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- “Reporting on the latest advancements in healthcare informatization, this study delves into China's healthcare dataset standards from 2011-2025. It reveals significant growth in quantity, optimized typology, and expansion into innovative applications like health decision support. However, it also identifies critical challenges such as imbalanced development and insufficient quality control. To address these, the study proposes a multi-faceted strategy to optimize the standard system's architecture, enhance quality and implementation, and advance data governance and intelligent service provision. These strategies aim to promote the application of dataset standards, fostering and securing the development of new productive forces in healthcare.”
Abstract：Standardized datasets are foundational to healthcare informatization by enhancing data quality and unleashing the value of data elements. Using bibliometrics and content analysis, this study examines China's healthcare dataset standards from 2011-2025. It analyzes their evolution across types, applications, institutions, and themes, highlighting key achievements including substantial growth in quantity, optimized typology, expansion into innovative application scenarios such as health decision support, and broadened institutional involvement. The study also identifies critical challenges, including imbalanced development, insufficient quality control, and a lack of essential metadata—such as authoritative data element mappings and privacy annotations—which hampers the delivery of intelligent services. To address these challenges, the study proposes a multi-faceted strategy focused on optimizing the standard system's architecture, enhancing quality and implementation, and advancing both data governance—through authoritative tracing and privacy protection—and intelligent service provision. These strategies aim to promote the application of dataset standards, thereby fostering and securing the development of new productive forces in healthcare.Keywords：healthcare;dataset standards;data standardization;data management4|0|0
Updated：2025-12-05 - “In the field of elderly hip arthroplasty care, a comprehensive hospital-home-community management model was developed. Expert xx established the structured multidisciplinary team system, which provides solutions to solve the fragmented care and inadequate care continuity problems.”
Abstract：With a growing population of elderly patients undergoing hip arthroplasty, traditional nursing models often struggle with fragmented care and inadequate care continuity. Based on Peplau's interpersonal relationship theory, this study explores a comprehensive hospital-home-community management model for an 80-year-old female patient following total hip arthroplasty. This nursing model was structured in four phases (orientation, identification, exploitation, and resolution) and included a structured multidisciplinary team, a stepwise health education system, discharge preparation services, and evidence-based postoperative care. Post-discharge management integrated traditional Chinese medicine-based pain management, intelligent rehabilitation training, and evidence-based constipation management. After six months of intervention, the patient achieved satisfactory wound healing and optimal prosthesis positioning. Significant improvements were also seen in pain, constipation, sleep, anxiety, hip function, self-care ability, and self-management competence. This approach established a closed-loop management system encompassing assessment, screening, referral, liaison, home visits, multidisciplinary collaboration, and continuous follow-up. This model bridges hospital-home care gap, enhances care continuity, and improves rehabilitation outcomes, thereby providing a replicable framework for the postoperative management of elderly surgical patients.Keywords：Peplau's interpersonal relationship theory;total hip arthroplasty;elderly;comprehensive management2|0|0Updated：2025-12-05 - “In the field of pelvic floor dysfunction, this paper systematically reviews the development stages of PFD-related databases and conducts a comparative analysis of representative international and domestic platforms. The findings provide solutions to optimize PFD databases worldwide.”
Abstract：Pelvic floor dysfunction (PFD), including conditions such as stress urinary incontinence, pelvic organ prolapse, and fecal incontinence, significantly affects women's quality of life and their physical and mental health. With advancement of digital medicine, the systematic collection of data and the high-quality development of database platforms have increasingly become central pillars of PFD research and management. This paper provides a systematical review of the developmental stages of PFD-related databases. It then conducts a comparative analysis of representative international and domestic platforms, examining key aspects: organizational structures and construction models, data sources and integration strategies, core functionalities, data quality control and standardization, data security and access management, and research applications. Finally, based on the current status of PFD database development both globally and in China, this study offers recommendations to support the improvement of data infrastructure and inform future directions. The findings may serve as a valuable reference for the optimization of PFD databases worldwide.Keywords：pelvic floor dysfunction;disease registry;database;data platform;disease research9|12|0Updated：2025-11-19
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