I-Corps: Clinical Workforce Schedule Optimization Technology

I-Corps：临床劳动力调度优化技术

• 批准号: 1764312
• 负责人: Sanjay Mehrotra
• 金额: $ 5万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-15 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1764312&HistoricalAwards=false
• 关键词: Corps; Clinical; Workforce; Schedule; Optimization

The broader impact/commercial potential of this I-Corps project will be that a novel clinical schedule optimization technology developed based on a prior NSF funded research project can be used to reduce staffing costs in health systems. The technology will also help improve patient safety. Results from prior analysis suggest that significant joint operational and safety costs savings are possible using the system. Since staffing costs, specifically clinical workforce costs, constitute a significant portion of healthcare costs, a large impact on overall health care costs can result from successful implementation of the schedule optimization technology. Additional safety benefits will offer potential further savings.This I-Corps project with help explore the processes used in making staffing and scheduling decisions for the clinical staff, and how the developed clinical schedule optimization technology can potentially be leveraged to improve these decisions in real operational settings. The findings from this exploration will help the investigator team to understand the market readiness for this technology, and the viability of potential products and services to help improve hospital systems. This will inform the technology's further development by determining the target market and understanding of current staffing products and solutions.

这个I-Corps项目的更广泛的影响/商业潜力将是一种基于先前NSF资助的研究项目开发的新型临床时间表优化技术，可用于降低卫生系统的人员成本。该技术还将有助于提高患者的安全性。先前分析的结果表明，使用该系统可以显著节省联合运营和安全成本。由于人员成本，特别是临床劳动力成本，构成了医疗保健成本的很大一部分，对整体医疗保健成本的巨大影响可以从成功实施的时间表优化技术。 额外的安全效益将提供潜在的进一步savings.This I-Corps项目与帮助探索用于使人员配置和调度决策的临床工作人员的过程中，以及如何开发的临床时间表优化技术可以潜在地利用，以改善这些决策在真实的操作设置。此次探索的结果将有助于研究团队了解该技术的市场准备情况，以及帮助改善医院系统的潜在产品和服务的可行性。这将通过确定目标市场和了解当前的人员配置产品和解决方案来为技术的进一步发展提供信息。