Value of Imaging-Related Information Technology

描述（由申请人提供）：在拟议的研究中，申请人将评估医学影像信息学（MII）对医疗成本和质量的影响。总体目标是开发与MII利用相关的“质量业务案例”。MII系统有潜力通过提高有效性、及时性和效率来改善护理的安全性和质量，但只有不到15%的医院放射科完全实施了这些系统。完全实施MII系统的放射科所占比例较低，这为提高患者护理的质量和安全性提供了机会。然而，部署一个全面的MII系统的决定通常是基于财务考虑，而不是提高质量和安全的潜力。更好地了解MII系统的财务和运营价值，将有助于制定有关MII部署的决策，并大大提高医疗质量和安全性。该项目将评估麻省总医院（MGH）和纽约大学（NYU）的MII部署情况。有机会在两个相距近十年的大型学术医疗中心研究MII的部署，这为更好地理解MII的价值并将MII的影响与医疗保健中的其他长期趋势隔离开来提供了独特的机会。该项目的分析将确定部署MII系统的财务影响，包括其使用的成本和节省。该项目还将通过检查流程时间、提供者和资本利用效率以及管理错误，确定信息工业投资对医疗保健质量和安全的影响。申请人将利用几家规模较小和/或农村医院的数据，开发模型来预测在不同情况下MII的价值。该研究将增加对MII价值的认识和理解，并提供数据，以促进在不同卫生保健环境中实施MM的理性决策。多学科研究团队在医学影像信息学、财务分析和技术评估的各个方面都有经验，完全有资格进行拟议的研究。

DESCRIPTION (PROVIDED BY APPLICANT): In the proposed study, the applicant will assess the impact of Medical Imaging Informatics (MII) on healthcare costs and quality. The overall goal is to develop a "business case for quality" related to MII utilization. MII systems have the potential to improve the safety and quality of care by enhancing effectiveness, timeliness and efficiency, yet fewer than 15 percent of hospital radiology departments have fully implemented them. The low percentage of radiology departments with fully implemented MII systems represents an opportunity to improve the quality and safety of patient care. However, the decision to deploy a comprehensive MII system is often based on financial considerations, rather than the potential to improve quality and safety. A better understanding of the financial and operational value of MII systems will facilitate decision-making regarding MII deployment and result in substantial improvements in healthcare quality and safety. This project will evaluate MII deployment at Massachusetts General Hospital (MGH) and at New York University (NYU). The opportunity to study MII deployment at two large academic medical centers that underwent the process almost a decade apart presents a unique opportunity to better understand the value of MII and to isolate the effects of MII from other secular trends in healthcare. The project's analysis will identify the financial implications of deploying MII systems, including the costs and savings attributable to their use. The project will also determine the effect of MII on healthcare quality and safety, by examining process times, efficiency of provider and capital utilization, and management errors. Using data from several smaller and/or rural hospitals, the applicant will develop models to predict the value of MII in different settings. The research will increase the knowledge and understanding of the value of MII and provide data that will facilitate rational decision-making oncerning MM implementation in different heath care settings. The multidisciplinary research team is experienced in all aspects of Medical Imaging Informatics, financial analysis, and technology assessment, and is well qualified to conduct the proposed research.