Analyzing and Improving Technology Investment Decisions at Hospitals

分析和改进医院的技术投资决策

• 批准号: 8583669
• 负责人: Christian Wernz
• 金额: $ 10万
• 依托单位: VIRGINIA POLYTECHNIC INST AND ST UNIV
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8583669
• 关键词: Analyzing; Improving; Technology; Investment; Decisions

Project Abstract - Analyzing and Improving Technology Investment Decisions at Hospitals The goal of this project is to improve technology investment decisions at hospitals by developing and field- testing a novel data-to-decision methodology. Hospitals spend a substantial amount of their budgets on medical technologies and many hospitals seek guidance on how to better allocate their resources. Deciding whether, and when, to purchase which technologies is complex due to uncertainties about financial and medical outcomes, dynamic interdependencies among difficult-to-quantify factors, conflicting objectives, and a multi-level decision process with numerous stakeholders. Inefficient and ineffective investment decisions represent a significant problem because medical technology expenditures are a major contributor to the high and ever-rising health care costs in the United States. This project uses qualitative data analysis, system dynamics modeling and multi-objective decision analysis to improve technology investment decisions in hospitals with a focus on robotic surgery, the project's pilot technology.

项目摘要-分析和改进医院的技术投资决策 该项目的目标是通过开发和现场应用来改善医院的技术投资决策。 测试一种新的数据到决策方法。医院在以下方面花费了大量预算 医疗技术和许多医院在如何更好地分配资源方面寻求指导。决定 由于财务和技术方面的不确定性，是否以及何时购买哪些技术非常复杂 医疗结果，难以量化的因素之间的动态相互依存关系，相互冲突的目标，以及 拥有众多利益相关者的多层次决策流程。低效和无效的投资决策 这是一个很大的问题，因为医疗技术支出是高 以及美国不断上涨的医疗保健成本。本项目采用定性数据分析，系统 基于动态建模和多目标决策分析的技术投资决策改进 医院的重点是机器人手术，这是该项目的试点技术。