Healthcare a Seedbed for Analytics Research
This article appears in the September 2012 issue of HealthLeaders magazine.
The healthcare industry, which has long trailed other industries in its use of analytics, is developing into a seedbed for research on advanced analytics, including topics such as natural language processing, artificial intelligence, and genomics.
How Mobile Technologies Fuel TeleHealth Advances
The sheer power of smaller, cheaper, and faster healthcare is evident in today's mobile health solutions. Providers are already seeing mHealth as a way to curb hospital admissions among high-cost patients. >>>
The healthcare analytics world last year took particular note of IBM's Watson project, a supercomputer able to answer questions posed in natural language that defeated human competitors on the TV quiz show Jeopardy! IBM then announced it was working with Columbia University and others to commercialize Watson for clinical analytics and decision support.
At HCA, Jonathan Perlin, MD, chief medical officer and president of the clinical and physician services group, says, "We're doing some advanced work in terms of looking at how we might use natural language processing to detect subtleties in data and, in the future, even better support for precision medicine and personalized care."
In March, Memorial Sloan-Kettering Cancer Center announced its partnership on the Watson research. "We're still in the early work, very actively working on this project with IBM," says Patricia Skarulis, vice president of information systems and CIO. "All I can tell you is they are devoting a lot of resources and we are devoting a lot of resources. Database people, analytics people, our senior physicians. It's been a fun project."
- Nurse Ethics Comes to a Head at Guantanamo Bay
- In Lakeport, CA, a Population Health Laboratory is Born
- Providers' Push to Consolidate Roils Payers
- Transforming Decision Support and Reporting
- CMS Mulls Income-Adjusting MA Stars
- Insurers' listings of in-network doctors often out of date
- How to navigate big data in healthcare
- Opinion: What healthcare can learn from CHS data breach
- As Retail Clinics Surge, Quality Metrics MIA
- Costs of responding to Ebola adding up