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Ranade-Kharkar P, Pollock SE, Mann DK, et al. Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE). AMIA Annu Symp Proc. 2014;2014:1894-901
Ranade-Kharkar, P., Pollock, S. E., Mann, D. K., & Thornton, S. N. (2014). Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE). AMIA ... Annual Symposium proceedings. AMIA Symposium, 20141894-901.
Ranade-Kharkar, Pallavi, et al. "Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE)." AMIA ... Annual Symposium proceedings. AMIA Symposium vol. 2014 (2014): 1894-901.
Ranade-Kharkar P, Pollock SE, Mann DK, Thornton SN. Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE). AMIA Annu Symp Proc. 2014 Nov 14;2014:1894-901. eCollection 2014. PMID: 25954462; PMCID: PMC4419943.
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AMIA Annu Symp Proc. 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).

AMIA ... Annual Symposium proceedings. AMIA Symposium

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

Affiliations

  1. Intermountain Healthcare, Murray, UT ; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
  2. Intermountain Healthcare, Murray, UT.

PMID: 25954462 PMCID: PMC4419943

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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