Add like
Add dislike
Add to saved papers

Electronic Health Record Algorithm Development for Research Subject Recruitment Using Colonoscopy Appointment Scheduling.

INTRODUCTION: Electronic health records (EHRs) are often leveraged in medical research to recruit study participants efficiently. The purpose of this study was to validate and refine the logic of an EHR algorithm for identifying potentially eligible participants for a comparative effectiveness study of fecal immunochemical tests (FITs), using colonoscopy as the standard.

METHODS: An Epic report was built to identify patients who met the eligibility criteria to recruit patients having a screening or surveillance colonoscopy. With the goal of maximizing the number of potentially eligible patients that could be recruited, researchers, with the assistance of information technology and scheduling staff, developed the algorithm for identifying potential subjects in the EHR. Two validation methods, descriptive statistics and manual verification, were used.

RESULTS: The algorithm was refined over 3 iterations leading to the following criteria being used for generating the report: Age, Appointment Made On/Cancel Date, Appointment Procedure, Contact Type, Date Range, Encounter Departments, ICD-10 codes, and Patient Type. Appointment Serial Number/Contact Serial Number were output fields that allowed the tracking of cancellations and reschedules.

CONCLUSION: Development of an EHR algorithm saved time in that most individuals ineligible for the study were excluded before patient medical record review. Running daily reports that included cancellations and rescheduled appointments allowed for maximum recruitment in a time frame appropriate for the use of the FITs. This algorithm demonstrates that refining the algorithm iteratively and adding cancellations and reschedules of colonoscopies increased the accuracy of reaching all potential patients for recruitment.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app