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. 2014 Nov 14:2014:1894-901.
eCollection 2014.

Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE)

Pallavi Ranade-Kharkar  1 , Susan E Pollock  2 , Darren K Mann  2 , Sidney N Thornton  1
Affiliations

Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE)

Pallavi Ranade-Kharkar et al. AMIA Annu Symp Proc. .

Abstract

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.

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Figures

Figure 1.
Figure 1.
Architecture for HIE Document Processing and Data Adjudication
See this image and copyright information in PMC

References

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MeSH terms