Pioneering Health Information Technology (R00)

描述（由申请人提供）： 这个职业发展应用程序提供有针对性的课程和必要的辅导研究进展到独立的研究在健康信息质量的跨学科领域。健康记录中的数据和信息用于临床环境中的决策，用于计费，以及用于重要的次要用途，如质量改进和研究。不准确、不完整或无法访问的信息可能会危及临床决策，并可能阻止临床医生使用健康信息系统，从而破坏我们通过健康信息学和健康IT寻求的医疗安全和质量方面的收益。 我们通过信息学改善人类健康的能力依赖于可接受的信息质量。因此，医疗保健中的信息质量方法必须跟上健康信息学其他领域的进步。因此，指导（M）和独立（R）研究阶段的具体目标是： 目标M1：识别和表征临床医生在决策中使用他人提供的信息的意愿因素，例如，EHR中的信息或来自健康信息交换（HIE）的信息。 目标M2：制定和验证信息质量指标，例如，质量分数将增加临床医生使用其他人提供的适当质量信息的意愿。 目标M3：评估方法，以测试高血压和结直肠癌筛查患者的临床决策的不良信息质量的影响。 目标R1：将目标M1中的工作扩展到其他临床设施，以实现更大的普遍性。 目标R2：测试知识信息质量是否影响高血压和结直肠癌筛查患者基于临床指南决策的信息使用。 目标R3：通过一项随机对照临床试验，检验提高信息质量对初级保健高血压患者血压控制的影响。 这项重要的工作启动了一个未知领域的正式研究计划。申请人Meredith Nahm博士已经完成了健康信息学的博士研究，并具有相当的职业生涯和早期研究经验，描述和评估临床数据质量。这些目标探讨了医疗保健信息质量研究的必要性，以及评估信息质量和信息质量知识对临床决策影响的试点方法。这项研究的积极结果将为针对临床重要信息的信息质量改进提供方法。

DESCRIPTION (provided by applicant): This Career Development Application provides targeted coursework and mentored research necessary for progression to independent research in the interdisciplinary area of health information quality. Data and information in health records are used in decision making in the clinical setting, for billing, and for important secondary uses such as quality improvement and research. Inaccurate, incomplete, or inaccessible information may jeopardize clinical decisions, and may deter clinicians from using health information systems, thus undermining the gains in healthcare safety and quality that we seek through Health Informatics and Health IT. Our ability to improve human health through informatics relies on acceptable information quality. Thus, it is imperative that information quality methodology in healthcare keep pace with advances in other areas of health informatics. Therefore, the specific aims of the mentored (M) and independent (R) research phases are: Aim M1: Identify and characterize factors in clinician willingness to use information provided by others in decision making, e.g., information in EHRs, or information from Health Information Exchanges (HIEs). Aim M2: Develop and validate indicators of information quality, e.g., a quality score that will increase clinician willingness to use appropriate quality information provided by others. Aim M3: Evaluate methodology to test the impact of poor information quality on clinical decisions in hypertension and colorectal cancer screening patients. Aim R1: Extend the work in aim M1 to other clinical facilities to achieve greater generalizability. Aim R2: Test whether knowledge information quality impacts information use in clinical guideline-based decisions in hypertension and colorectal cancer screening patients. Aim R3: Test the impact of improving information quality on blood pressure control in hypertensive patients in the primary care setting using a randomized, controlled clinical trial. This significant work initiates a formal program of research in an uncharted area. The applicant, Meredith Nahm, PhD has completed doctoral study in Health Informatics and has considerable career and early research experience characterizing and assessing clinical data quality. These aims probe the need for information quality research in healthcare, and pilot methodology to assess the impact of information quality and knowledge of information quality on clinical decisions. Positive results from this research will provide methodology for information quality improvement that targets clinically important information.