Healthcare Disruption

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HIMSS 2018…See you there!

HIMSS17 in Orlando was a great conference for Wellpepper. We’re looking forward to HIMSS18 in Las Vegas even more!

We have a long list of sessions to attend and booths to visit, but below are some places you’re guaranteed to find us:

Monday, March 5th

  • Hear from Tami Deangelis on how our research partners at Boston University engaged patients outside the clinic and improved outcomes using Wellpepper care plans. She is speaking at the “Remote Patient Messaging for Adherence and Engagement” session from 4:05pm-4:25pm at the Patient Engagement & Experience Summit

Tuesday, March 6th

  • Hall G, Innovation Zone: Booth 9900-78 from 9am-6pm
  • CTO, Mike Van Snellenberg will be demonstrating our voice-powered scale and foot scanner, and integrated diabetes care plan at the Industry Showcase at BHI & BSN 2018 https://bhi-bsn.embs.org/2018/industry-showcase/

Wednesday, March 7th

  • Hall G, Innovation Zone: Booth 9900-78 from 9am-6pm
  • CEO, Anne Weiler, will be sharing the Wellpepper Vision and Mission at HIMSS VentureConnect http://www.himssconference.org/education/specialty-programs/venture-connect
  • CEO, Anne Weiler, will be joining other industry leaders to continue the conversation with CMS toward inclusion of patient engagement and outcomes tracking in the MIPS Improvement Activity for provider reimbursement

Thursday, March 8th

  • Hall G, Innovation Zone: Booth 9900-78 from 9am-4:30pm

We can’t wait to connect with friends, partners, colleagues and industry leaders to continue the journey towards an amazing patient experience. Hope to see you there!

Posted in: Healthcare Disruption, Healthcare Technology, M-health, Outcomes, patient engagement, Uncategorized

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Alexa, Get Well Soon

The unofficial winner of the Super Bowl ad race this year was “Alexa Loses Her Voice”, an ad that shows celebrities subbing for Alexa when she (anthropomorphic being that she is, comes down with a cold). Both USA Today and YouTube are calling it the most watched ad.

Alexa, who won USA TODAY’s 30th Ad Meter?

“Well, um – me.”

Jeff Bezos looks skeptical that his team can replace Alexa as he should be, since their solution of Gordon Ramsay, CardiB, Rebel Wilson, and Anthony Hopkins is both extremely expensive, (Wellppper CTO Mike Van Snellenberg did the math), and breaks the key trust relationship that people have with Alexa.

Voice is a natural interface, and empathy can be quickly established by the types of utterances and engagement. By default, Alexa apologizes when she doesn’t understand something and it feels genuine. Compare that to Gordon Ramsay insulting his poor hapless user—all the guy wants is a bit of help making some comfort food. What he gets is abuse.

Or, the woman who wants Alexa’s help while she’s in her boudoir presumably getting ready for a date with her love. Instead, Anthony Hopkins insinuates that something horrific has happened to her beau possibly involving a pet peacock.

Cardi B insults a young man’s interest in Mars. Let’s hope she has not squashed his spirit of discovery and his desire to ask questions.

Since this is an all-ages blog, we won’t even mention the response Rebel Wilson gives from her bubble bath to the poor gentleman who asked Alexa to set the mood for a party. He and everyone at his party were fully traumatized.

We get it, Alexa is just better at delivering what people are asking for than real people. Especially real people with attitude like these celebrities.

As we found in our research with people with type 2 diabetes, Alexa has a natural ability that these celebrity Alexa impersonators do not. You can see it in this feedback we received from real people trying to manage Type 2 diabetes.

  • “Voice gives the feeling someone cares. Nudges you in the right direction”
  • “Instructions and voice were very calm, and clear, and easy to understand”

Voice is a natural fit to deliver empathy and care. However, since each one of these people is expecting Alexa, and has no visual indicator that anything has changed, the negative experiences will reflect on Alexa and she’ll have to win back their trust.

While the implied message of the ad spot is that Alexa does a better job of delivering on your needs than any of these celebrity experts we’re still feeling a bit traumatized by the abuse they hurled. For the sequel to this commercial, we’d expect to see Jeff firing the team that replaced Alexa with celebrities, and Alexa as a therapist working through the trust issues that her replacements created. She can do it. We believe in her.

Posted in: Behavior Change, Healthcare Disruption, Healthcare Technology, Voice

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CES 2018 Review: More Consumer Healthcare Disruption Please

CES 2018 Review: More Consumer Healthcare Disruption Please

We went to CES 2018 to understand more about how the consumer technology space was poised to disrupt healthcare. As a digital healthcare company, we sit in many conversations with established healthcare organizations. We know that they are concerned about the consumerization of healthcare and how this could disrupt the very core of their business. Fears about the big-5 technology companies moving into healthcare are themes in many an executive healthcare planning retreat.

So, what did this bold, disruptive vision of consumer-driven, technology-driven healthcare look like? Hundreds of companies selling rip-off activity tracking watches, and connected blood pressure cuffs and scales. The big booths felt depressingly resigned to a future where consumers would somehow want to buy big clunky medical monitoring devices-rebranded-as-consumer-devices, and then maybe sign into a dusty old web portal to view the data. “Requires Internet Explorer 5 or higher” warned one brochure – a browser that was literally released in the 90s. A disruptive consumer story this was not. Nothing to worry about here, big healthcare.

There was some innovation to be seen, of course, including some truly interesting devices in the small 10×10 booths. Products like TytoCare’s tricorder for at-home vitals capture, and healthcare-relevant wearables like those from Sensoria. Also the number of do-it-at-home biological tests like Ellume’s at-home flu and strep tests and food allergen detectors like Nima are of particular interest to my household and our matrix of peanut, tree-nut, gluten, strawberry and peach allergies.

What’s missing is someone to pull these innovative ideas and devices together and offer a comprehensive vision for what consumer-driven healthcare could look like in a way that consumers would actually want to spend money on. Where’s the LG-OLED-tunnel of consumer health? Even if they didn’t have anything yet – at least sell the vision the way all those car vendors are selling the vision of self-driving cars.

We suspect that, as with self-driving cars (Tesla, Google) and smart phones (Apple), the companies with most complete vision in healthcare maybe just aren’t telling this story at CES. Google, Apple, Amazon, Microsoft, Facebook: can’t wait to see your consumer healthcare booth when it’s ready, either at CES or some other show.

Posted in: Healthcare Disruption

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May You Live In Interesting Times: Wellpepper’s Most Interesting Blog Posts of 2017

Who would have predicted 2017? As soon as the election results were in, we knew there would be trouble for the Affordable Care Act no one could have predicted the path through repeal with no replacement to claw backs in a tax bill that no one has read. It’s been a crazy ride in healthcare and otherwise. As we look ahead to 2018, we’ve found that a good place to start is by looking back at what was popular in 2017.

Looking back over the past year’s top blog posts, we also believe trends that started in 2017, but will even stronger in 2018. These four themes bubbled up to the top in our most-read blog posts of 2017:

Shift to the cloud

We’ve noticed a much wider spread acceptance of cloud technologies in healthcare, and the big cloud platform vendors have definitely taken an interest in the space. Wellpepper CTO Mike Van Snellenberg’s comprehensive primer on using AWS with HIPAA protected data was one of our most read posts. Since he wrote it, even more AWS services have become HIPAA-eligible.

Using AWS with HIPAA-Protected Data – A Practical Primer

Consumerization of healthcare

Consumer expectations for efficient online interactions have been driven by high-deductible plans and an expectation from consumer technology and industries like retail and banking that customer service should be personalized, interactive, and real-time. These two posts about the consumerization of healthcare were among the most popular.

The Disneyfication or Consumerization of Healthcare

Consumerization Is Not A Bad Word

Value of patient-generated data

In 2017 we saw a real acceptance of patient-generated data. Our customers started asking about putting certain data in the EMR, and our analysis of the data we collect showed interesting trends in patient adherence and predictors of readmission. This was reflected in the large readership of these two blog posts focused on the clinical and business value of collecting and analyzing patient-generated data.

In Defense of Patient-Generated Data

Realizing Value In Patient Engagement

Power of voice technology

Voice technology definitely had a moment this year. Okay Google, and Alexa were asked to play music, turn on lights, and more importantly questions about healthcare. As winners of the Alexa Diabetes Challenge, we saw the power of voice firsthand when testing voice with people newly diagnosed with Type 2 diabetes. The emotional connection to voice is stronger than mobile, and it’s such a natural interaction in people-powered healthcare. Our blog posts on the Alexa Diabetes Challenge, and developing a voice solution were definitely in the top 10 most read.

Introducing Sugarpod by Wellpepper, a comprehensive diabetes care plan

Building a Voice Experience for People with Type 2 Diabetes

Ready When You Are: Voice Interfaces for Patient Engagement

Since these themes are still evolving we think 2018 will present a shift from investigation to action, from consideration to deployment and possibly insights. Machine-learning and AI will probably remain high in the hype cycle, and certainly the trends of horizontal and vertical healthcare mergers will continue. We also expect a big move from one of the large technology companies who have all been increasing their focus in healthcare, which in turn will accelerate the shift to a consumer-focus in healthcare.

There’s a saying “may you live in interesting times.” We expect 2018 to be at least as interesting as 2017. Onwards!

Note: There was one additional post that hit the most popular list. Interestingly, it was a post from 2014 on whether SMART or MEANINGFUL goals are better for patients. We’re not sure why it resurfaced, but based on analysis we’ve done of patient-directed goals, we think there’s a third approach.

Posted in: Behavior Change, Healthcare Disruption, Healthcare motivation, Healthcare Research, Healthcare Technology, Healthcare transformation, HIPAA, patient engagement, patient-generated data, Voice

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Pointing Fingers at Healthcare Problems

I’m only halfway through Elizabeth Rosenthal’s “An American Sickness: How Healthcare Became Big Business and How You Can Take It Back” which means that I haven’t gotten to the “what you can do about the problem” part. It’s a slow read, not because it’s not compelling but because it’s too compelling, and if like the current President, you were surprised at how complicated healthcare is, this book will do nothing to dissuade you. It’s really really complicated.

So far, I have two main takeaways from the book, that are easily illustrated through my recent experience of breaking and dislocating my finger: a simple, non-life-threatening problem, that unearthed a couple of key dysfunctions and unintended consequences.

My first takeaway is that everyone is complicit, and yet seem to manage to finger point at everyone else. Rosenthal spares no punches in unearthing decisions that are not made with the best interest in of the patient at heart. Providers, healthcare organizations, payers, pharma, and employers all are complicit in the mess that is our current healthcare system.

This past fall, I broke and dislocated my finger. It wasn’t a big deal, but because it happened on a Saturday night, my only option for care was at the ER. Last week I received a letter in the mail from my insurance company, that according to the envelope required my urgent reply. In the letter, the insurance company suggested that perhaps someone other than them may be on the hook for my ER bill. While I understand they wanted to make sure this wasn’t a worker’s compensation claim, the form was basically for me to tell them whose fault my injury was so that they could go after another insurance company to pay. This was a sports injury in a game of Ultimate Frisbee, a game so granola-like that there are no referees: players call fouls on themselves. . No one was at fault, and even if they were, I would never have considered suing. However, the form didn’t give me that option: only gave me the option of saying whether I had settled my claim. I created a new box that said “NA” and checked it.

When I received the letter, I couldn’t help but think back to Rosenthal’s book, and also consider the amount of effort and cost that was going into finding someone else to blame and pay. Just imagine what this effort and cost would have been if there were legal action….

The second takeaway is that the original intention of a decision always has much farther reaching implications than anyone who agreed on what seemed like a reasonable decision though. Again with the finger, I was asked a number of times if I wanted a prescription for OxyContin. I did not. As has been well publicized we have an opioid addiction problem in North America. While my finger hurt, aside from morphine during inpatient for an appendectomy, I hadn’t had opioids, and really didn’t think that it was necessary, which I explained to the physician. It wasn’t. Tylenol worked fine—however, it seemed that it was very important that I be the one to make this call, not the physician.

One of the unintended consequences of patient satisfaction scores may be the over prescription of pain medication, as many of the questions on the HCAHPS are about whether the patient’s pain was well managed. In Rosenthal’s book, I was also surprised to learn that a finger fracture where an opioid is prescribed has a different billing code than if it is not prescribed, and that with the fracture plus opioid billing code, hospitals get paid more. Now, if you are wondering how this may be the case, if you think about it, a fracture that requires an opioid must be more severe than one that doesn’t and therefore the billing code reflects the severity. This is exactly where the unintended consequences of billing codes can result in exactly the wrong behavior for patient care and safety.

It’s quite possible that the physicians on duty were not aware of either of these two drivers for prescribing, especially the billing code one. They may have just been told “this is our standard of care” and were following guidelines.

If a simple finger fracture and dislocation can shine a light on two key problems in our healthcare system, just imagine what else is out there. Actually, you don’t have to, just get a copy of Elizabeth’s book yourself, and let’s compare notes when I get to the part about what the fix is. It’s going to take all of us.

Posted in: Health Regulations, Healthcare costs, Healthcare Disruption, Healthcare Legislation, Healthcare Policy, Healthcare transformation, Opioids

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Healthcare + A.I. Northwest

The Xconomy Healthcare + A.I. Northwest Conference at Cambia Grove featured speakers and panels discussing the opportunities and prospects for applying machine learning and artificial intelligence to find solutions for health care. The consensus was that we are no longer held back by a lack of technological understanding and ability. A.I. and M.L. models can be learned at a large scale by harnessing the power of the cloud and advances in data science. According to the panelists, today’s challenges to incorporating A.I. into healthcare include abundant, but inadequate data and resistance from health systems and providers.

Many researchers have found insufficient data to be an unexpected challenge. As keynote speaker Peter Lee of Microsoft Research pointed out, the more data we have, the better our machine learned models can be. He used an analogy to a speech identifier trained on multiple languages such that the model predicted English better after learning French to illustrate that improvements can be made with large sets of unstructured data. Unfortunately, because we are not capturing enough of the right kind of data for researchers, much patient data is getting lost in the “health data funnel” due to PHI and quality concerns. Lee called for more data sharing and data transparency at every level.

Physician researchers on multiple panels were concerned about a lack of suitable data. Soheil Meshinchi, a pediatric oncologist from Fred Hutchinson Cancer Research Center, is engaged in collecting data specific to children. He discussed his research on Acute Myeloid Leukemia on the panel titled, ‘Will A.I. Help Discover and Personalize the Next Breakthrough Therapy?’. While there is a large body of research on AML in adults, he has found that the disease behaves much differently at a genomic level in children. He also expressed distrust in some published research because studies are rarely reproduced and often a researcher who presents results contrary to existing research faces headwinds at journals who are reticent to publish “negative data”. His focus at this point is gathering as much data as he can.

Matthew Thompson, a physician researcher at the University of Washington School of Medicine, argued on the “Innovations for the Over-Worked Physician” panel that technology has made patient interaction demonstrably worse, but that these problems can and should be solved innovatively with artificial intelligence. His specific complaints include both inputting and extracting data from health system EHRs, as well as an overall glut of raw patient data, often generated by the patient himself, and far too much published research for clinicians to digest.

Both keynote speakers, Microsoft’s Lee and Oren Etzioni of the Allen Institute for Artificial Intelligence, referenced the large numbers of research papers published every year. According to Etzioni, the number of scientific papers published has doubled every nine years since World War II. Lee referenced a statistic that 4000 studies on precision cancer treatments are published each year. They are both relying on innovative machine reading techniques to analyze and categorize research papers to make them more available to physicians (and other scientists). Dr. Etzioni’s team has developed SemanticScholar.org to combat the common challenges facing those who look for research papers. He aims to reduce the number of citations they must follow while also identifying the most relevant and up-to-date research available. One of the advantages of taking this approach to patient data

is that scientific texts have no PHI concerns. Lee’s team is marrying patient data and machine reading to match potential research subjects with appropriate NIH studies.

Dr. Thompson was concerned that too much data is presented to the medical staff and very few of the “predictive rules” used by ER personnel are both ‘accurate and safe’. When reviewing patient outcomes and observations to predict the severity of an infection, he found that patients or their caregivers would provide ample information, but often clinicians would disregard certain details as noise because they were atypical symptoms. The amount of data that providers have to observe for a patient is massive, but machine learned models may be utilized to distill that data into the most relevant and actionable signals.

Before data is gathered and interpreted, it must be collected. Like Dr. Thompson, Harjinder Sandhu of Saykara sees ponderous, physician-driven data entry via EHR as significant barrier to efficient data collection. Sandhu notes that healthcare is the only industry where the highest-paid teammember is performing this onerous task and his company is using artificial intelligence to ease that burden on the physician.

Once patient data has been aggregated and processed into models, the challenge is getting the information in front of providers. This requires buy-in from the health system, physician, and, occasionally, the patient and his caregivers. Mary Haggard of Providence Health and Services spoke on the “Tech Entrepreneurs Journey into Healthcare” panel and stated that the biggest problem for entrepreneurs is defining the correct problem to solve. During the “Investment Perspective” panel, Matt Holman of Echo Health Ventures recommended tech startups emphasize an understanding of the context of the problem within a health system.

One of the most important and difficult hurdles for health technology companies is working into clinical workflow. Mike McSherry from Xealth has found that physician champions who know how they want to use technology help with integrating into a health system or physicians group. Lynn McGrath of Eigen Healthcare believes physicians want their data to be defined, quick to assess, condensed, and actionable, while Shelly Fitz points out that providers are not used to all the data they are receiving and they don’t yet know how to use it all. These are all issues that can and will be solved as healthcare technology continues to become more intelligent.

As Wellpepper’s CTO, Mike Van Snellenberg pointed out, health systems and doctors are resistant to “shiny new things”, for good reason. When approaching a health system, in addition to engaging the administration, clinicians need to understand why the machine learned model is recommending a given course of treatment. After integration, patients will also want to understand why a given course of treatment is being recommended. Applying artificial intelligence solutions to medicine must take into account the human element, as well.

The exciting possibilities of artificial intelligence and machine learning are hindered more by human constraints in health systems and data collection than by available technology. “Patients are throwing off all kinds of data when they’re not in the clinic,” according to our CTO. Wellpepper’s tools for capturing patient-generated data provide a pathway for providers to access actionable analysis.

Posted in: Healthcare Disruption, Healthcare Technology, patient engagement

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Disruptive Innovation, Sparks of Light, or the Evolution of Care: Recap of Mayo Transform Conference

In what has been a roller-coaster year for healthcare legislation, it’s the annual touchstone of the Mayo Clinic Transform Conference provided a welcome opportunity to reflect on where we are. This conference, sponsored by the Mayo Clinic Center for Innovation attracts powerhouse speakers like Andy Slavitt and Clayton Christensen, and yet manages to fly under the radar. This year’s theme was about closing the gap between people and health, so the social determinants of health were a key topic, as was whether disruption alone would solve the problem.

Dr Robert Pearl

This was my third year attending, and second year speaking at the conference, and I’ve noticed a trend: the conference starts by articulating the problem, and building up solutions and creative ways to reshape the problems over the course of the two days. This year the conference was deftly moderated by Elizabeth Rosenthal, MD,Editor-In-Chief of Kaiser Health News and author of “An American Sickness.” Rosenthal, an MD herself, and former NYTimes journalist, peppered her moderation with real-world examples of both waste and inefficiencies and effective programs based on her investigative journalism.

I’ve been wanting to write a blog post for a while that riffs on the theme of “You Are Here” trying to outline where we are in the digital evolution in healthcare, but it’s clear that we don’t know where we are, digital or otherwise: too much is currently in flux. There are points of light with effective programs, and things that seem very broken. The panel I was on, was titled “Disruptive Innovation” and I’m afraid we let the audience down, as while we are doing some very interesting things with health systems, we are not turning every model on its head. We work with providers and patients to help patients outside the clinic. Truly disruptive innovation would work completely outside the system, which leads to the question, can health systems disrupt themselves or will it come from entirely new entrants like say Google, Apple, or Amazon?

Dr. David Feinberg of Geisinger reads from debate opponent Dr. Robert Pearl’s book

Clayton Christensen, the closing keynote speaker, likens hospitals to mainframe computers, and basically says they will be overtaken by smaller more nimble organizations, much like the PC and now smartphone revolution. Organizations like Iora Health who holistically and preventatively manage a Medicare Advantage population are the epitome of these new entrants, and we’ve seen some hospitals struggle this year, but will they go away entirely? The answer to this question may lie in the excellent debate session “Is The US Healthcare System Terminally Broken” hosted by Intelligence Squared and moderated by author and ABC News Correspondent John Donovan.

 

Shannon Brownlee, senior VP of the Lown Institute and visiting scientist at the Harvard T.H. Chan School of Public Health, and Robert Pearl, MD, and former CEO of the Permanente Medical group were arguing that the system is broken, vs Ezekiel Emmanuel, MD, Senior Fellow Center for American Progress, and David Feinberg, MD, CEO of Geisinger.

While prior to the debate the audience favored the idea that the system is irreparably broken, by the end, they had come around to the idea that it’s not, which would point to the ability for healthcare to disrupt itself. The debate

Is Healthcare Terminally Broken

The final audience vote

was ridiculously fun, partially from the enthusiasm of the debaters, and because the topic was so dear to all attendees. You can listen to the podcast yourself. However, the posing of the question set up an almost impossible challenge for Pearl and Brownlee: they had to argue the patient is terminal, but without any possible solution. No one in the room wanted to hear that, and so when Emmanuel and Feinberg were able to point to innovative programs like the Geisinger Money Back Warranty or Fresh Food Pharmacy that just needed to find scale, the audience latched onto the hope that we can fix things, and we all have to believe in these points of light, to face each new day of challenges.

Posted in: Health Regulations, Healthcare Disruption, Healthcare Legislation, Healthcare Policy, Healthcare Technology, Healthcare transformation

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Alexa Voice Challenge for Type 2 Diabetes: Evolving An Idea

For the past couple of months some of our Wellpepper team, with some additional help from a couple of post-docs from University of Washington, have been working hard on a novel integrated device, mobile, and voice care plan to help people newly diagnosed with type 2 diabetes as part of our entry in the Alexa Diabetes Challenge.

Team Sugarpod

This challenge offered a great opportunity to evolve our thinking in the power of integrating experiences directly into a person’s day using the right technology for the setting. It also provided the opportunity to go from idea to prototype in a rapid timeframe.

Our solution featured an integrated mobile and voice care plan, and a unique device: a voice powered scale that scans for diabetic foot ulcers, a leading cause of amputation, hospitalization, and increased mortality, and is estimated to cost the health system up to $9B per year.

During the challenge, we had access to amazing resources, including a 2-day bootcamp held at Amazon headquarters during which we heard from experts in voice, behavior change, caring for people with type 2 diabetes, and a focus group with people who have type 2 diabetes. We also had 1:1 sessions with various experts who had seen our entry and helped us think through the challenges of developing it. After the bootcamp, we were assigned a mentor, an experienced pharmacist and diabetes educator, who was available for any questions. Experts from the bootcamp also held office hours where we explored topics like

Early Prototype Voice Powered Scale & Scanner

how to help coach people in what they can do with an Alexa skill, and how to build trust with a device that takes pictures in your bathroom.

As we evolved our solution, we were fortunate to have support from Dr Wellesley Chapman, medical director of Kaiser Permanente Washington’s Innovation Group. We were able to install the device in a Diabetes and Wound Clinic. We used this to train our image classifier to look for foot ulcers, and compare results to human detection, and also to test the voice service. We used an anonymous voice service as Alexa and the Lex services are not currently HIPAA-eligible.

We gathered feedback from diabetes educators, clinicians at KP Washington, and across the country, and from people with Type 2 diabetes. While not everyone wanted to use all aspects of the solution, they all felt that the various components: voice, mobile, and device offered a lot of support and value. As well, we determined that there is an opportunity for a voice-powered scale and scanner in the clinic which could aid in early detection and streamline productivity. Voice interactions in the clinic are a natural fit.

Judges and Competitors: Alexa Diabetes Challenge

The great thing about a challenge is the constraints provided to do something really great in a short period of time. We’re so proud of the Sugarpod team, and also incredibly impressed with the other entries in this competition ranging from a focus on supporting the mental health challenges faced by people newly diagnosed with Type 2 diabetes to a specific protocol for diet and nutrition, to solutions that helped manage all aspects of care. We enjoyed meeting our fellow competitors at the bootcamp and the final, and wish we had met in a situation where we could collaborate with them. We also appreciated the thoughtful feedback and questions from the judges, and would definitely have a lot to gain from deeper discussions with them on the topic.

Stay tuned for more on our learnings through this challenge and our experiences with voice.

Posted in: Healthcare Disruption, Healthcare Technology, Healthcare transformation, M-health, Managing Chronic Disease, Outcomes, patient engagement, patient-generated data

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Who Defines Value?

Pharma companies have recently jumped on the value bandwagon with proposals for value-based drug pricing based on outcomes and effectiveness. They have started to enter contracts with payers for specific drugs based on the impact the drug has on the condition the drug is treating.

This is a step in the right direction, and much better than pricing based on maximizing shareholder value, but value is in the eye of the beholder, and the patient is a key stakeholder. Shared decision making does a good job defining what’s important to a patient. The goal of shared decision making is to choose courses of care that offer the best outcome to the patient, and can consider some of the following:

  • Is this procedure my only option? What are alternative types of treatment?
  • What are the possible outcomes and side effects of each option, including the option of doing nothing?
  • What is the estimated cost of the procedure and any related follow-up care or medication?

Source: Center for American Progress

Simply, value can be defined by the following.

The challenge of the equation is in the definitions of acceptable outcomes and costs. Here are a few things that people might consider when evaluating a drug or a course of care.

  • Inconvenience or effort: How much does this disrupt their life? Does it prevent the person from doing other things?
  • Cost: How much does it cost? This could be in monetary terms, time, side effects, or quality of life.
  • Outcome: What is the expected outcome and how closely does it align with the outcome that’s important to me?

You can see that based on these factors, that healthcare can be a market of one. My idea of value and acceptable outcomes could be very different from yours. And, unfortunately, the patient is not a consumer in a free and transparent market. That said, it is possible to make consumer-like decisions in healthcare.

Let’s look at the value decision I tried to make this past weekend. I fractured and dislocated a finger while playing Ultimate Frisbee. I was pretty sure the finger was dislocated, which shouldn’t be a big deal, so tried to go to urgent care where I expected value based on time, outcome, and cost. Well guess what? Urgent care is not open on a Saturday night. I had a feeling that emergency care would not meet my value criteria of effort, since I expected a long wait, and I got it. On the cost, I did know that the provider I went to was in-network so that wasn’t a big issue, but I still don’t know the total cost if I’d had to pay out of pocket.

Waiting in ED

Waiting

Outcome was great, and the level of care was great. What was not great is that it took 4 hours to get x-rays, pop my finger back in, and splint it. If I had been choosing as a consumer, I’d never have chosen this. With higher deductibles and co-pays, people are making decisions as consumers which is why hospitals advertise wait times, and some are looking at how to completely overhaul the ER, both of which would get us closer to value.

Let’s look at an example on value-based drug pricing. Back when I had the Cadillac of US healthcare plans when I was working at Microsoft, I was prescribed a topical psoriasis drug. The expected outcome was no psoriasis lesions. The cost was $800 for a 60g tube. Since I didn’t have to pay anything out of pocket, I got the prescription. Did it work? Yes. Was it worth it to me? No. I had other creams that cost much less, and worked almost as well. I didn’t end up getting it again—I wouldn’t have paid $800 for it myself, so why should my employer? If cost is not part of the equation, people are making decisions with only partial information, and can’t possibly judge value. Co-pays and transparency can help guide people to consumer-like behavior in healthcare, even in an imperfect market.

What’s the upside? The upside is that we’re having these discussions, and that we can see a shift to value and consumer focus, even without legislation, which is really how it needs to happen. The other thing to remember is that people want to deliver excellent and quality care. Everyone I met during my finger ordeal, from the admitting staff to the x-ray tech, to the resident who was excited to see a dislocation he’d never seen before was excellent, and that defines quality in my mind. Maybe we have less far to go than we thought.

Posted in: Healthcare Disruption, Healthcare Legislation, Healthcare motivation, Healthcare Policy, Outcomes

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But Will It Fly? What Airlines and Healthcare Organizations Have In Common

What do airlines and healthcare systems have in common? Quite a lot it turns out, from a recent power breakfast featuring Rod Hochman, CEO of Providence St. Joseph Hoag Health system, and Brad Tilden, CEO of Alaska Airlines. In addition to the Pacific Northwest roots of both organizations, both have also undertaken mergers to gain market share and increase physical territory. Both serve a large cross-section of the population, and both are in highly-regulated industries that are not necessarily known for customer service that are grappling with new always connected user experiences and expectations.

The wide-ranging discussion included early inspiration for Hochman and Tilden’s early careers, how to motivate and engage a wide range of employees, and how to deal with competition and lead change. Both leaders had early influences on their career direction. Hochman knew he wanted to be a doctor at 16 when assisting on surgeries (!), and Tilden grew up beside Seatac airport watching planes while his peers were watching girls. Tilden grew his career at Alaska, while Hochman is a practicing rheumatologist, who has worked his way from small clinic to major system. Hochman joked that a rheumatology specialty is much more suited to success in administration than say surgery, equating running a hospital to the patient required in managing chronic diseases.

Airlines and health systems have similar challenges with employee experience. Both types of organizations have highly skilled staff, pilots and physicians, who demand a lot of autonomy. Mistakes in both professions can cause loss of life. The difference is that aviation has moved a lot faster in instituting standard procedures and checklists to improve safety and outcomes. Tilden frequently referenced an Alaska Air crash 17 years ago that impacted their approach to safety, and talked about the ways pilots and co-pilots double check settings. Hochman talked about his hope for quality improvements and better collaboration from the younger generation of physicians who have grown up in a world of checklists and standardization, and said that the ones who only care about being left alone to make decisions will retire.

They also have large teams of people who “get stuff done.” Hochman has banned the term ‘middle management’ since he sees those people as the ones who are making things happen, instead he calls them “core team”, a term that Tilden quipped he’d also start using.Rod Hochman & Brad Tilden

Customer experience was also top of mind for both execs. Tilden talked about Alaska adopting Virgin’s mission of being the airline people love. While he seemed to find some of Virgin’s approach to be a bit edgy compared to Alaska, he said you couldn’t find a better mission. Both grappled with the ease of sharing bad experiences on social media, and indicated that social media monitoring has become a key tool in managing consumer expectations. Hochman, also noted that it all comes back to the individual experience when he described that his staff hate when he has his own annual physical, because his expectations as a patient are much higher than what he experiences, especially with respect to convenience and information flow.

Both are optimistic and passionate leaders who genuinely care about the consumer and employee experience, and had as good a time interviewing each other as the audience did listening to them. This event was sold out, so if an opportunity like this comes up again, sign up early.

Posted in: Healthcare Disruption, Healthcare Technology, Healthcare transformation, M-health

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Introducing Sugarpod by Wellpepper, a comprehensive diabetes care plan

We’re both honored and excited to be one of five finalists in the Alexa Diabetes Challenge. We’re honored to be in such great company, and excited about the novel device our team is building. You may wonder how a team of software folks ends up with an entry with a hardware component. We did too, until we thought more about the convergence happening in technology.

We were early fans of the power of voice, and we previewed a prototype of Alexa integration with Wellpepper digital treatment plans for total joint replacement at HIMSS in February 2017. Voice is a great interface for people who are mobility or vision challenged, and the design of Amazon Echo makes it an unobtrusive home device. While a mobile treatment plan is always with you, the Amazon Echo is central in the home. At one point, we thought television would be the next logical screen to support patients with their home treatment plans, but it seems like the Echo Show is going to be more powerful and still quite accessible to a large number of people.

Since our platform supports all types of patient interventions, including diabetes, this challenge was a natural fit for our team, which is made up of Wellpepper staff and Dr Soma Mandal, who joined us this spring for a rotation from the University of Georgia. However, when we brainstormed 20 possible ideas for the challenge (admittedly over beer at Fremont Brewing), the two that rose to the top involved hardware solutions in addition to voice interactions with a treatment plan. And that’s how we found ourselves with Sugarpod by Wellpepper which includes a comprehensive diabetes care plan for someone newly diagnosed, and a novel Alexa-enabled device to check for foot problems, a common complication of diabetes mellitus.

Currently in healthcare, there are some big efforts to connect device data to the EMR. While we think device data is extremely interesting, connecting it directly to the EMR is missing a key component: what’s actually happening with the patient. Having real-time device data without real-time patient experience as well, is only solving one piece of the puzzle. Patients don’t think about the devices to manage their health – whether glucometer, blood pressure monitor, or foot scanner – separately from their entire care plan. In fact, looking at both together, and understanding the interplay between their actions, and the readings from these devices, is key for patient self-management.

And that’s how we found ourselves, a mostly SaaS company, entering a challenge with a device. It’s not the first time we’ve thought about how to better integrate devices with our care plans, but is the first time we’ve gone as far as prototyping one ourselves, which got us wondering which way the market will go. It doesn’t make sense for every device to have their own corresponding app. That app is not integrated with the physician’s instructions or the rest of the patient’s care plan. It may not be feasible for every interactive treatment plan to integrate with every device, so are vertically integrated solutions the future? If you look at the bets that Google and Apple are making in this space, you might say yes. It will be fascinating to see where this Alexa challenge takes Amazon, and us too.

We’ve got a lot of work cut out for us before the final pitch on September 25th in New York. If you’re interested in our progress, subscribe to our Wellpepper newsletter, and we’ll have a few updates. If you’re interested in this overall hardware and software solution for Type 2 diabetes care, either for deploying in your organization or bringing a new device to market, please get in touch.

Read more about the process, the pitch, and how we developed the solution:

Ready When You Are: Voice Interfaces for Patient Engagement

Alexa Voice Challenge for Type 2 Diabetes: Evolving a Solution

 

Posted in: Behavior Change, chronic disease, Healthcare Disruption, Healthcare Technology, Healthcare transformation, M-health, Managing Chronic Disease, patient-generated data

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In Defense of Patient-Generated Data

There’s a lot of activity going on with large technology companies and others trying to get access to EMR data to mine it for insights. They’re using machine learning and artificial intelligence to crawl notes and diagnosis to try to find patterns that may predict disease. At the same time, equal amounts of energy are being spent figuring out how to get data from the myriad of medical and consumer devices into the EMR, considered the system of record.

There are a few flaws in this plan:

  • A significant amount of data in the EMR is copied and pasted. While it may be true that physicians and especially specialists see the same problems repeatedly, it’s also true that lack of specificity and even mistakes are introduced by this practice.
  • As well, the same ICD-10 codes are reused. Doctors admit to reusing codes that they know will be reimbursed. While they are not mis-diagnosing patients, this is another area where there is a lack of specificity. Search for “frequently used ICD-10 codes”, you’ll find a myriad of cheat sheets listing the most common codes for primary care and specialties.
  • Historically clinical research, on which recommendations and standard ranges are created, has been lacking in ethnic and sometimes gender diversity, which means that a patient whose tests are within standard range may have a different experience because that patient is different than the archetype on which the standard is based.
  • Data without context is meaningless, which is physicians initially balked about having device data in the EMR. Understanding how much a healthy person is active is interesting but you don’t need FitBit data for that, there are other indicators like BMI and resting heart rate. Understanding how much someone recovering from knee surgery is interesting, but only if you understand other things about that person’s situation and care.

There’s a pretty simple and often overlooked solution to this problem: get data and information directly from the patient. This data, of a patient’s own experience, will often answer the questions of why a patient is or isn’t getting better. It’s one thing to look at data points and see whether a patient is in or out of accepted ranges. It’s another to consider how the patient feels and what he or she is doing that may improve or exacerbate a condition. In ignoring the patient experience, decisions are being made with only some of the data. In Kleiner-Perkin’s State of the Internet Report, Mary Meeker estimates that the EMR collects a mere 26 data points per year on each patient. That’s not enough to make decisions about a single patient, let alone expect that AI will auto-magically find insights.

We’ve seen the value of patient engagement in our own research and data collected, for example in identifying side effects that are predictors of post-surgical readmission. If you’re interested, in these insights, we publish them through our newsletter.  In interviewing patients and providers, we’ve heard so many examples where physicians were puzzled between the patient’s experience in-clinic or in-patient versus at home. One pulmonary specialist we met told us he had a COPD patient who was not responding to medication. The obvious solution was to change the medication. The not-so-obvious solution was to ask the patient to demonstrate how he was using his inhaler. He was spraying it in the air and walking through the mist, which was how a discharge nurse had shown him how to use the inhaler.

By providing patients with useable and personalized instructions and then tracking the patient experience in following instructions and managing their health, you can close the loop. Combining this information with device data and physician observations and diagnosis, will provide the insight that we can use to scale and personalize care.

Posted in: Adherence, big data, Clinical Research, Healthcare Disruption, Healthcare Research, Healthcare Technology, Healthcare transformation, Interoperability, M-health, patient engagement, patient-generated data

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Consumerization Is Not A Bad Word

When you say consumerization, especially with respect to healthcare, people often jump to conclusions about valuing service over substance. There’s a lot of confusion over the meaning of consumerization, whether it’s possible in healthcare, and whether it’s happening. I recently had the privilege of speaking at the Washington State Health Exchange’s Annual Board Retreat on this topic. (Perhaps you saw it, the event was live-streamed to the public. 😉 ). The Health Exchange is pondering questions of how to attract new users, how to better serve their needs, and how to make the experience more useful and engaging. And, this my friends is consumerism, or at least one facet of it: user focus, better service, understanding needs. Doesn’t sound bad at all, does it? In fact, it sounds like something any good service or organization should be doing for its customers.

Consumer-centered pain scale. Baymax from Disney's Big Hero Six

Consumer-centered pain scale. Baymax from Disney’s Big Hero Six

And there’s that word, customers. That’s the debate. Are patients really customers? Not really, often they don’t have a choice, either because of their insurance coverage or from the necessity of an emergency where decisions are often made for patients. However, patients, and everyone else for that matter (except people in North Korea), are consumers, and they judge healthcare experiences both service delivery and technology as consumers. Think of it like this, your patients will judge your experiences through the lens of any other service they’ve interacted with. Fair or not, they will do that. Why do they do this? It’s human nature to remember positive experiences and try to seek them out. Although there’s another reason: high-deductibles are also driving people to examine where they are spending their healthcare dollars, and they evaluate based on outcomes, convenience, and the overall experience.

Since healthcare technology is my area of expertise, let’s stick to that rather than critiquing hospital parking, food, or beds. (Although these are often things that impact HCAHPS scores.) Consumerization when applied to health IT means that patients have an expectation that any technology you ask them to engage with, and especially technology you ask them to install on their own devices, will be as usable as any other app they’ve installed.

Consumerization also impacts internal health IT. Doctors were the first wave, when they pushed using their own devices to text with other providers within the hospital setting. (In IT this is often referred to as “bring your own device.”) The pager became obsolete and replaced with our own always on, always connected mobile devices. (Sadly, the fax machine, like a cockroach, keeps hanging in there.)

Patients are also bringing their own devices, and using them in waiting rooms and hospital beds. We’ve had patients reporting their own symptoms using Wellpepper interactive care plans from their hospital beds. This presents an opportunity to engage, and at a low cost: they are supplying the hardware. The final wave of consumerism will happen when clinicians and other hospital staff also demand convenient, usable, and well-designed tools for clinical care.

Consumerization is late to arrive in healthcare IT. Other industries have already reached tail end of this wave, and have already realized that technology needs to be easy to use, accessible, interoperable, and designed with the end-user foremost. However, consumerization is coming, both from internal staff demands and patients. Technology, healthcare IT, and the people that build and support it are facing scrutiny, being held to higher standards, and becoming part of the strategic decision-making healthcare organizations. This is a great thing, as it will result in better clinician and patient experiences overall, because at its core consumerism is about expecting value, and ease and getting it, and who doesn’t want that?

Posted in: Healthcare Disruption, Healthcare Technology, Healthcare transformation, Interoperability, M-health, Outcomes, Patient Satisfaction

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T2 Telehealth aka ATA 2017 aka ATA 23: Part 2, How Did We Get Here and Where Are We Going?

This was my second trip to Orange County Convention Center this year, so it was hard not to compare and contrast the annual American Telemedicine conference to HIMSS, the biggest health IT conference. As well, it was my third time at the ATA conference, back after skipping in 2016, and the gap made it easier to reflect on previous years as well.

The ATA annual is almost 10 times smaller than HIMSS, which makes it a lot less exhausting and easier to focus. There’s not a feeling that for every second you’re talking to someone you’re missing out on talking to someone else equally as interesting and valuable. (There is no shortage of interesting people, just a more manageable group.) The size also makes it a bit easier to talk to people as they’re not rushing off to walk a few miles across the convention center to the next session.

The first year I attended, 2014, the tradeshow floor was full of integrated hardware and software solutions, and Rubbermaid was even a vendor selling telemedicine carts. It was almost as though the iPad hadn’t been invented.  It was the year that Mercy Virtual launched their services as a provider of telestroke and telemonitoring for other health systems. A provider as a vendor caused a bit of a stir on the tradeshow floor.

By the next year, the integrated hardware and software vendors were dwindling, but talks were largely still given by academics and were focused on pilot projects that while showed success, talks often ended with a plea for thoughts on how to scale the program.

ATA evolved out of an academic conference and that’s still quite prevalent in the presenters who are often from academic medical centers, and reporting on studies rather than implementation. Data was important in all sessions, but measurement of value was inconsistent. In addition to academic medical centers, most leaders in telehealth seemed to be faith-based not-for-profits, like Mercy and Dignity, and as well as rural organizations where the value was clear.

That said, a welcome addition to this year’s content was two new tracks on Transformation and Value. I spoke in the Value track at ATA, along with Reflexion Health and Hartford Healthcare about the value of telerehab in total joint replacement, and we were able to share data points from real patient implementations, in addition to clinical studies. (If you’re interested, in the Wellpepper segment, get in touch.)

Although, harkening back to the day 1 keynote, the definition of value depended on the business model of the telemedicine platform being implemented. There’s no question that telestroke and neurology programs, and telebehavior programs deliver value especially in rural areas without direct access. At Wellpepper, we’ve seen definite results in post-acute care, both in recovery speed and readmissions.

In other sessions the value was not as clear and no one was able to fully refute the study that when offered the choice, patients used telemedicine in addition to in-person visits, thus driving up costs. In fact, the director of telemedicine for a prominent healthcare organization confirmed that patients were using televisits for surgical prep when they could have just read the instructions given to them. (Or interacted with a digital care plan like Wellpepper.)

As with every technology conference the voice of the patient was absent, with the exception of head of Mercy Virtual Randall Moore, MD who started all his presentations by introducing us to patient Naomi who was able to live out her life at home, attend bingo, and enjoy herself due to the benefits of the wrap-around telemedicine program that Mercy put In place. Oh, and it cost a lot less than the path of hospital admissions she’d been on previously. Sounds like triple aim, and what we all need to aspire to.

So, based on the keynotes, the sessions, and the show floor, I’d characterize this year’s conference as a world in flux, like what’s going on elsewhere. There was a sense of relief that the ACA had not been repealed. HIMSS took place before the proposed repeal and replace plan died, and there was a lot more fear and uncertainty. Vendors and providers alike are looking to strengthen the value chain. Unlike HIMSS, there was a lot less hype. Machine learning and AI were barely mentioned except in keynotes possibly because telemedicine is still largely a world of real-time visits, and extracting meaning from video is a lot harder than from records. We see promise, people want to do the right thing, but it’s not clear which direction will help us ride out the storm.

 

Still trying to figure out what this has to do with Telemedicine. Look better on realtime visits?

Posted in: Healthcare Disruption, Healthcare Legislation, Healthcare motivation, Healthcare Policy, Healthcare Technology, M-health, Prehabilitation, Rehabilitation Business, Telemedicine

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T2 Telehealth aka ATA 2017 aka ATA 23: Part 1, The Eye of the Hurricane

While there is a focus on transformation, value, and outcomes going on, if the keynotes are any indication it may be a rough road ahead for telemedicine.

“It’s the 23rd year for the American Telemedicine Association conference, why are we still talking about how to get paid?”, admonished Pamela Peele, PhD economist and Chief Analytics Officer of UPMC during the opening keynote of the annual conference of the American Telemedicine Association.

Pamela Peele at ATA2017

Pamela Peele at ATA2017

“Especially since, as this audience knows, telemedicine is the best thing since sliced bread?

Why indeed? Well, it’s complicated. The problem is that each person in the value chain, the payer, the physician, the healthcare organization, the patient, and the patient’s closest adult daughter (aka primary caregiver), only see the value of one slice of that loaf of bread, and we collectively as purveyors of telemedicine have to sell the entire loaf. There’s no clear solution to this problem. However, with unsustainable costs of healthcare, and increasing consumerization we have got to figure it out. The taxpayer is bearing the brunt of the costs right now, and Peele characterized the shift of baby boomers to skilled nursing facilities as a hurricane we are unprepared for. One way out is to keep people at home, and for that we need Medicare to fund a cross-state multi-facility study to determine efficacy, value, and best practices. Fragmentation of trials is keeping us from wide scale adoption.

The Adaptation Curve

The Adaptation Curve

“We have got to figure it out” was also the theme of best-selling author and New York Times columnist Tom Friedman’s keynote promoting his new book “Thank-You For Being Late.” Friedman claimed to be more right than the rightest Republican and suggested abolishing corporate taxes and at the same time more left than the leftist Bernie Sander’s supporter suggesting we need an adaptable safety net. His major thesis is that we are undergoing 3 climate changes right now: globalization, climate, and technological. To survive and thrive in this new world, we need to adapt and evolve, and take our cues from Mother Nature, not from some sort of top-down regulation. Like Peele on the previous day, Friedman also sees a hurricane coming and suggests that the only way to survive is to find the eye of the storm not by building a wall.

Adapting and evolving will come in handy with the harder times for healthcare investment ahead predicted by the venture investing panel in the day 3 keynote. Tom Rodgers of McKesson Ventures, and Rob Coppedge of the newly formed Echo Health Ventures pulled no punches, as they tossed of tweet worthy statements like “Don’t tell me you’re the SnapChat of healthcare” and “it seems like there are only 3 business models for telemedicine.” The later was Coppedge’s comment on walking the tradeshow floor. (The models are direct to consumer, platform, and as a combined technology and service.) Rodgers had no love for direct to consumer models or anything that targeted millennials who he deemed low and inconsistent users of services. Platform vendors were advised to surround themselves with services: video was seen as a commodity.

So where does that leave us? Value, value, value. The challenge is that the value is different depending on the intervention, the patient, the payer, and the provider. Preventing readmissions, aging at home, decreasing travel costs, all provide benefits to one or more of the key stake holders. Can we figure out how to reimburse based on slices of value? How do we get together to realize that value? And how do we do it before the hurricane hits?

Posted in: Behavior Change, Healthcare Disruption, Healthcare Policy, Healthcare Research, Healthcare transformation, Telemedicine

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Telehealth 2.0: Our picks for Orlando

File-2016-3478-2017_ATATradeshow_1920_25I am really looking forward to heading to Orlando for the American Telemedicine Conference, aka Telehealth 2.0. Seattle has been under a rain cloud this entire year, and I want to see the sun. I’m also looking forward to sharing our findings in using asynchronous mobile telehealth for remote rehabilitation with patients recovering from total joint replacement. I’ll be speaking with our colleagues from Hartford Health, Reflexion, and Miami Children’s Hospital on Sunday during the first breakout sessions. Hope to see you there!

In addition to the topics about legislation and regulations, it’s great to see these sessions on value, quality, and new treatment models. Here are some of Wellpepper’s picks for the conference.

Sunday

Monday

Tuesday

Now with all this great content, networking and a talk to prepare, when will I see the sun?

Posted in: Adherence, Behavior Change, Health Regulations, Healthcare Disruption, Healthcare Legislation, Healthcare Policy, Healthcare Research, Healthcare Technology, patient engagement, Telemedicine

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Let’s Talk About Poop

The ups and downs of the first two keynotes at the 2016 Mayo Transform Conference were mirrored in the session The Challenges of Change which highlighted the story of Cologuard. Cologuard is a joint venture between Mayo Clinic and Exact Sciences whose sole goal for the venture was to create a less invasive way for early detection of colon cancer. They succeeded in this goal and were also the first product to receive FDA clearance and CMS reimbursement on the first day. Cologuard launched to much fanfare on national news.

Did they knock it out of the park? Yes. Are they wildly successful today? No. Why? Keep reading and I’ll tell you.

First let’s start with the problem. Colonoscopies, while effective, are not favored by most people. The preparation is extremely uncomfortable, they require general or partial anesthesia, and people need to take time off work. In addition, in some remote communities, it is difficult to get access to care from specialists. As a result, people put off or skip getting colonoscopies and by the time cancer is detected it is often too late. A clinical challenge with colonoscopies is that they are good at detecting left-side tumors but not right side tumors, the incidence of which has been increasing since the 1980s.

CologuardCologuard solves all of these problems. The test is designed to be used at home and is basically a nicely-packaged stool collection kit combined with specialized testing at Cologuard’s lab. No time, and no procedure required for an individual. As well, Cologuard is more effective than colonoscopy at detecting right side tumors, and comparably effective at left-side tumors. Since it’s a home collection, and all tests are processed at Cologuard, access to care is not an issue either and it’s widely used in the Alaska Native Tribal Health Consortium, which was presented as a success story.

Sounds great, yes? Everyone (aka people who at some point will need a colonoscopy or have already had one) I talked to about it thought so. So what’s the problem? As usual, what’s preventing this innovation is an issue of reimbursement. Colonoscopies are a profit center for healthcare organizations, and they are effective, so this isn’t necessarily a case of a better technology losing. It’s the case of a more patient-friendly technology losing, except in Alaska where there really isn’t a viable option for delivering colonoscopies. As well in violation of CMS, some payers are refusing to cover Cologuard.

Cologuard CEO Kevin Conroy was evasive when asked about pricing, which is more expensive than other screenings but pales in comparison to the coimg_0060sts of a procedure that requires booking an operating room and an anesthesiologist.

Let’s hope that a shift to value-based care changes this. From a patient’s perspective it can’t come soon enough.

PS Apparently a lot of single Cologuard kits are being ordered by cardiologists and other specialists. Conroy thinks they’ve recognized the value and are using the kits on themselves. Harrumph.

Posted in: Clinical Research, Health Regulations, Healthcare Disruption, Healthcare Legislation, Outcomes, Patient Advocacy, patient engagement, Patient Satisfaction

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