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Technological Adjuncts to Streamline Patient Recruitment, Informed Consent, and Data Management Processes in Clinical

Jodie Koh1, Stacey Caron2, Amber N Watters2,3

  • 1Kellogg School of Management, Northwestern University, Evanston, IL, United States.

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|January 29, 2025
PubMed
Summary

Technological advancements streamline clinical research by automating patient recruitment and data management. This approach enhances participant reach and study completion rates while reducing manual labor and operational disruptions.

Keywords:
automationclinical research methodsclinical research processesconsentdata managementdata warehousedigital healthdigital platformsimaging datapatient datapatient recruitmentpregnancytechnological adjuncts

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Area of Science:

  • Clinical research informatics
  • Biomedical data science
  • Health services research

Background:

  • Clinical research is often hindered by laborious patient recruitment and data management processes.
  • Technological innovations offer solutions to optimize these critical research components.
  • Improving efficiency can lead to higher clinical study completion rates.

Purpose of the Study:

  • To demonstrate how technology can enhance clinical research processes.
  • To showcase the use of automation and digital integration in research workflows.
  • To highlight the benefits of technological adjuncts in clinical research.

Main Methods:

  • Utilized an enterprise data warehouse (EDW) for automated identification of eligible participants.
  • Employed Research Electronic Data Capture (REDCap) for digital consent and data management.
  • Implemented a secure, Health Insurance Portability and Accountability Act-compliant server for data handling.
  • Used QR codes for seamless data collection, integration, and linkage with electronic medical records.

Main Results:

  • Automated queries identified 20,988 eligible patients over 19 months.
  • 1000 patients (9.45%) consented to participate after receiving personalized invitations.
  • 549 unique patients completed 779 study visits, with some participating across multiple time periods.

Conclusions:

  • Technological adjuncts significantly reduce manual labor in clinical research.
  • Automation and digital integration expand participant reach and optimize recruitment.
  • Streamlined processes minimize disruptions to clinic operations and improve study efficiency.