Developing Evidence- based User Centered Design and Implementation Guidelines to Improve Health Information Technology Usability
Developing Evidence- based User Centered Design and Implementation Guidelines to Improve Health Information Technology Usability
批准号:
9145193
负责人:
Raj M Ratwani
金额:
$24.9万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-30 至 2020-07-31
中文摘要
描述(由申请人提供):拟议研究的目标是提供一个证据基础,以便更好地为以用户为中心的设计和实施过程提供信息,以提高医疗信息技术(Health IT)的可用性和安全性。建议的研究是对特别强调通知(NOT-HS-15-005)的直接回应。利用专家手动审查和机器学习技术的混合方法,特别是自然语言处理,我们将开发快速分析患者安全事件数据的方法,以确定哪些事件与健康IT相关。然后,我们将进一步对与健康信息技术相关的安全事件进行分类,以确定哪些事件本来可以通过有效的可用性或实施过程来预防。通过这一分析,我们将能够具体说明对安全和有效使用卫生信息技术至关重要的可用性和实施过程。这个项目
利用研究团队在人类因素和安全科学、健康信息技术和计算机科学方面的广泛专业知识。拟议的研究基于我们的团队从之前的研究中收集的独特见解,这些研究侧重于卫生IT供应商的设计和实现流程。该应用程序通过提供证据基础来改善卫生信息技术的可用性和安全性,从而更好地为政策和实践提供信息,从而解决了呼吁应用程序的基本方面。这项研究工作是与一家医疗IT部门合作进行的
供应商和患者安全组织,以确保我们的结果与供应商的需求保持一致,并确保结果具有普遍性。这项研究的贡献将包括对关键的以用户为中心的设计和实施流程的基本理解,以便为供应商和提供商实践提供信息。我们的研究还将为国家协调员办公室等组织提供信息,以便更好地为卫生信息技术政策提供信息。
英文摘要
DESCRIPTION (provided by applicant): The objective of the proposed research is to provide an evidence-base to better inform user centered design and implementation processes to improve health information technology (health IT) usability and safety. The proposed research is in direct response to special emphasis notice (NOT-HS-15-005). Utilizing a hybrid approach of expert manual review and machine learning techniques, specifically natural language processing, we will develop methods to rapidly analyze patient safety event data to determine which events are health IT related. We will then further categorize the health IT related safety events to determine which events could have been prevented by effective usability or implementation processes. Through this analysis we will be able to specify the usability and implementation processes that are critical to the safe and effective use of health IT. This project
utilizes the extensive expertise of the research team in human factors and safety science, health IT, and computer science. The proposed research is based on unique insights that our team gleaned from previous research that we conducted focusing on health IT vendor design and implementation processes. The application addresses fundamental aspects of the call for applications by providing an evidence base to improve health IT usability and safety to better inform policy and practice. This research effort is being conducted in partnership with a health IT
vendor and a patient safety organization to ensure that our results align with vendor needs and to ensure the results are generalizable. Contributions from this research will include a fundamental understanding of the critical user centered design and implementation processes to inform vendor and provider practice. Our research will also provide organizations like the Office of the National Coordinator with the information to better inform health IT policy.
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会议论文
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