Section of Hygiene and Public Health, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Roma, Italy.
Department of Statistical Sciences, Sapienza Università di Roma, Roma, Italy.
Front Public Health. 2021 May 21;9:667819. doi: 10.3389/fpubh.2021.667819. eCollection 2021.
To improve the safety and quality of patient care in hospitals by shaping clinical pathways throughout the patient journey. A risk model designed for healthcare organizations in the context of the challenges arising from comorbidity and other treatment-related complexities. 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. 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. 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.
通过在患者整个就医过程中构建临床路径来提高医院的安全性和护理质量。这是一款针对医疗保健机构设计的风险模型，旨在应对合并症和其他治疗相关复杂性所带来的挑战。该模型的核心是患者及其在医院内的就医过程，通过数据驱动的方法对其进行分析。本文还解释了一种用于支持组织和临床决策活动的预测模型结构。从临床记录中提取与医院内就医过程的每一步（从入院到出院）相关的数据。所提出的方法是可行的，并且可以有效地用于提高安全性和质量。它可以评估患者就医过程中每一步的临床风险。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保健组织安全性和质量的变量和行为。这有助于更深入地了解医疗保健流程及其复杂性，从而推动与临床路径相关的研究，并改进组织所采用的策略。
