[ I ] Intermountain Healthcare.
[ J ] John Muir Health.
[ M ] MD Anderson Cancer Center, MediSys Health Network, MedStar Health, Memorial Health, MemorialCare, Mercy Health, Mercy Health Services, Meridian Health, Methodist Le Bonheur Healthcare, Michigan Medicine, Mount Sinai Health System.
[ S ] Saint Thomas Health, San Juan Regional Medical Center, Sanford Health, Scripps Health, Sharp HealthCare, Sinai Health System, Singing River Health System, Southcoast Health System, Spectrum Health, SSM Health, St. Joseph Health, Steward Health Care, Stony Brook Medicine, Summit Health, Summit Healthcare Regional Medical Center, Sutter Health.
[ U ] UC San Diego Health, UCLA Health, UMass Memorial Health Care, Universal Health Services, University Health, University Health System, University Hospital, University of Missouri Health Care, University of New Mexico Health Sciences Center, UVA Health System.
Rationale: A flood of news is being generated on the U.S. healthcare system, coming from dozens of established news sources and hundreds of blogs. Thousands of stories appear each day, making it difficult to get a real sense of what is happening in a particular focus area, let alone identify quality content for review.
Health systems, payers, capital firms and other stakeholders have critical questions such as: (1) what is happening within a particular healthcare topic? (2) what new players are in this space? and (3) what deals, installations and partnerships have occurred?
The goal of this tool is to provide assistance to research efforts within the healthcare IT field, reducing analysis load while providing a simple method to follow an emerging healthcare topic or player.
Methodology: News items are selected via a search algorithm and then scored across several factors, including the perceived quality of the source. Depending on the frequency of news for a particular topic, its news summary may represent a few days, or a few months activity. Links to other entities are determined through manual review as well as via algorithm.
Although some direct testing occurs, note that with the incoming volume of data (5,000 news items per day) it would be infeasible to sample each record, and the odd categorization error is likely. Finally, your comments are welcome.