Perspectives and Insights
As employers consider bringing their employees back to work, there is a critical need for guidance on COVID-19 testing. Companies are asking who should we test, when and how often should we test, what do we do with the results and, what kind of testing should we use?
MDisrupt One Year On – A Year of Learning and Transformation
The only constant in life is change. And nowhere is that more true than in your first year as a start-up.
As many of you know, MDisrupt was founded a year ago because we believed the healthtech world was lacking “medical diligence”. We believed this was the missing link in the market and the reason why so many healthtech startups were stumbling on the path to successfully commercializing their health products. We created MDisrupt to help others avoid becoming the next Theranos, or uBiome – and to help divert healthtech companies away from criticisms of attempting to dupe consumers, skipping a few steps on the road to evidence generation, or taking the wrong regulatory path.
Confronting the unimaginable: Covid-19, a surmountable challenge Each day as I get up and go to work, I have to prepare myself mentally in a way that I have never experienced in my 12 years as a UK Doctor. My colleagues and I witness daily, the gravity and devastation...
We’re facing unprecedented times as we gear up to confront the reality of COVID-19, both on the economy and within the healthcare system. As cases continue to rise, sorting through misinformation on the virus has become more vital than ever. Fortunately, the...
As a Pulmonary & Critical Care Physician who has a passion for finding digital technology solutions to our health care problems, as well as 5 years of experience helping healthtech companies in the SF Bay Area, I have evaluated many and led the adoption of several...
Good healthtech products are really hard to build. Every year healthtech attracts great technologists who have had personal experiences with the broken healthcare system. And yet, along with myriad silent disappearances, there are publicly reported flops in healthtech from scrappy start-ups and tech giants alike. What are some of the common pitfalls? And what can your company do to safeguard against them?
Understanding Medical Necessity: Guidance for Healthtech Companies to Address Medical Insurance Coverage Limitations
The central conundrum that new healthtech companies face: “Why should I pay for this if it isn’t covered by the insurance company?” In other words, If an employer’s medical insurance company doesn’t cover a diagnostic or therapeutic service, why should the employer consider buying it separately?
Jill Hagenkord talks about her transition from Healthcare to Healthtech and shares the lessons she learned in this podcast.
Over the past five years, since before we founded MDisrupt, we have worked with, advised, reviewed or consulted for over 100 healthtech companies. We were surprised to find that the mistakes these companies are making are shockingly consistent. Even more striking is that many of these mistakes are completely avoidable. Here are a selection of the most common things we have seen.
Medicine is shifting toward a more personalized, value-based experience. As this transformation continues, healthtech companies need to be able to communicate the value and clinical differentiation of their solutions more effectively. This will require incorporating healthcare experts, who are usually hired into medical affairs roles.
So, you have a new health technology that you’ve packaged into a hot product offering. You’re excited about your product. As you think about going to market, you practice reciting all the great things about your offering. This product’s going to take the world by storm! Your largest potential market: self-insured employers.
We wouldn’t make drugs without chemists. So why make digital health products without behavioral scientists?
The Importance of Behavioral Science When Building a Health Product. Humans are complicated, and changing our behavior is hard. 1, 2 Despite all the hype about artificial intelligence and personalization, most consumer-facing behavior change tools are incredibly unsophisticated, relying on basic self-tracking and superficially-tailored feedback to change behavior.