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SINI 2024: Design and Application of A Decision-Making System for Heart Failure in Nurse-Led Clinics
Authors
Li, QiaoYan Wu, Linjing Wang, Yuli Lu, Huilin Zhang, Yunfei
Li, QiaoYan
Wu, Linjing
Wang, Yuli
Lu, Huilin
Zhang, Yunfei
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Date
2024-07-18
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Peer Reviewed
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Poster/Presentation
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Abstract
- Introduction The standardized prevalence rate of the population aged 25 years in China is 1.01%, with a significant proportion (40.5%) experiencing three hospitalizations. Additionally, there is a one-year mortality rate of 7% and a substantial economic burden, which significantly impacts the overall quality of life. Therefore, comprehensive, and multidisciplinary management of discharged heart failure patients is imperative. A decision-making system for heart failure in nurse-led Clinics aims to enhance intelligent and standardized management of heart failure patients based on evidence-based guidelines to support clinical decisionmaking.
- Methods Research Framework: 1. Formation of the team. 2. Demand Analysis: Semi-structured in-depth interviews are employed to comprehend the requirements of outpatient staff for informative purposes. 3. Process Reengineering: Sorting out the workflow and system functional flow of nursing clinics. 4. System Development: Integrating with the workflow, designing, and enhancing the system's functional architecture and interface based on user needs.
- Results The existing workflow undergoes transformation. Based on this process, the system functional flowchart is devised. Building upon the functional flowchart, a preliminary design of the decision-making system's functional architecture prototype is formulated, resulting in the formation of the subsequent functional modules: main interface, patient management interface, follow-up center, statistical analysis, and knowledge base. After aligning requirements with engineers' input, enhancements are made to refine the system interface design.
- Conclusions The decision-making system for heart failure, based on predefined pathways, will expedite the assessment process, offer effective decision-making support, facilitate standardized management of throughout the entire procedure, and is an effective tool to aid decision-making.
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Poster with abstract presented at the University of Maryland School of Nursing, Summer Institute in Nursing Informatics (SINI) 2024: Health Care Informatics IQ: Fostering the Human Connection.
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