AI & Data Analytics

Why telehealth could help the CDC and other healthcare stakeholders decimate the disease.

Researchers sought to find synonymous terms in patient records generated by physicians and nurses. Instead, they came across a glaring gap.

Hint: The finding relied on medical information from more than 46,000 Geisinger patients.

Believe it or not, healthcare data professionals can learn a lot from the IKEA horse meatball incident.

How the statewide HIE is slated to improve data aggregation, interoperability, and care.

What might this means of data generation teach medicine about drugs?

It wants the communities it serves to be 20% healthier by 2020.

At the Population Health Colloquium, the Dean of Jefferson College of Population Health had 11 trends to watch...and 1 big brag.

Unintentional bias and data privacy often steer the conversation. Profiteering, intentional bias, and the possibility of machine dependence don’t.

At HIMSS 2018, we spoke with venture capitalist Anya Scheiss and healthtech startup exec David Levin, MD, whose company Scheiss helped get off the ground.

Augmented reality could become a valuable teaching tool for the next generation of surgeons.

How the machine learning algorithm came to match the capabilities of ophthalmologists and retinal specialists.

Cota and Hackensack Meridian Health’s path toward bundled payments holds lessons for others.

Why the combination proved effective in a study, allowing pre-hospital interventions.

Three experts discuss medicine’s natural impediments to AI during HIMSS 2018.

At SXSW, an expert describes what healthcare leaders must understand about the algorithms.

Why a cofounder of the genetic testing company said its ambitions were too lofty.

Cota's co-founder and Chief Scientific Officer would know: His company just got that amount in Series C.

Using Watson to improve clinical trial improvement can extend patients' lives, Mayo Clinic's Kate Pomerleau says.

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.

Nobody knows for certain where blockchain will (or won’t) deliver in healthcare. One health IT veteran makes the case for quality measurement.

An up-and-comer in healthcare AI describes how he gauges his peers’ potential.

The company’s track record and finances suggest it could deliver, but there’s a paucity of additional evidence.

A tech executive for Mercy Health System explains what he looks for in data scientists—and his hires have helped the organization in several ways.

Oncology start-ups leverage data to develop predictive analytics and personalized treatments. Can therapy do the same?