Connected health infrastructure is emerging as a binding agent for diverse devices and workflows, aiding diagnosis, monitoring and prevention in the healthcare industry. For such an infrastructure to be efficient, stakeholders must first ensure that interoperability and connectivity standards are in place.
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The Health Datapalooza conference was in Washington DC this week. The conference focuses on liberating health data, and bringing together the companies, startups, academics, government…
By William Hersh MD – One of the aspects of medicine that struck me as a medical student was its imprecision. I was surprised, sometimes shocked, at decisions that were made based on vague symptoms reported by patients, ambiguous findings detected on physical examination, and even variation in “hard” measurements such as laboratory results.
Health Datapalooza Day 1 and 2 focusing focusses on liberating health data, and bringing together the companies, startups, academics, government agencies, and individuals with the newest and most innovative and effective uses of health data to improve patient outcomes.
By John Halamka MD – Every technology has an adoption journey. The classic Gartner hype curve travels from a Technology Trigger to the Peak of Inflated Expectations followed by the Trough of Disillusionment. It often takes years before organizations reach the Slope of Enlightenment and finally achieve a Plateau of Productivity.
By Sarianne Gruber – HITEC studied the association between the usage of an HIE system post-discharge and 30-day same cause hospital readmissions among patients in Rochester, NY.
By William Hersh MD – Being concerned with representation of information and knowledge, researchers in informatics sometimes express concern with the concept of “semantic drift,” where the meaning of words and concepts changes over time.
Health Catalyst is hosting the summit on September 8-10 in Salt Lake City, UT at The Grand America Hotel. Early registration special ends May 31st.
By John Smithwick – Lately, there’s been a lot of noise around the use of big data in health care. As the name implies, big data looks for patterns and trends in extremely large sets of information. And it’s big business.