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Pear's lofty financial projections, Google opens LLM to health care, & ONC's new privacy rules

April 13, 2023
Health Tech Correspondent
Good morning! It's me, Mario, and I'm back as your Thursday host for STAT Health Tech. For those of you who joined us since I took some time away — nice to meet you! Today, we've got a deeper look from me on Pear Therapeutics' bankruptcy. Plus details on Google's plan to release a version of its generative AI model for health care customers. Know something I should know? mario.aguilar@statnews.com 
Digital therapeutics
Pear dreamt of huge revenues and never got close

Screen Shot 2023-04-12 at 8.19.22 PM

When Pear Therapeutics filed for bankruptcy last week, I was reminded of the slide above from the investor presentation the company gave after announcing it intended to go public via a SPAC merger in 2021. In retrospect, that $125 million revenue projection on the right seems awfully aggressive.

But 2021 was a very different time in digital health. Companies were raising huge rounds and investors afraid of missing out would give money to anything that would absorb it. For Pear specifically, there was a real feeling that the momentum behind health technology created by the pandemic would speed up its path to reliable insurance coverage. Though the company made progress on its business, the "commercial scale" described in the slide above never materialized. Critics say that the company underestimated just how hard it would be to create a business behind its prescription apps.

With boom times venture investment gone, Pear fell on its face trying to raise more money to keep going. Now its FDA-cleared apps and the rest of its assets will be sold to the highest bidder. Read my whole story on Pear's demise here.

Artificial Intelligence

Google will let health systems test its generative AI tool 

Google is releasing a version of its generative language model to health care customers who will begin testing its ability to perform specific tasks in medical settings, STAT has learned. The tool, known as Med-Palm 2, will be distributed to a select group of Google's cloud computing customers over the next several months, with the goal of testing whether it can accurately and safely sift through and summarize vast stores of patient data. 

The move will intensify Google's rivalry with GPT-4, the model built by OpenAI that has triggered a flood of speculation about how generative AI tools might change medicine. Yesterday, Microsoft — a major investor in OpenAI — unveiled plans to embed generative AI tools into its own health care computing services. It also underscores the need for researchers to study not just the potential of the tools, but the problems they might create. 

 "We need lots of people kicking the tires on these models to understand when they're safe to use, when they work well and when they don't work well," Harvard's Andrew Beam told STAT's Casey Ross. Read more here.


Devices

Pacemakers without wires may work in kids

The vast majority of medical devices are not tested in children. This includes pacemakers, which traditionally have wires connecting it to the heart. These wires do not mesh well with a small person that's scrambling up trees or hanging from monkey bars. Even routine growth can make the device more likely to fail. But pacemakers are the most reliable treatment for children who have irregular, slow heart rates.

Researchers at the Children's Hospital of Philadelphia and several other institutions suspected that wireless pacemakers, which are implanted directly in the heart via catheter, might fare better in children's bodies than the more traditional, wired devices. On Tuesday, they released the results in Circulation: Arrhythmia and Electrophysiology, a journal from the American Heart Association. They found that wireless pacemakers may work in children just as well as they do in adults, at least in the short term. But until device makers create catheters that fit children's veins, they can't be widely used.

"Everything's easier in a bigger person," said Anne Dubin, head of the pediatric cardiology division at Stanford Medicine Children's Health. "Once you get to smaller, more fragile blood vessels and tissues, your risks go up." Read more here.



Big data

Oracle turns to AI to study drug safety 

When Oracle acquired Cerner last year, one of its goals was to use data tech and AI to mine Cerner's patient data for clinical outcomes. Through its partnerships with health systems, Cerner has a dataset of 100 million de-identified patient records. Its data research arm Cerner Enviza is leveraging that information along with claims data to run a new study with John Snow Labs for the FDA's Sentinel Initiative drug safety program. The partnership will use AI models made by John Snow Labs to examine the relationship between the asthma drug montelukast and dozens of behavioral and mental health side effects that spurred the FDA to issue a boxed warning for the medicine. STAT's Brittany Trang has more on the project here, including the hurdles the AI will have to surmount.


Regulation
OCR takes on post-Roe privacy and more D.C. news

The federal government's HIPAA enforcer — the Office of Civil Rights — is taking steps to strengthen doctor-patient confidentiality surrounding reproduction following the overturning of Roe v. Wade. In a new proposal, the agency said it would ban using or disclosing protected health information to "investigate, or prosecute patients, providers" and anyone else involved in "legal reproductive care, including abortion care."

The proposal would protect data related to prenatal care, abortion, miscarriages, infertility, contraception, and treatment of conditions such as ovarian cancer. OCR drafted the proposal after hearing from patients and providers fearful that sensitive medical data could be used against them, the agency said.  

Elsewhere in Washington, the federal government's health IT office proposed a new rule related to the 21st Century Cures Act, a sweeping law ushering in common standards for health data to ease records sharing.

Among new measures: Following through on a Cures Act requirement for a database comparing different health record software by requiring certified health IT developers to regularly report on their products. The public comment period opens next week.


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What we're reading

  • Approaches to investigating mental health disorders, Nature
  • Availity picks up Olive AI's payer-facing business as automation startup shifts focus to RCM solutions, Fierce Healthcare
  • Former Outcome Health execs found guilty on most fraud charges, Chicago Tribune

Thanks for reading! More on Tuesday - Mario

Mario Aguilar covers how technology is transforming health care. He is based in New York.


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