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Extraction and Evaluation of Medication Data from Electronic Dental Records
Yue Wang1, Zasim Siddiqui1, Anand Krishnan1
1Dental Informatics Core, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
As the geriatric population grows, dental professionals increasingly see patients on multiple medications. This study created a system to extract medication data from electronic dental records, showing patient medication counts.
Area of Science:
- Geriatric Medicine
- Dental Informatics
Background:
- The aging global population presents unique challenges in healthcare.
- Older adults often manage multiple chronic conditions (comorbidities) requiring polypharmacy.
- Dental care professionals encounter patients on numerous medications affecting oral health outcomes.
Purpose of the Study:
- To develop an automated system for extracting medication information from electronic dental records (EDRs).
- To analyze the distribution of patients based on the number of medications they are prescribed.
- To support better clinical decision-making in geriatric dental care.
Main Methods:
- Implementation of a data extraction system tailored for EDRs.
- Analysis of extracted medication data to categorize patients by medication count.
- System validation for accuracy in identifying and quantifying patient medications.
Main Results:
- Successful development of a system capable of extracting medication data from EDRs.
- Characterization of patient populations by the quantity of prescribed medications.
- Identification of patient cohorts with high medication burdens.
Conclusions:
- The developed system effectively extracts crucial medication information from EDRs.
- Understanding patient medication counts is vital for geriatric dental practice.
- This tool can enhance patient safety and care coordination in dentistry.
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