一个基于网络的平台,用于优化医疗保健资源分配和工作负载管理,使用敏捷的方法和WISN理论
Akash Gajanan Prabhune1, P S Karpaga Priya2, Rohit Chandra1
1ADMIRE Centre for Advancing Digital Health, Institute of Health Management Research, Bangalore (IIHMR-B), Bengaluru, India.
BMC health services research
|March 19, 2025
概括
PRAYOJN平台自动化了世界卫生组织的工作负载指标人员需求 (WISN) 方法,简化了医疗保健劳动力规划. 这个数字工具提高了计算人员需求的效率和准确性,改善了医疗机构的资源配置.
科学领域:
- 医疗保健管理的管理
- 医疗信息学 医疗信息学
- 运营研究 运营研究
背景情况:
- 有效的医疗保健工作人员管理对于质量护理至关重要,特别是在资源有限的环境中.
- 手动工作负载指标的员工需求 (WISN) 方法是复杂和耗时的.
- PRAYOJN平台是为了自动化WISN计算和改善医疗保健工作人员规划而开发的.
研究的目的:
- 开发和验证一个基于Web的系统,用于自动化WISN方法.
- 提高医疗保健工作人员规划的效率和准确性.
主要方法:
- 在五个代冲刺中使用敏捷开发方法,并获得利益相关者的反.
- 整合主要,辅助和辅助任务的数据,以计算人员需求.
- 可用工作时间 (AWT),标准工作量 (SW),类别津贴因子 (CAF) 和个人津贴因子 (IAF) 的自动计算.
- 阿尔法和β测试用于可用性,准确性和现实世界的性能评估.
主要成果:
- PRAYOJN平台精确计算了员工需求,一个瘤科需要15.53个FTE,与现有的15个FTE非常接近.
- 代敏捷开发改善了平台的用户界面 (UI) 和用户体验 (UX).
- 用户反强调了平台的用户友好设计,通过动态可视化高效地解释工作负载,并降低了计算复杂度.
结论:
- 通过自动化和改进的数据可视化,PRAYOJN使基于WISN的劳动力规划现代化.
- 该平台支持实时决策,以优化人员效率.
- 它的可扩展性和直观的界面使其成为各种医疗保健环境中宝贵的工具.
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