Ups and downs in digital health in 2016

Cara Livernois | | Health Exec | Precision Medicine

Digital health providers could look back on 2016 and learn a few things to help reach a future they have always pictured.

In Forbes,  John Nosta outlines the good and the bad experiences of 2016 as well as what the industry can learn from certain failures. Covering innovation, science and data, the piece uses feedback from industry experts to guide others toward a positive path in 2017.

Read the full article by clicking below:

Digital Health And The Sting Of 2016

""
Cara Livernois, News Writer

Cara joined TriMed Media in 2016 and is currently a Senior Writer for Clinical Innovation & Technology. Originating from Detroit, Michigan, she holds a Bachelors in Health Communications from Grand Valley State University.

Related Content

Pitching the business case for 3D printing labs in radiology
FDA issues first-ever clearance for OTC oximeter
Augmented reality company secures $15M in funding from Cleveland Clinic, Mayo, GE Healthcare and more
Merck to acquire Prometheus Biosciences for $10.8B
Johnson & Johnson scraps RSV vaccine after trial
Intermountain Health launches new biotech company

Around the web

Radiology Business
ACR shares guidance to help members deal with confusing White House executive orders

A string of executive orders from the White House created serious concerns among radiologists and other healthcare providers throughout the United States. The American College of Radiology issued a statement to help guide its members through the chaos. 

Cardiovascular Business
Philips to sell its emergency care business to private equity firm

Bridgefield Capital, founded in 2015, has previously invested in such popular brands as Cirque Du Soleil, Del Monte and Quiksilver. This transaction is expected to be completed in the second half of 2025. 

AI in Healthcare
Nat’l Academy of Medicine sets ‘priorities for action’ as healthcare mulls next moves with AI

Given the precarious excitement of the moment—or is it exciting precarity?—policymakers and healthcare leaders must set directives guiding not only what to do with AI but also when to do it.