Summary
Potential capacity of an emergency dispatch center to predict COVID-19–related hospital and intensive care unit admissions
Castro Delgado R, Delgado Sánchez R, Duque del Río MC, Arcos González P
Affiliation of the authors
Unidad de Investigación en Emergencia y Desastre, Universidad de Oviedo, Spain. SAMU-Asturias, Spain. Gerencia de Urgencias, Emergencias y Transporte Sanitario, GUETS, SESCAM, Castilla- La Mancha, Spain. Red de Investigación de Emergencias Prehospitalarias (RINVEMER), SEMES, Spain.
DOI
Quote
Castro Delgado R, Delgado Sánchez R, Duque del Río MC, Arcos González P. Potential capacity of an emergency dispatch center to predict COVID-19–related hospital and intensive care unit admissions. Emergencias. 2021;33:367-73
Summary
Objective.
Methodology. Retrospective observational study on the daily calls made to the emergency call center of Castilla La Mancha, both calls to 112 and those made to COVID line, in the period between March 1 and October 14, 2020. The data were analyzed by codes “diarrhea”, “dyspnea”, “fever” and “general discomfort” that were used as predictor variables, and their relationship with hospital admissions and ICU admissions.
Results.
Conclusion. We have found an association between the number of calls to a CCUE due to dyspnea, fever, general discomfort, diarrhea and the number of calls with hospital admissions and ICU for COVID-SARS-2 2 weeks in advance, mainly due to general discomfort and diarrhea. The design of predictive expert systems and their automation using artificial intelligence could be part of the preparation, planning and anticipation programs of health systems in the near future in the event of future pandemics..