Identifying Patients' Smoking Status from Electronic Dental Records Data

Jay Patel; Zasim Siddiqui; Anand Krishnan; Thankam Thyvalikakath

Identifying Patients' Smoking Status from Electronic Dental Records Data

Stud Health Technol Inform. 2017:245:1281.

Authors

Jay Patel¹, Zasim Siddiqui¹, Anand Krishnan¹, Thankam Thyvalikakath¹

Affiliation

¹ Indiana University School of Dentistry, Indianapolis, IN, USA.

PMID: 29295366

Abstract

Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's current smoking status and tobacco dependency can aid clinical decision making and treatment planning. The free-text nature of this data limits accessibility causing obstacles during the time of care and research utility. No studies exist on extracting patient's smoking status automatically from the Electronic Dental Record. This study reports the development and evaluation of an NLP system for this purpose.

Keywords: Clinical Decision-Making; Dental Records; Smoking.

MeSH terms

Data Mining
Dental Records*
Electronic Health Records*
Humans
Natural Language Processing*
Risk Factors
Smoking*
Tobacco Use Disorder / diagnosis*