Should founders be worried?

“The trouble with healthcare is we've made it impossible for someone to find value in transacting their data in exchange for something truly remarkable,” Amino’s David Vivero argues in the first episode of our brand spanking new Rock Health podcast. Understand how to best harness patient data in order to serve patients themselves with Vivero and Evidation CEO Deb Kilpatrick as they debunk data myths stymying progress.

What else slows progress? Last week we advised tuning into HHS nominee hearings and the GOP retreat for updates on an ACA repeal/replace. FYI—there wasn’t much movement. Should founders be worried? Our Managing Director Bill Evans explains, “In moments of regulatory uncertainty, progress slows or comes to a halt. I'm far less concerned about the replacement of the ACA when it comes to startups than I am about the introduction of uncertainty during a potentially long process.”

Headlines

Startups Persevere—With Or Without Obamacare
Tweet | CNBC

Blame Technology, Not Longer Life Spans, For Health Spending Increases
Tweet | The New York Times

FTC: Breathometer Must Offer Full Refunds For Inaccurate Smartphone Breathalyzer
Tweet | MobiHealthNews

AI Can Distinguish Skin Lesions As Accurately As Dermatologists
Tweet | Wired

Health IT Stakeholders Seek Tech Reforms Beyond Obamacare Repeal
Tweet | Health Data Management

Hospitals Worry Repeal Of Obamacare Would Jeopardize Innovations In Care
Tweet | NPR

Common Sensing, Welkin Partner To Develop Innovative Insulin Adherence Program
Tweet | HIT Consultant

Love podcasts? Lucky you—in addition to new content, you can now get tons of insider content from the Rock Health archives in your favorite format.

Funding

  • Alphabet's Verily got $800M from a Singapore investor
  • Investment firm Venrock just raised $450M for their eighth fund
  • Cloud-based oncology startup Flatiron Health raised $175M and inked a deal with Roche
  • Madison, WI-based Redox closed $9M to help developers glean insights from EHRs
  • UW spinout and machine learning platform KenSci raised $8.5M to predict who will get sick