Mining EHR data to understand documentation burnout

Mining EHR data to understand documentation burnout

The Office of the National Coordinator for Health Information found that hospitals’ access and analysis of documentation data in electronic health records has increased over the past five years, but gaps in access and use remain for some hospitals.WHY IT MATTERSData from EHRs can track the time clinicians spend documenting and carrying out certain tasks. To measure physician burden on a national scale, ONC analyzed four waves of a nationally representative survey of U.S. non-federal acute care hospitals.
Published in January, in the special health IT issue of the American Journal of Managed Care, Trends in Electronic Health Record Capabilities for Tracking…

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Johns Hopkins AI models predict ICU delirium risk

Johns Hopkins AI models predict ICU delirium risk

Two dynamic analytics models developed at Johns Hopkins University predicted delirium-prone patients when tested on two datasets drawn from 100,000 stays at a Boston hospital’s intensive care unit, according to new research.WHY IT MATTERS
Delirium – sudden bouts of confusion, inattention, paranoia, agitation and hallucinations – can put patients at higher risk of prolonged hospitalization, future dementia and death. By forecasting delirium, alerted clinicians could apply countermeasures that can mitigate adverse outcomes, according to the premise of artificial intelligence research published in Anesthesiology. 
“For a lot of these physiological transitions, we think that there are early warning signs that may not be obvious…

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