Chaudhry, Rajeev | Digital Healthcare Research

Improving the accuracy of a clinical decision support system for cervical cancer screening and surveillance.

Citation

Ravikumar KE, MacLaughlin KL, Scheitel MR, et al. Improving the accuracy of a clinical decision support system for cervical cancer screening and surveillance. Appl Clin Inform 2018 Jan;9(1):62-71. Epub 2018 Jan 24. PMID: 29365341.

Principal Investigator

Chaudhry, Rajeev

Project Name

NLP-enabled Decision Support for Cervical Cancer Screening and Surveillance

Impact of patient reminders on papanicolaou test completion for high-risk patients identified by a clinical decision support system.

Citation

MacLaughlin KL, Kessler ME, Komandur Elayavilli R, et al. Impact of patient reminders on papanicolaou test completion for high-risk patients identified by a clinical decision support system. J Womens Health (Larchmt) 2018 Jan 3. doi: 10.1089/jwh.2017.6667. [Epub ahead of print]. PMID: 29297754.

Principal Investigator

Chaudhry, Rajeev

Project Name

NLP-enabled Decision Support for Cervical Cancer Screening and Surveillance

NLP-enabled Decision Support for Cervical Cancer Screening and Surveillance - Final Report

Citation

Chaudhry R. NLP-enabled Decision Support for Cervical Cancer Screening and Surveillance - Final Report. (Prepared by Mayo Clinic under Grant No. R21 HS022911). Rockville, MD: Agency for Healthcare Research and Quality, 2017.

Principal Investigator

Chaudhry, Rajeev

Project Name

NLP-enabled Decision Support for Cervical Cancer Screening and Surveillance

Description

This project created a natural language processing-enabled clinical decision support system to pull patient information and determine recommendations for cervical cancer screening, and demonstrated improvement in overall screening and surveillance rates.

Grant Number

R21 HS022911

Principal Investigator(s)

Chaudhry, Rajeev