Big data medicine is still largely unproven, but that's not stopping several medical centers and analytics vendors from jumping in with both feet.
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InterSystems likes to remind healthcare providers that even a large enterprise warehouse might not be enough to provide all the intelligence needed to improve quality care and generate significant savings. And the emergence of accountable care organizations and similar pay-for-performance models are making the need for such intelligence all the more urgent.
InterSystems offers its HealthShare healthcare informatics platform, with its embedded Active Analytics component, to address the issue. Like many other big data vendors, it collects, aggregates, normalizes and presents patient data from a variety of silos to help decision makers improve their clinical and financial outcomes.
Rhode Island is using HealthShare statewide to facilitate health information exchange, as well as aggregate and analyze patient data. This enables the state's medical practices to exchange clinical summaries to improve coordination of care, a major component of ACOs.
Gary Christensen, CIO of the Rhode Island Quality Institute, praised HealthShare in a testimonial on the InterSystems website, saying "... HealthShare gives RIQI the analytics needed to target cost savings and provide a level of quality of care that physicians can't get by looking at their own records." During a recent interview with InformationWeek Healthcare, Christensen said his team used InterSystems' analytics tools to determine that 8% to 12% of major lab tests done in more than a quarter of the population of Rhode Island were duplicative and medically unnecessary.
The nation of Sweden also has tapped into InterSystems' firepower, using HealthShare to create a national EHR system for 9 million people. The system is a browser-base display of patient demographics, medication lists, lab data, allergies and related information.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?