Implementation and Evaluation of Imaging Decision Support Incorporating CER

描述（由申请人提供）：拟议的研究将实施实时放射学决策支持，并研究其对传播和采用成像相关比较有效性研究（CER）结果的影响。先进成像技术的发展和广泛采用，包括计算机断层扫描（CT）、磁共振成像（MRI）、单光子发射计算机断层扫描（SPECT）和正电子发射断层扫描（PET），极大地改变了医学实践。然而，这些进步并不是没有代价的：诊断成像在美国的医疗保健总支出中占很大的比例，而且还在不断增长，并且担心所命令和执行的成像的实质部分可能是不必要的。也有证据表明，患者的偏好可能是负责至少在成像的一些增长。不适当的成像不仅会增加医疗保健系统的成本，还会通过辐射暴露或过度诊断造成伤害，导致治疗无法改善患者的预后。 计算机医嘱输入（CPOE），包括强大的决策支持（DS）有很大的潜力，以提高医疗质量和降低成本，提高适当的测试下令和减少不必要的成像。使用CPOE-DS支持临床实践是CMS确定的电子健康记录技术“有意义使用”的目标之一。MGH的放射科是第一批开发和实施CPOE的成像实时DS之一。我们的放射科订单输入（ROE）系统自2004年以来一直存在，现在几乎所有先进的成像都使用该系统订购。ROE的使用减缓了成像利用的增长，并提高了所进行研究的适当性。1由于ROE是内部开发的，因此很容易修改，以纳入关于在特定临床场景中最适当使用成像的不断发展的证据基础。最近的更新纳入了成像相关CER结果，并扩展了所涵盖的测试和条件。 我们将在合作伙伴医疗保健系统（PHS）内的大型社区医院实施ROE。Newton-韦尔斯利医院（NWH）是一家提供全方位服务的医疗、外科和专科医院，完全集成到PHS信息技术系统中，但没有DS进行成像。NWH和PHS的领导层渴望实施放射学DS，并完全支持当前的提案。我们将共同修改ROE，以纳入新的成像相关CER结果，创建新的以患者为中心的界面，并在NWH实施该系统。我们将对使用该系统的供应商和患者进行广泛的调查，以评估其可接受性，我们将研究ROE实施对成像利用和适当性的影响。该研究将提供急需的有关临床决策支持的可行性、可接受性和有效性的数据，作为传播和采用成像相关CER结果的一种手段，重点关注大型社区医院和几个优先条件。 公共卫生相关性：该研究将在波士顿地区的一家大型社区医院实施放射学测试订购的实时临床决策支持，并研究该系统对传播和采用成像相关比较有效性研究（CER）结果的影响。放射学的临床决策支持允许将关于成像研究的潜在有用性的相关信息真实的呈现给订购医生和患者。这项研究将提供重要的信息，在大型社区医院使用这样的系统的可行性，也有助于了解临床决策支持的影响，利用和适当的成像研究。

DESCRIPTION (provided by applicant): The proposed research will implement real-time radiology decision support and study its effects on the dissemination and adoption of imaging-related comparative effectiveness research (CER) findings. The development and broad adoption of advanced imaging techniques, including computed tomography (CT), magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT) and positron emission tomography (PET) has dramatically changed the practice of medicine. However, these advances are not without costs: diagnostic imaging represents a large and growing portion of total health care spending in the U.S., and there is concern that a substantial portion of the imaging ordered and performed may be unnecessary. There is also evidence that patient preference may be responsible for at least some growth in imaging. Inappropriate imaging not only adds cost to the healthcare system, it can also cause harm via radiation exposure or over diagnosis, leading to treatments that do not improve patient outcomes. Computer physician order entry (CPOE) that includes robust decision support (DS) has great potential to improve healthcare quality and reduce cost by improving the appropriateness of tests ordered and reducing unnecessary imaging. Use of CPOE-DS to support clinical practice is one of the goals identified for "meaningful use" of electronic health record technology by CMS. The Department of Radiology at MGH was one of the first to develop and implement CPOE with real-time DS for imaging. Our Radiology Order Entry (ROE) system has been in place since 2004 and virtually all advanced imaging is now ordered using the system. ROE use has slowed the growth of imaging utilization and increased appropriateness of studies performed.1 Because ROE was developed in house, it is easily modified to incorporate an ever-evolving evidence base regarding the most appropriate use of imaging in specific clinical scenarios. Recent updates have incorporated imaging-related CER findings and expanded the tests and conditions covered. We will implement ROE at a large community hospital within Partners HealthCare System (PHS). Newton- Wellesley Hospital (NWH) is a full-service medical, surgical and specialty hospital that is fully integrated into the PHS Information Technology system but does not have DS for imaging. NWH and PHS leadership are eager to implement radiology DS, and fully support the current proposal. Working together, we will modify ROE to incorporate new imaging-related CER findings, create a new patient-focused interface and implement the system at NWH. We will conduct extensive surveys of providers and patients using the system to evaluate its acceptability, and we will study the effects of ROE implementation on imaging utilization and appropriateness. The research will contribute much needed data concerning the feasibility, acceptability and effectiveness of clinical decision support as a means to disseminate and adopt imaging-related CER findings, focusing on a large community hospital and several priority conditions. PUBLIC HEALTH RELEVANCE: The research will implement real-time clinical decision support for radiology test ordering at a large community hospital in the Boston area, and study the system's effects on the dissemination and adoption of imaging-related comparative effectiveness research (CER) findings. Clinical decision support for radiology allows relevant information concerning the potential usefulness of an imaging study to be presented to ordering physicians - and patients - in real time. The research will provide important information concerning the feasibility of using such a system at a large community hospital, and also help to understand the impact of clinical decision support on the utilization and appropriateness of imaging studies.