[ A ] Acadia Healthcare, Adventist Health, Adventist Health System, Advocate Health Care, Allegheny Health Network, Allina Health, Ardent Health Services, Ascension Health, Atrius Health, Aurora Health Care.
[ E ] Emory Healthcare.
[ F ] Fairview Health Services.
[ K ] Kaiser Permanente.
[ M ] McLaren Health Care, MedStar Health, Memorial Health, Memorial Hermann Health System, Memorial Sloan Kettering Cancer Center, MemorialCare, Mercy Health, Meridian Health, Methodist Le Bonheur Healthcare, Moffitt Cancer Center, Montefiore Health System, Mount Sinai Health System, MultiCare Health System.
[ W ] WellStar 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. The platform currently includes 300k+ selected news stories across 750+ healthcare terms and 1,500 solution partners, and continues to expand.
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 generated for a particular topic, its news summary may represent a few days, or a few months activity. Links to Healthcare Topics and Solution Partners 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.