ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE).
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Data Harmonization Methods and Data Quality Assessment for Integrating Routinely Collected Data Across Multiple Sources: A Systematic Review.Advances in health information science and practice · 2026Pooled it
- Successes and Barriers of Health Information Exchange Participation Across Hospitals in South Carolina From 2014 to 2020: Longitudinal Observational Study.JMIR medical informatics · 2023Observational
- Automating Electronic Health Record Data Quality Assessment.Journal of medical systems · 2023Review
- Patient Identification Techniques - Approaches, Implications, and Findings.Yearbook of medical informatics · 2020Review
- Linking the health data system in the U.S.: Challenges to the benefits.International journal of nursing sciences · 2017Review
- Improving Clinical Data Integrity by using Data Adjudication Techniques for Data Received through a Health Information Exchange (HIE).AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
25954462PMC4419943What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.