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

Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care.
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DOI:
10.3389/fpubh.2021.667819
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发表时间:
2021
影响因子:
5.2
通讯作者:
Ricciardi W
Ricciardi W
中科院分区:
医学3区
文献类型:
--
作者:
Cascini F;Santaroni F;Lanzetti R;Failla G;Gentili A;Ricciardi W

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前言:目的:通过构建全程临床路径,提高医院病人护理的安全性和质量。研究背景:在合并症和其他治疗相关复杂性所引起的挑战的背景下,为医疗保健组织设计的风险模型。研究设计:模型的核心是患者及其在医院内的旅程,使用数据驱动的方法进行分析。解释了支持组织和临床决策活动的预测模型的结构。与医院内旅程的每一步(从入院到出院)有关的数据从临床记录中提取。主要发现:建议的方法是可行的,可以有效地用于提高安全和质量。它能够评估患者旅程中每一步的临床风险。结论:基于真实案例的数据,该模型可以随着时间的推移记录和计算影响医疗机构安全和质量的变量和行为。这有助于更好地了解医疗保健流程及其复杂性,进而可以推进与临床路径相关的研究并改进组织采用的策略。
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.
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