Randomised studies in general practice: how to integrate the electronic patient record

Area of Science:

• Health Informatics
• Clinical Trial Methodology
• Epidemiology

Background:

• The randomized database study strategy, proposed in 1997, aimed to merge observational study generalizability with randomized clinical trial validity.
• This strategy involves randomizing treatments and utilizing routine care data from electronic patient records (EPRs) for patient identification and follow-up.
• Despite its conceptual advantages, the randomized database study approach has remained largely unimplemented.

Purpose of the Study:

• To introduce a novel software system designed to facilitate the implementation and evaluation of the randomized database study approach.
• To address the methodological challenges in conducting randomized studies within observational databases.

Main Methods:

• Development of a software system integrated with electronic patient records (EPRs).
• The system identifies eligible subjects and guides physicians through an interactive recruitment and randomization process.
• Patient follow-up is seamlessly integrated into routine care documentation within the EPR.

Main Results:

• The developed software system provides a practical tool for conducting randomized studies using observational databases.
• It automates patient identification, recruitment, and randomization, streamlining the process for general practitioners.
• The system facilitates follow-up through routine EPR data capture.

Conclusions:

• The software system offers a viable solution for implementing and testing the long-standing randomized database study strategy.
• This facilitates the combination of real-world data generalizability with the rigor of randomized clinical trials.
• Further evaluation of this approach is warranted to fully realize its potential in clinical research.