Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care
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.S...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-05-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2021.667819/full |
| _version_ | 1818661983693570048 |
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| author | Fidelia Cascini Federico Santaroni Riccardo Lanzetti Giovanna Failla Andrea Gentili Walter Ricciardi |
| author_facet | Fidelia Cascini Federico Santaroni Riccardo Lanzetti Giovanna Failla Andrea Gentili Walter Ricciardi |
| author_sort | Fidelia Cascini |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T04:53:44Z |
| format | Article |
| id | doaj.art-9449fe29b8b84e7c806950b4e3f6345e |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-17T04:53:44Z |
| publishDate | 2021-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-9449fe29b8b84e7c806950b4e3f6345e2022-12-21T22:02:48ZengFrontiers Media S.A.Frontiers in Public Health2296-25652021-05-01910.3389/fpubh.2021.667819667819Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient CareFidelia Cascini0Federico Santaroni1Riccardo Lanzetti2Giovanna Failla3Andrea Gentili4Walter Ricciardi5Section of Hygiene and Public Health, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Roma, ItalyDepartment of Statistical Sciences, Sapienza Università di Roma, Roma, ItalyOrthopaedics and Traumatology Unit, Department Emergency and Acceptance, San Camillo - Forlanini Hospital, Roma, ItalyDepartment of Public Health, University of Verona, Verona, ItalySection of Hygiene and Public Health, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Roma, ItalySection of Hygiene and Public Health, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Roma, ItalyObjective: 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.https://www.frontiersin.org/articles/10.3389/fpubh.2021.667819/fullclinical governancepatient safetyguidelinesquality of carebest practices |
| spellingShingle | Fidelia Cascini Federico Santaroni Riccardo Lanzetti Giovanna Failla Andrea Gentili Walter Ricciardi Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care Frontiers in Public Health clinical governance patient safety guidelines quality of care best practices |
| title | Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care |
| title_full | Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care |
| title_fullStr | Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care |
| title_full_unstemmed | Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care |
| title_short | Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care |
| title_sort | developing a data driven approach in order to improve the safety and quality of patient care |
| topic | clinical governance patient safety guidelines quality of care best practices |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2021.667819/full |
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