Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care

Fidelia Cascini, Gualtiero Ricciardi, Andrea Gentili, Federico Santaroni, Riccardo Lanzetti, Giovanna Failla

Risultato della ricerca: Contributo in rivistaArticolo in rivista

Abstract

Objective: To improve the safety and quality of patient care in hospitals by shaping clinical pathways throughout the patient journey. Study Setting: A risk model designed for healthcare organizations in the context of the challenges arising from comorbidity and other treatment-related complexities. Study Design: The core of the model is the patient and his intra-hospital journey, which is analyzed using a data-driven approach. The structure of a predictive model to support organizational and clinical decision-making activities is explained. Data relating to each step of the intra-hospital journey (from hospital admission to discharge) are extracted from clinical records. Principal Findings: The proposed approach is feasible and can be used effectively to improve safety and quality. It enables the evaluation of clinical risks at each step of the patient journey. Conclusion: Based on data from real cases, the model can record and calculate, over time, variables and behaviors that affect the safety and quality of healthcare organizations. This provides a greater understanding of healthcare processes and their complexity which can, in turn, advance research relating to clinical pathways and improve strategies adopted by organizations.
Lingua originaleEnglish
pagine (da-a)1-7
Numero di pagine7
RivistaFrontiers in Public Health
Volume9
DOI
Stato di pubblicazionePubblicato - 2021

Keywords

  • best practices
  • clinical governance
  • guidelines
  • Patient Care
  • quality of care
  • Humans
  • Hospitals
  • patient safety

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