Dana Edelson, MD, MS

#sepsis prediction models are inherently flawed. Read key takeaways from our recent @SepsisAlliance webinar exploring how to identify patients at risk of sepsis with the fewest false alarms. agilemd.com/post/sepsis-al…

From @JAMANetworkOpen: eCART outperformed the other #AI and non-AI early warning scores, identifying more deteriorating patients with fewer false alarms and sufficient time to intervene. ja.ma/4hk2mFK

Does an AI/ML model provide more accurate warning of clinical deterioration than older models (logistic regression or point-based) among >360,000 hospitalized patients in 7 hospitals? Yes. eCART (@AgileMD) performed best; EPIC (EDI) was one of the worst. jamanetwork.com/journals/jaman… by @dpedelson and colleagues Editorial jamanetwork.com/journals/jaman… by @AmolAVerma

@NYUDocs @MarkPochapin @DrHLofton @KHochmanMD @UChicagoMed So much fun. Thanks for the invite, @MarkPochapin, @DrHLofton and @KHochmanMD!

How can AI predict complications in hospitalized patients? Medical Grand Rounds is LIVE. @MarkPochapin, @DrHLofton & @KHochmanMD are talking with @dpedelson @UChicagoMed Call us at 877-698-3627. sxm.app.link/DoctorRadio

We are proud to announce that eCART has received #FDA clearance to support frontline teams in identifying the highest-risk hospitalized patients. We are grateful for the opportunity and excited to make an even bigger impact moving forward! Learn more here: agilemd.com/updates/ecart-…

@jayedelson Lessons not always learned in one's teens.

@jayedelson In my defense, I was 19. And you threw me off when you buried baby Dino. I guess I should have asked for a broader waiver.

Last trolley of the night. #iSRRS2017

@CAM_Bio Honored to be in such great company

Join us for the 13th Int'l Conference on Rapid Response Systems and Medical Emergency Teams. Early bird ends 4/10. isrrs2017-sites.uchicago.edu

Register Today: 2017 Intl Conference on Rapid Response Systems and Med Emergency Teams; May11-12 #Chicago bit.ly/2mVrwD1