Key Takeaways
- Data Access: Gain immediate access to comprehensive medical histories, demographics, and clinical diagnoses.
- Efficiency: Accelerate recruitment timelines through automated screening and identification of eligible participants.
- Retention: Improve patient engagement and trust through personalized communication based on EMR insights.
- Data Integrity: Reduce manual entry errors and missing data points by integrating real-time patient records.
Accessing structured patient data at scale
EMR retrieval provides access to structured, longitudinal patient data, including clinical diagnoses, medication history, and relevant biomarker or phenotypic records, held across healthcare systems that would not otherwise be accessible through standard recruitment channels.
These records provide a comprehensive view of the patient, including:
- Up-to-date medical histories
- Demographic details
- Clinical diagnoses
By querying structured clinical records against protocol-defined eligibility criteria, teams can identify potential participants before they reach the site. This can help reduce both screen failure rates and the burden placed on clinical staff.
This targeted approach minimizes time and effort spent prescreening unsuitable candidates. In turn, EMR retrieval can improve patient experience by limiting the number of patients who go through the prescreening process and are found ineligible.
Reduce screening burden and enrollment risk
Traditional patient recruitment methods can be time-consuming and resource-intensive, often relying on:
- Media outreach and advertisements
- Manual healthcare provider referrals
- Extensive manual prescreening
EMR retrieval allows for automated screening and identification of eligible patients based on predefined criteria. Automated screening against predefined criteria reduces the time teams spend manually reviewing unsuitable candidates, which lowers the risk of delays caused by insufficient enrollment pipelines. Using EMR retrieval lets researchers optimize their recruitment strategy, reducing the staff time and resources spent on manual chart review and outreach to ineligible patients.
Improve patient retention and engagement
Engaging and retaining participants throughout a clinical trial is one of the most common sources of protocol deviation and dropout risk. According to Advarra industry benchmark data, researchers typically need to identify an average of about 10 patients to randomize one. Where clinical history is available at the point of recruitment, trial teams can tailor outreach and follow-up to a participant's specific diagnosis, treatment background, and likely concerns. This ultimately reduces the gap between generic trial communication and what is actually relevant to the individual.
Having an understanding of patients' medical histories and conditions means trial teams can tailor their approach, providing relevant information and addressing individual concerns more effectively. This personalized engagement builds trust, enhances patient satisfaction and improves retention rates, leading to more robust study outcomes.
How EMR retrieval reduces data errors and supports trial integrity
Having accurate and reliable data collection is also essential for the validity and credibility of clinical trial results. EMR retrieval lets researchers integrate real-time patient data directly into the trial database, minimizing the risk of errors and inconsistencies that can come with manual data entry. EMR retrieval, when implemented in compliance with applicable data protection frameworks such as HIPAA and GDPR, allows trial teams to integrate real-time patient data with a clear chain of governance.
This streamlined process enhances data quality and reduces missing data points, improving the integrity of study findings. Integrating real-world clinical data into a trial workflow introduces both opportunity and obligation. When structured correctly — with appropriate patient consent, data governance, and audit trails — EMR retrieval reduces reliance on self-reported eligibility data and improves the accuracy of baseline clinical characterisation. This matters particularly in genetically stratified studies, where the precision of eligibility criteria directly affects cohort composition and downstream data validity.
Conclusion
Ultimately, integrating EMR retrieval into your clinical trial patient recruitment strategy offers many advantages. It enables more targeted screening, reduces prescreening of ineligible patients, supports more consistent participant engagement, and improves the accuracy of data collected throughout the trial.
To learn how Sano can help integrate EMR retrieval into your trial recruitment strategy, get in touch.