Health Tech Must Keep Pace With the Science That Drives It
The industry is pulled between red-hot hype and lukewarm implementation. Are we ready to bridge the gap?
Jennifer Sun, MD: Why Ophthalmology Needs Machine Learning
Burden of disease is growing, and ophthalmology's people power may not be able to keep up. Healthcare must turn to machine learning to fill the gap.
Why C-Suites Need to Get a Grip on Physician Burnout
No shiny object can distract from the fact that a happy workforce is every exec’s best asset.
Penetration Testing: If You Can't Beat the Hackers, Join Them
Cybercriminals are coming for your healthcare data. Here’s how you can fight fire with fire.
Health IT's Role in the Opioid Epidemic? Get the Right Data to Providers At the Right Time
40 people die every day as a result of overdose from prescription opioids. Here's how can the health IT community can help curb overdose and abuse.
Blockchain's Most Practical Healthcare Application Could Be In Quality Measurement
Nobody knows for certain where blockchain will (or won’t) deliver in healthcare. One health IT veteran makes the case for quality measurement.
Can Google's Cloud API Solve Healthcare's Disparate Data Problem?
The company’s track record and finances suggest it could deliver, but there’s a paucity of additional evidence.
Need Your Docs to Adopt New Tech? First, Find Out What Motivates Them
Hospitals want to improve patient outcomes and save cash. Docs want to avoid reporting systems that pry them from their patients. It’s not an impasse.
mHealth: Powered by Potential but Dogged by Dubious Studies
Are patients as enamored with mHealth as hospitals want them to be?
Telemedical Drones Are Increasing Access to Care in the Face of Natural Disasters
“It is just a matter of time before the drones become part of routine life.”
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