Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records

Jay Patel, Danielle Mowery, Anand Krishnan, Thankam Thyvalikakath

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Dentists are more often treating patients with Cardiovascular Diseases (CVD) in their clinics; therefore, dentists may need to alter treatment plans in the presence of CVD. However, it's unclear to what extent patient-reported CVD information is accurately captured in Electronic Dental Records (EDRs). In this pilot study, we aimed to measure the reliability of patient-reported CVD conditions in EDRs. We assessed information congruence by comparing patients' self-reported dental histories to their original diagnosis assigned by their medical providers in the Electronic Medical Record (EMR). To enable this comparison, we encoded patients CVD information from the free-text data of EDRs into a structured format using natural language processing (NLP). Overall, our NLP approach achieved promising performance extracting patients' CVD-related information. We observed disagreement between self-reported EDR data and physician-diagnosed EMR data.

Original languageEnglish (US)
Pages (from-to)1442-1450
Number of pages9
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2018
StatePublished - Jan 1 2018

    Fingerprint

ASJC Scopus subject areas

  • Medicine(all)

Cite this