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

Jay Patel, Danielle Mowery, Anand Krishnan, Thankam Paul Thyvalikakath

Research output: Contribution to journalArticle

1 Citation (Scopus)

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

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Dental Records
Electronic Health Records
Cardiovascular Diseases
Natural Language Processing
Dentists
Tooth
Physicians

ASJC Scopus subject areas

  • Medicine(all)

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Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records. / Patel, Jay; Mowery, Danielle; Krishnan, Anand; Thyvalikakath, Thankam Paul.

In: AMIA ... Annual Symposium proceedings. AMIA Symposium, Vol. 2018, 01.01.2018, p. 1442-1450.

Research output: Contribution to journalArticle

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