So, I just got back from Wisconsin, hob-nobbing with over 15,000 people at Epic’s UGM 2016 (national user group meeting). We sent a half-dozen folks to present talks on such topics as our Physician Builder governance program where our physician informaticians are trained and given the keys to build sophisticated charting, ordering and reporting tools directly into Epic; our Smart-pump integration to deliver safer IV medications to patients; and this, my participation on the Slicer-Dicer discussion panel.
Slicer is an Epic tool for the average Epic physician user to “surf” the de-identified patient data in a simple self-explanatory way in order to see patterns in the data (in our case, applying to over 5 million unique patients). The tool can make it easier to look for quality improvement opportunities (what percent of my coronary artery disease patients are taking the recommended aspirin dose?), for teaching opportunities (does an increasing BMI correspond to an increasing rate of being diagnosed with diabetes?), for process improvement (which clinics have the highest patient-adoption of our online patient-portal for communication?), and even pre-research, hypothesis generating questions (which blood pressure medications are associated with the highest rate of patients with blood pressures below 140 systolic?). The tool shows bar graphs of de-identified data that can point out surprising trends and lead to more sophisticated projects downstream.
Of course, in case the audience of 250+ wasn’t adequately entertained with our expert panel’s recommendations (Stanford Childrens, Novant, and ourselves at UCHealth), I volunteered to play my uke to illustrate the finer points of our academic arguments…
Forgive the off-key singing and enjoy!
