How artificial intelligence could transform emergency department operations

Yosef Berlyand; Ali S Raja; Stephen C Dorner; Anand M Prabhakar; Jonathan D Sonis; Ravi V Gottumukkala; Marc David Succi; Brian J Yun

doi:10.1016/j.ajem.2018.01.017

How artificial intelligence could transform emergency department operations

Am J Emerg Med. 2018 Aug;36(8):1515-1517. doi: 10.1016/j.ajem.2018.01.017. Epub 2018 Jan 4.

Authors

Yosef Berlyand¹, Ali S Raja², Stephen C Dorner³, Anand M Prabhakar⁴, Jonathan D Sonis², Ravi V Gottumukkala⁴, Marc David Succi⁵, Brian J Yun⁶

Affiliations

¹ Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States.
² Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States; Center for Research in Emergency Department Operations (CREDO), Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States.
³ Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States; Center for Research in Emergency Department Operations (CREDO), Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States; Harvard Affiliated Emergency Medicine Residency Program, 5 Emerson Place, Suite 101, Boston, MA 02114, United States.
⁴ Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States; Center for Research in Emergency Department Operations (CREDO), Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States; Department of Radiology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States.
⁵ Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States; Center for Research in Emergency Department Operations (CREDO), Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States; Department of Radiology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States; Medically Engineered Solutions in Healthcare (MESH) Incubator, Department of Radiology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States.
⁶ Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, United States; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States; Center for Research in Emergency Department Operations (CREDO), Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, United States. Electronic address: [email protected].

PMID: 29321109
DOI: 10.1016/j.ajem.2018.01.017

No abstract available

Keywords: Artificial intelligence; Emergency department operations; Emergency medicine; Emergency radiology; Machine learning; Natural language processing; Triage.

Publication types

Letter

MeSH terms

Artificial Intelligence / trends*
Emergency Medicine / methods*
Emergency Service, Hospital / organization & administration
Humans
Triage / methods*