Prediction of Electronic Health Record Documentation Compliance Using Machine Learning.
A critical aspect of a high-quality continuum of patient care is health record documentation. Prediction of poor documentation of electronic health records (EHRs) will help identify physicians who may need early communication to ensure their compliance. Machine learning (ML), a subfield of artificia...
| Publicado en: | Perspectives in Health Information Management Vol. 20; no. 3; pp. 6 - 7 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Health Information Management Association
Summer/Fall2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | A critical aspect of a high-quality continuum of patient care is health record documentation. Prediction of poor documentation of electronic health records (EHRs) will help identify physicians who may need early communication to ensure their compliance. Machine learning (ML), a subfield of artificial intelligence, can be used to predict which physicians are non-compliant with health record documentation in an effort to provide high- quality healthcare in the continuum of care and treatment. |
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