过程管理
知识管理
主题分析
系统回顾
平衡计分卡
文件夹
构造(python库)
管理科学
医疗保健
医学
运营管理
定性研究
计算机科学
业务
梅德林
社会学
工程类
政治学
法学
社会科学
财务
程序设计语言
作者
D. V. AVILA,David Naranjo‐Gil
摘要
ABSTRACT Rationale, Aims and Objectives Integrated health management represents a pivotal strategy for enhancing both operational efficiency and the quality of care in hospital environments. This study undertakes a systematic literature review to examine the influence of integrated health management on hospital administration. The principal aim is to synthesise a structured body of knowledge capable of informing strategic clinical decision‐making and shaping future research trajectories. Methods This investigation employed the Constructivist Knowledge Development Process (ProKnow‐C), a methodological framework implemented in four sequential stages: (i) the selection of pertinent peer‐reviewed literature to construct a representative portfolio; (ii) bibliometric analysis to evaluate the impact and consistency of sources; (iii) systemic analysis to categorise thematic dimensions; and (iv) the identification of research gaps and prospective avenues for investigation. A total of 20 scholarly articles were scrutinised using both quantitative and qualitative criteria. Results Three principal approaches to integrated hospital management were identified: (1) the utilisation of management tools—such as the Balanced Scorecard and performance indicators—to improve service delivery efficiency; (2) strategies for performance enhancement, underpinned by strategic planning, detailed operational analysis, and robust internal controls; and (3) financial management approaches, grounded in hospital information systems and evidence‐based decision‐making. Bibliometric findings confirmed the internal coherence of the selected portfolio, while the systemic analysis demonstrated the presence of shared conceptual frameworks throughout the literature. Conclusions This systematic review contributed to the consolidation of a structured knowledge base concerning integrated hospital management and highlighted critical areas for future research. Further enquiry is warranted into models for clinical risk mitigation, the optimisation of resource allocation, and the development of financially viable management practices. The ProKnow‐C methodology proved robust and suitable for guiding research within the domains of clinical evaluation and healthcare management.
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