Image of Handly, Neal

Neal B. Handly, MD

Associate Research Director; Assistant Professor of Emergency Medicine

  • Practice:Drexel Emergency Medicine
  • Specialty:Emergency Medicine
  • Education: MD, University of Calfornia Irvine, Irvine (1997); MS, California Institute of Technology, Pasadena (1983); MS, Oxford University, Oxford, United Kingdom (1977); BA, San Jose State University, CA (1974)
Patient Care

Dr. Neal Handly is board certified in emergency medicine. He sees patients in Center City Philadelphia.

Affiliated Hospitals: Hahnemann University Hospital; St Joseph's Hospital


  • Editor, Yearbook in Emergency Medicine
  • Chair, IT subcommittee, American Academy of Emergency Medicine

"Evaluation of a Hospital Admission Prediction Model Adding Coded Chief Complaint Data Using a Neural Network Methodology"
Handly N
, Thompson D, Li J, Chuirazzi DM, Venkat A
European Journal of Emergency Medicine, accepted, in press (2014)

"Lightweight Ontologies in Context - Relationship between Ontology Characteristics and Context Parameters"
Waldstein IM, Weber RO and Handly N
In Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pages 308-315. DOI: 10.5220/0004550303080315 (2013)

“Semantic-enhanced models to support timely admission prediction at emergency departments”
Li J, Guo L, Handly N, Mai AA and Thompson DA
Computer Science Network Modeling and Analysis in Health Informatics and Bioinformatics Volume 1, Number 4, 161-172, DOI: 10.1007/s13721-012-0014-6 (2012)

"Improving Patient Safety With Ultrasonography Guidance During Internal Jugular Central Venous Catheter Placement by Novice Practitioners"
Griswold-Theodorson S, Hannan H, Handly N, Pugh B, Fojtik J, Saks M, Hamilton R, and Wagner D
Simulation in Healthcare: Journal of the Society for Simulation in Healthcare, Vol. 4 Issue 4: 212-216 (2009)

Peer-Reviewed Web-Based Publication

"Amphetamine Toxicity"
*Handly N.
eMedicine from WebMD, updated February 2, 2014


“Derivation and Validation of A Hospital Admission Prediction Model Adding Coded Chief Complaint to Demographic, Emergency Department Operational and Patient Acuity Data Available at ED Triage Using Neural Net Methodology,”
Handly N, Thompson DA, Venkat A
Poster accepted for presentation at the annual American College of Emergency Physicians Scientific Assembly Research Forum, Seattle, Wash., October 15, 2013

  • Emergency Medicine
Services and Clinical Interests
  • Emergency medical procedures
  • Emergency Medicine - MCP Hahnemann University (2000)
  • Emergency Medicine - MCP Hahnemann University (2000)
Second Languages

Primary Practice

Drexel Emergency Medicine
245 N. 15th Street
MS 1011
Philadelphia, PA 19102
Phone: 215-762-2368
Fax: 215-762-1307

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