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Medical devices, generative AI and regulation Read in browser
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Thursday, 20 August 2026
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The FDA has been quietly selecting participants for its TEMPO pilot. A third, the behavioral health company Limbic, was just added to the pilot’s webpage, following remote monitoring company Cadence and Dexcom, the maker of continuous glucose monitors for diabetes.
TEMPO (Technology-Enabled Meaningful Patient Outcomes) is a program that allows digital health companies to distribute devices to seniors with chronic diseases through the CMS ACCESS program — without needing FDA authorization. In exchange for waiving those authorization requirements, the device makers are supposed to collect and report data on how the device is performing in the real world. But the FDA will have no idea if these devices will work as intended until the data come in.
The point of the pilot is to encourage innovation and get promising tools to patients faster. But is leaving evidence for later the smartest choice?
It’s an approach the FDA seems to be taking in other areas as well. This week, the FDA’s Center for Devices and Radiological Health released a discussion paper on regulating generative AI-enabled medical devices. Notably, because evaluating AI devices is challenging, it’s considering whether to “accept greater premarket uncertainty regarding a GenAI-enabled device’s benefit-risk profile through greater reliance on postmarket monitoring.”
Historically, regulators haven’t reviewed many health tech tools that the agency considers low-risk “wellness” tools (and what’s considered “low risk” is often in debate). The FDA now seems to be acknowledging that the evolving world of digital health tools needs more oversight. But the new frameworks kick the data collection and evaluation down the road, rather than asking for it up front. Unlike pharmaceutical drugs that go through rigorous clinical trials before landing on pharmacy shelves, this approach is one that relies heavily on what happens after products are already in patients’ hands. 
It’s completely possible that this strategy unleashes total duds into the market, wasting taxpayer money and potentially putting patients at risk. On the flip side, postmarket monitoring may be better than nothing.
- Shelby and Nicole Wetsman
Here’s what’s new
Epic's AI push overlaps with health tech startups
VERONA, WI — Epic showed off its con­tin­ued ex­pan­sion of AI for clin­i­cians and pa­tients at its an­nu­al Users Group Meet­ing on Tues­day, putting pres­sure on star­tups across the health tech in­dus­try.
The most interesting takeaway from Anthropic’s design study has nothing to do with proteins
An­throp­ic’s AI sys­tem Claude over­saw a re­search cam­paign that de­signed and gen­er­at­ed minipro­teins from scratch, the AI lab said in a Tues­day blog post.

The research results are not a leap for the protein design field, though. 
Epic’s state fair
An image of Epic CEO Judy Faulkner speaking onstage at the company's annual meeting.

Epic founder and CEO Judy Faulkner takes the stage at this year’s fairground-themed UGM, after kicking off the keynote by bringing a cow on stage. Attendees were also treated to a skit that alternated between a Ferris wheel and a doctor’s office, as well as a carousel to ride.

This week in health Тech
Medicare Advantage insurer SCAN Health Plan is working with Costco to sell insurance. Together, the two will sell health plans to people 65 and older, marking the first time Costco has worked with a Medicare plan, SCAN noted in its news release.
Sweden-based full body scan company Neko Health shared its plans to open its first US office in New York’s SoHo neighborhood next month. CEO Hjalmar Nilsonne said on LinkedIn that the company is building more locations in Miami, Washington, DC, and San Francisco.
Insurance broker and consultant Alliant Insurance Services bought benefits brokerage Nava Benefits. Nava in 2025 raised $30 million in a Series C round led by Thrive Capital.

Revenue cycle management company R1 is buying prior authorization automation startup Humata. The goal is to get closer to authorizations happening in real time between insurers and providers. 

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