First, Do k no w harm! Nikhil Bagewadi Satyajit Deshmukh Ameya Nerurkar

1. First, Doknowharm! Nikhil Bagewadi Satyajit Deshmukh Ameya Nerurkar nikhil.bagewadi@gatech.edu sdeshmukh3@gatech.edu anerurkar3@gatech.edu PROBLEMS Overwhelming volume of medical history and contextual data collected at each of the care transitions. Difficult to isolate & represent relevant and critical data at the right time. Medical errors not caught at the right level and when most critical. Medical Terminal systems today are not user-friendly GOALS Help Health Care providers to effectively identify potential medical errors by analysis of context data. Efficient and succinct User Interface to summarize the patient history data at discharge. Build a Text Analysis and Relevance Search Engine to a) Parsing through large portions of data and b) Isolate & represent relevant text. Special Thanks to: Dr. Jeremy Ackerman Dr. Ellen Do Dr. Craig Zimring Mr. David Cowan Dr. Ruth Lamm OTHER APPLICATIONS Teaching Hospitals. Summarizing patient ICU records. Let’s administer Fluconazole (anti-fungal) • Major depressive disorder treated with Nortryptilene • Family history of sudden cardiac death How did I miss that? • Patient presents with symptoms of Pneumonia • Some agitation (treated with Haloperidol) • Presence of Oral thrush • EKG shows QT prolongation • Potassium (K) trending down • Doctor consults the “First, Do No Harm” system. • He inputs his action of administering Fluconazole • The System analyses the patients contextand outputs its warnings. User Interface Snapshots FDNH Relevancy Graph Hypomagnesia Hypokalemia Patient Data Warnings & Alerts Excerpts from Patient data & Relevant Documents Hypoxia Torsades Female Anti-Depressants Acidosis Heart failure Familial long QT syndrome Our Intelligent Algorithm