Surveillance for probable COVID-19 using structured data in the electronic medical record.

Burke, Patrick C; Shirley, Rachel Benish; Faiman, Matthew; Boose, Eric W; Jones, Robert W; Merlino, Amy; Gordon, Steven M; Fraser, Thomas G

Burke, Patrick C; Shirley, Rachel Benish; Faiman, Matthew; Boose, Eric W; Jones, Robert W; Merlino, Amy; Gordon, Steven M; Fraser, Thomas G.

Burke PC; Department of Infection Prevention, Cleveland Clinic, Cleveland, Ohio.
Shirley RB; Enterprise Quality, Cleveland Clinic, Cleveland, Ohio.
Faiman M; Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio.
Boose EW; Information Technology, Cleveland Clinic, Cleveland, Ohio.
Jones RW; Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio.
Merlino A; Information Technology, Cleveland Clinic, Cleveland, Ohio.
Gordon SM; Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio.
Fraser TG; Information Technology, Cleveland Clinic, Cleveland, Ohio.

Infect Control Hosp Epidemiol ; 42(6): 781-783, 2021 06.

Article in English | MEDLINE | ID: covidwho-2096382

Subject(s)

COVID-19/diagnosis; Electronic Health Records; Population Surveillance/methods; COVID-19/epidemiology; Electronic Health Records/organization & administration; Electronic Health Records/statistics & numerical data; Humans; Ohio/epidemiology

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Electronic Health Records / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Infect Control Hosp Epidemiol Journal subject: Communicable Diseases / Nursing / Epidemiology / Hospitals Year: 2021 Document Type: Article

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