Medicine in the Age of Electronic Health Records
published: Oct. 7, 2014, recorded: August 2014, views: 3961
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
In the era of EHRs, it is possible to examine the outcomes of decisions made by doctors during clinical practice to identify patterns of care—generating evidence based on the collective practice of experts. We will discuss methods that use unstructured patient data to monitor for adverse drug events, profile specific drugs, identify off-label drug usage, uncover ‘natural experiments’ and generate practice-based evidence for difficult-to-test clinical hypotheses. We will describe how to detect associations among drugs and their adverse events several years before an alert is issued as well as compute the true rate of drug-drug interactions. We will present approaches to identify novel off-label uses of drugs using the patient feature matrix along with prior knowledge about drugs, diseases, and known usage. We will review a natural experiment—where a subset of CHF patients who were prescribed Cilostazol despite its black box warning—and profile its safety. We will discuss the testing of a clinical hypothesis about an association between allergic conditions and chronic uveitis in patients with juvenile idiopathic arthritis.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !