通过使用数据裁决技术来提高通过健康信息交换（HIE）接收的数据的临床数据完整性。
Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE).
作者信息
Ranade-Kharkar Pallavi, Pollock Susan E, Mann Darren K, Thornton Sidney N
机构信息
Intermountain Healthcare, Murray, UT ; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Intermountain Healthcare, Murray, UT.
出版信息
AMIA Annu Symp Proc. 2014 Nov 14;2014:1894-901. eCollection 2014.
Growing participation in Healthcare Information Exchange (HIE) has created opportunities for the seamless integration of external data into an organization's own EHR and clinical workflows. The process of integrating external data has the potential to detect data integrity issues. Lack of critiquing external data before its incorporation can lead to data unfit for use in the clinical setting. HIE data adjudication, by detecting inconsistencies, physiological and temporal incompatibilities, data completeness and timeliness issues in HIE data, facilitates corrective actions and improves clinical data integrity.
医疗保健信息交换（HIE）参与度的不断提高，为将外部数据无缝集成到组织自身的电子健康记录（EHR）和临床工作流程中创造了机会。整合外部数据的过程有可能检测到数据完整性问题。在纳入外部数据之前缺乏对其进行批判性评估，可能会导致数据不适用于临床环境。通过检测HIE数据中的不一致性、生理和时间上的不兼容性、数据完整性和及时性问题，HIE数据裁决有助于采取纠正措施并提高临床数据的完整性。
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