Dr. Horng is on Doximity
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Office
330 Brookline Ave
W/Cc2
Boston, MA 02215Phone+1 617-754-2349Fax+1 917-210-3676
Summary
- Dr. Horng is dual board-certified in emergency medicine and clinical informatics with degrees in computer science and biomedical informatics. He specializes in translational clinical informatics and focuses his research on novel methods of artificial intelligence to improve the quality and efficiency of emergency care. Specifically, he works on applying state-of-the-art machine learning methods to implement automated information retrieval and targeted decision support at the bedside. He also oversees clinical decision support and computerized order entry as part of his operational responsibilities. The Division of Informatics is also a live clinical test-bed which fast tracks innovative technologies such as machine learning and Google Glass to bring them to the bedside for clinical use.
Education & Training
- Beth Israel Deaconess Medical CenterFellowship, Clinical Informatics (Internal Medicine), 2010 - 2012
- Harvard Medical SchoolMMSc, Medical Informatics, 2010 - 2012
- Maimonides Medical CenterResidency, Emergency Medicine, 2007 - 2010
- Chicago Medical School at Rosalind Franklin University of Medicine and ScienceClass of 2007
Certifications & Licensure
- MA State Medical License 2010 - 2026
- American Board of Emergency Medicine Emergency Medicine
- American Board of Preventive Medicine Clinical Informatics
Clinical Trials
- Prospective Evaluation of Computerized Physician Order Entry in the Emergency Department Start of enrollment: 2012 Mar 01
- Comparing an Automated to a Conventional Sepsis Clinical Prediction Rule Start of enrollment: 2012 Jul 01
- Scribes in the Emergency Department Start of enrollment: 2011 Oct 01
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Publications & Presentations
PubMed
- 1 citationsMachine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.Sharon Jiang, Barbara D Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman
Journal of the American Medical Informatics Association. 2024-06-20 - Deep neural networks detect regional wall motion abnormalities and preclinical cardiovascular disease from 12-lead ECGs.Tanner Carbonati, Parastou Eslami, Jonathan W Waks, Laurent Fiorina, Ashish Chaudhari
Medrxiv. 2024-06-01 - 19 citationsAuthor Correction: MIMIC-IV, a freely accessible electronic health record dataset.Alistair E W Johnson, Lucas Bulgarelli, Lu Shen, Alvin Gayles, Ayad Shammout
Scientific Data. 2023-01-16
Press Mentions
- Toward a Smarter Electronic Health RecordSeptember 23rd, 2021
- Covid-19: Symptoms Among Hospital Employees May Forecast Community SpreadJune 21st, 2021
- COVID-19 Symptom Incidence Among Hospital Employees for Early Alert Surveillance of Hospital AdmissionsJune 17th, 2021
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Professional Memberships
- Fellow
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