Single-reviewer electronic phenotyping validation in operational settings: Comparison of strategies and recommendations
| Autor: | Kevin W. Noonan, Catherine J. Staes, Kensaku Kawamoto, David Shields, Polina V. Kukhareva, Heather L. Mueller, Phillip B. Warner, Howard Weeks |
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| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
business.industry 010102 general mathematics Health Informatics computer.software_genre 01 natural sciences Computer Science Applications 03 medical and health sciences Phenotype 0302 clinical medicine Cohen's kappa Chart Chart review medicine Electronic Health Records Humans Medical physics Lower cost 030212 general & internal medicine Data mining 0101 mathematics business computer Algorithms |
| Zdroj: | Journal of Biomedical Informatics. 66:1-10 |
| ISSN: | 1532-0464 |
| DOI: | 10.1016/j.jbi.2016.12.004 |
| Popis: | Display Omitted A single-reviewer validation process can be used in an operational setting.Detailed electronic results increase accuracy and reduces expense of chart review.We recommend using a mix of phenotype validation strategies. ObjectiveDevelop evidence-based recommendations for single-reviewer validation of electronic phenotyping results in operational settings. Material and methodsWe conducted a randomized controlled study to evaluate whether electronic phenotyping results should be used to support manual chart review during single-reviewer electronic phenotyping validation (N=3104). We evaluated the accuracy, duration and cost of manual chart review with and without the availability of electronic phenotyping results, including relevant patient-specific details. The cost of identification of an erroneous electronic phenotyping result was calculated based on the personnel time required for the initial chart review and subsequent adjudication of discrepancies between manual chart review results and electronic phenotype determinations. ResultsProviding electronic phenotyping results (vs not providing those results) was associated with improved overall accuracy of manual chart review (98.90% vs 92.46%, p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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