Assessment of Real-Time Natural Language Processing for Improving Diagnostic Specificity: A Prospective, Crossover Exploratory Study.

Journal: Applied clinical informatics

PMID: 39778597

Abstract

BACKGROUND: Reliable, precise, timely, and clear documentation of diagnoses is difficult. Poor specificity or the absence of diagnostic documentation can lead to decreased revenue and increased payor denials, audits, and queries to providers. Nuance's Dragon Medical Advisor (DMA) is a computer-assisted physician documentation (CAPD) product. Natural language processing is used to present real-time advice on diagnostic specificity during documentation.

Authors

Atin Jindal

Division of Hospital Medicine, Brown University Health, Miriam Hospital, Providence, Rhode Island, United States.
Jill O'Brien

Division of Hospital Medicine, Brown University Health, Miriam Hospital, Providence, Rhode Island, United States.
Sarah B Andrea

Division of Hospital Medicine, Lifespan BERD Core, Rhode Island Hospital, Providence, Rhode Island, United States.
Richard Gillerman

Division of Hospital Medicine, Brown University Health, Miriam Hospital, Providence, Rhode Island, United States.

Keywords

Cross-Over Studies Diagnosis Documentation Electronic Health Records Humans Natural Language Processing Prospective Studies Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (39778597)

Assessment of Real-Time Natural Language Processing for Improving Diagnostic Specificity: A Prospective, Crossover Exploratory Study.

Abstract

Authors

Keywords

External Resources

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