Category: Medical Devices

Recon takes an analytical look behind select developments in healthcare

AI in healthcare III: COVID-19 applications and implications

COVID-19 has accelerated the adoption of AI in healthcare. AI based tools and solutions can work quickly, be deployed at scale, and respond to the dynamic nature of the crisis. Use-cases span all facets of responding to the pandemic, from diagnosis and triage, to treatment and combating new transmission. A wide range of players—including startups, established companies, universities, and more—are bringing their capabilities and perspectives to the table. Startups like Current Health, a UK-based remote-monitoring company supporting Mayo Clinic and Baptist Health with their COVID-19 response, are benefitting the industry’s

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Strategy in the Time of Covid

Preamble A recent post from Recon Strategy outlined the longer-term strategic implications of Covid-19 on 12 healthcare sectors. This post highlights the opportunity to redeploy corporate strategy assets to focus on the most important short-term strategy imperatives to not only ensure organizational resilience but to set up for success coming out of this crisis. Corporate strategy teams have tremendous analytical, creative, and operationally savvy resources that are accustomed to jumping into new situations, getting quickly up-to-speed, and delivering value. Leaders should proactively point these resources towards these areas of greatest

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The day after: Implications for hospitals, payers, biotech and more…

Even as our priority today is dealing with the Covid crisis, healthcare organizations would do well to start thinking about the longer-term implications for their strategies. In some instances the marketplace will revert to the prior dynamic, but in many others the changes wrought during this crisis are likely to persist in a way that will call for new strategy or will produce unpredictable outcomes that will require scenario planning. Sectors will be impacted in very different ways and there will be winners and losers in each. In this short

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New class of therapeutics calls for new regulations: thoughts on the FDA’s new process for regulating digiceuticals

Interest and investment in digital health has increased rapidly in recent years.  Some digital health software is impactful enough that it requires FDA approval, but current regulatory pathways are slow and cumbersome for tech companies.  In July 2017 the FDA announced a beta-test of a new pathway, the pre-certification program, which is intended to increase innovation and minimize barriers to market entry for digital health software.  While early signs show the program will have these intended consequences, it also may create an uneven playing field for incumbent players relative to

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Attacking an oligopoly by integrating downstream services: Can Livongo’s closed loop get traction vs. the big glucometer incumbents?

Summary Livongo is marrying a cellular-enabled glucometer and a data cloud with patient engagement services to help manage sugar levels Glucometer incumbents could match Livongo’s technology but will struggle to counter the business model innovation By expanding into services, however, Livongo is expanding its potential competitive set to include incumbent downstream care providers If Livongo’s model demonstrates compelling value, both device and services incumbents could find ways to stitch together competing solutions in collaborative ecosystems Closed loops are great ways to develop value propositions but can be rickety for trying

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The future of cancer care: A bird’s-eye view

The recent World Medical Innovation Forum on Cancer convened by Partners Healthcare in Boston was attended by leaders in oncology from around the world including top: clinicians, bench scientists, policy leaders, and executives from hospitals and life-science companies.  Two plus days of intense discussion and sharing of perspectives ably curated by Partners Innovation head Chris Coburn covered a range of topics from technology developments, to the healthcare system, and the patient/ doctor perspectives. The mind-map below is an attempt to organize the key themes that I heard through the conference and to try to convey why I came away

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When is a patient not a patient? More often than you think

I have been conducting an informal test for the past year and a half.  And while it has not been a full statistically-significant clinical trial with test and control groups, and “double blind” testing methods, the results have been striking… The way this test works is that when I meet someone new or reconnect with someone I have not seen in a long time, I ask them to describe themselves and then listen carefully to the answer.  Some clear patterns emerge: It’s most common for people, and particularly my American

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