Feasibility Of Utilizing Longitudinal Electronic Dental Record Data to Track Periodontal Disease Change

Autor: Jay S. Patel, Krishna Kumar, Ahad Zai, Daniel Shin, Lisa Willis, Thankam P. Thyvalikakath
Rok vydání: 2023
Předmět:
DOI: 10.20944/preprints202301.0363.v1
Popis: Objective: Determine the feasibility of utilizing longitudinal electronic dental record (EDR) data to track change over time in patient periodontal disease (PD) and to generate three patient cohorts: 1) patients whose disease did not change over time, 2) patients whose PD progressed, and 3) patients whose disease improved over time using informatics approaches. Methods: We conducted a retrospective study of 28,908 patients who received a comprehensive oral evaluation between January 1, 2009, and December 31, 2014, at the Indiana University School of Dentistry (IUSD) clinics. We developed and tested three automated computer applications to: 1) diagnose periodontitis cases from periodontal charting, 2) retrieve clinician-documented diagnoses from clinical notes, and 3) track disease change over time. We also evaluated the density of longi-tudinal EDR data for the following follow-up times: 1) none, 2) up to 5 years, 3) >5 and 10 and
Databáze: OpenAIRE