Your browser doesn't support javascript.
Health Information Systems Adaptation and Flexibility in Extreme Situations: The COVID Effect.
Colussi, Giuliana; Torrens, Pierina; Giraldo, Liliana; Luna, Daniel; Rubin, Luciana; Benitez, Sonia.
  • Colussi G; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Torrens P; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Giraldo L; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Luna D; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Rubin L; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
  • Benitez S; Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
Stud Health Technol Inform ; 290: 1136-1137, 2022 Jun 06.
Article in English | MEDLINE | ID: covidwho-1933599
ABSTRACT
In 2020, a pandemic forced the entire world to adapt to a new scenario. The objective of this study was to know how Health Information Systems were adapted driven by the pandemic of COVID. 12 CIOS of healthcare organizations were interviewed and the interviews were classified according to the dimensions of a sociotechnical model Infrastructure, Clinical Content, Human Computer Interface, People, Workflow and Communication, Organizational Characteristics and Internal Policies, Regulations, and Measurement and Monitoring. Adaptation to the Pandemic involved social, organizational and cultural rather than merely technical aspects in private organizations with mature and stable Health Information Systems.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Information Systems / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220305

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Information Systems / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220305