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Month: November 2019

The Health Data Goldilocks Dilemma | Vince Kuraitis & Deven McGraw

By JESSICA DaMASSA, WTF HEALTH

Which is better: sharing access to all health data across platforms so that interoperability is achieved, or protecting some data for the sake of privacy? Health data privacy experts Vince Kuraitis, founder of Better Health Technologies, and Deven McGraw, Chief Regulatory Officer at Ciitzen, are crowdsourcing opinions and insights on what they are calling The Health Data Goldilocks Dilemma. How much data protection is ‘juuuust right’? What should be regulated? And, by whom? The duo talks through their views on the data protection conversation and urge others to join in the conversation via their blog series called, “The Health Data Goldilocks Dilemma,” on The Health Care Blog.

Filmed at the HIMSS Health 2.0 Conference in Santa Clara, CA in September 2019.

Prehab Tool and AI Win Big at the 2019 RWJF Live Pitch

SPONSORED POST

By CATALYST @ HEALTH 2.0

Six finalists competed in an exciting live pitch for the Robert Wood Johnson Foundation’s 2019 Innovation Challenges at the 2019 Health 2.0 Annual Conference. They demoed their technologies in front of an audience of health care professionals, investors, provider organizations, and members of the media. The Home and Community Based Care Challenge sought technologies that support the advancement of at-home or community based care. The Social Determinants of Health Innovation Challenge called for solutions that increase access to services related to social determinants of health.

During the 3-day Conference, Jessica DaMassa, Executive Producer & Host of @WTF_Health, spoke with the finalists about their experience competing in the RWJF Innovation Challenges, their personal highlights, and what’s next!

Home and Community Based Care Innovation Challenge Finalists

First Place:

Ooney’s home-based web-app for older adults, Prehab Pal, delivers individualized prehabilitation to accelerate postoperative functional recovery and return to independence after surgery.

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The FDA has approved AI-based PET/MRI “denoising”. How safe is this technology?

By LUKE OAKDEN-RAYNER, MD

Super-resolution* promises to be one of the most impactful medical imaging AI technologies, but only if it is safe.

Last week we saw the FDA approve the first MRI super-resolution product, from the same company that received approval for a similar PET product last year. This news seems as good a reason as any to talk about the safety concerns myself and many other people have with these systems.

Disclaimer: the majority of this piece is about medical super-resolution in general, and not about the SubtleMR system itself. That specific system is addressed directly near the end.

Zoom, enhance

Super-resolution is, quite literally, the “zoom and enhance” CSI meme in the gif at the top of this piece. You give the computer a low quality image and it turns it into a high resolution one. Pretty cool stuff, especially because it actually kind of works.

In medical imaging though, it’s better than cool. You ever wonder why an MRI costs so much and can have long wait times? Well, it is because you can only do one scan every 20-30 minutes (with some scans taking an hour or more). The capital and running costs are only spread across one to two dozen patients per day.

So what if you could get an MRI of the same quality in 5 minutes? Maybe two to five times more scans (the “getting patient ready for the scan” time becomes the bottleneck), meaning less cost and more throughput.

This is the dream of medical super-resolution.

Continue reading…
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