Using Informatics Framework in Immunosuppressed or Transplanted Patients for a Preferential Care Route at the Emergency Department.

Autor: Ungaro CM; Sanatorio Las Lomas, Buenos Aires, Argentina., Binder F; Department of Health Informatics, Hospital Italiano de Buenos Aires, Ciudad de Buenos Aires, Argentina., Luna DR; Department of Health Informatics, Hospital Italiano de Buenos Aires, Ciudad de Buenos Aires, Argentina., Pollan JA; Servicio de Clínica Médica, Hospital Italiano de Buenos Aires, Argentina., Martinez BJ; Servicio de Clínica Médica, Hospital Italiano de Buenos Aires, Argentina.; Emergency Department, Hospital Italiano de Buenos Aires, Argentina., Jáuregui OI; Department of Health Informatics, Hospital Italiano de Buenos Aires, Ciudad de Buenos Aires, Argentina., Grande Ratti MF; Department of Health Informatics, Hospital Italiano de Buenos Aires, Ciudad de Buenos Aires, Argentina.; Emergency Department, Hospital Italiano de Buenos Aires, Argentina.
Jazyk: angličtina
Zdroj: Studies in health technology and informatics [Stud Health Technol Inform] 2022 Jun 06; Vol. 290, pp. 457-459.
DOI: 10.3233/SHTI220117
Abstrakt: For immunosuppressed or transplanted patients, appropriate triage is a timely topic, especially in the Emergency Department (ED) of a high-volume referral center. We implemented a new Program called Rapid Clinical Care by Internal Medicine Specialists, as a preferential care route for these patients, which combines the proposed informatics framework in the field of total quality management in the healthcare units, as an example of digital technologies that can improve processes in the clinical routine. Our study aimed to describe waiting-time and attention-time in ED and to explore the effect on patients' clinical outcomes after discharge. Findings were: shortened waiting time (median of 8 minutes versus 21, p<0.001), improved ED on-call time (median of 2 hours compared to 4, p<0.001), and greater follow-up after discharge, measured as 1-week scheduled-visits rate (69% with 95%CI 63-75; compared to 43% with 95%CI 35-51; p<0.001).
Databáze: MEDLINE