Development and validation of an advanced data analytics model to support strategic point-of-care testing utilization decisions in the emergency department
Advanced data analytics has become a useful tool in analyzing lots of processes. Our study showed that advanced data analytics has become an exceptional tool in clinical laboratories and exemplifies how POCT incorporation in ED for care of ESI-3 patients reduces physicians' workload and waiting times of ESI-3, 4 and 5 patients, thus optimizing the patients' medical journey.
Authors
- Catalina Sánchez-Mora
- Salomon Martin-Perez
- Isabel Morales (ORCID: https://orcid.org/0000-0003-0659-0921)
- Fernando Oltra‐Hostalet
- Carmen Navarro-Bustos (ORCID: https://orcid.org/0000-0002-7114-2503)
- Jose M. Garrido-Castilla
- Antonio Luque-Cid
- Antonio León‐Justel (ORCID: https://orcid.org/0000-0002-2219-7129)
- Marta Jimenez-Barragan (ORCID: https://orcid.org/0000-0001-9540-0602)
- M.T. Martín Fernández-Gallardo
- Antonia Eugenio-Pizarro
- Ana Diaz-Luque
Institutions
- Universidad Loyola Andalucía (ES)
- Hospital Universitario Virgen Macarena (ES)
- National Council for Scientific Research (LB)
- Universidad Loyola (BO)
- Instituto de Biomedicina de Sevilla (ES)
- Universidad de Sevilla (ES)
Publication Details
- Journal
- Journal of Medical Economics
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1080/13696998.2025.2508659
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00