By Nancy Hudecek – In recent years, our ability to stream large amounts of data in real-time has improved dramatically. This enhancement can transform how clinicians offer care by sourcing unprecedented opportunities for clinical decision support. However, the capability to process, store, and display data in and of itself does not transform care.
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By William Hersh, MD – Like many in academic informatics, my career has benefitted greatly from the support of National Library of Medicine (NLM), the institute of the National Institutes of Health (NIH) that has been devoted to, among other things, support for research and training in biomedical and health informatics.
Let’s start with a phenomenon known to statisticians called Simpson’s Paradox. In outcomes research, we are aggregating data from multiple sources (e.g., clinical, financial, workflow) and at the same time stratifying the data to achieve homogeneity. And there are times we get surprises.
By Dr. Patrick Conway – CMS released the 2015 National Impact Assessment of Quality Measures Report (2015 Impact Report). The 2015 Impact Report demonstrates that the nation has made clear progress in improving the healthcare delivery system to achieve the three aims of better care, smarter spending, and healthier people.
Reducing readmission is moving beyond the clinical metrics and starting to focus on health insurance coverage and patients’ health behaviors prior to hospitalization.
By Sarianne Gruber – With third party fee schedules diminishing, health providers face the pressure of an economy that is making it very difficult to collect fees and very important to identify charges for every legitimate service.
By Jared Crapo – I spend a lot of time talking to healthcare organizations about analytics and the practical uses of implementing an analytics adoption model. Oftentimes, though, these discussions turn to other related topics, such as data warehousing, dashboards, natural language processing, Hadoop, population health, meaningful use reporting, predictive modeling, and lots of stuff in between.
By William Hersh – As in all complex endeavors, the push for a healthcare system underpinned by structured and interoperable electronic health record (EHR) data has turned out to be more complicated than we might have anticipated when acceleration of EHR adoption was begun about a decade ago.
If you attended HIMSS last year you know predictive analytics was a hot topic. HIMSS15 in Chicago will be no different as the industry continues to address using data and analytics to spot patterns to improve patient care and outcomes.