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Related Experiment Videos

Computerized recruiting for clinical trials in real time.

Debra L Weiner1, Atul J Butte, Patricia L Hibberd

  • 1Division of Emergency Medicine, the Children's Hospital Informatics Program, Children's Hospital Boston, Boston, MA, USA. weiner_d@tch.harvard.edu

Annals of Emergency Medicine
|January 28, 2003
PubMed
Summary

An automated notification system significantly improved clinical trial recruitment by increasing investigator notification rates in the emergency department. This system enhances patient identification for timely study enrollment.

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Area of Science:

  • Clinical Research
  • Health Informatics
  • Emergency Medicine

Background:

  • Prospective studies, especially in emergency departments (EDs), require rapid patient identification for timely sample collection and intervention.
  • Efficient patient identification is crucial for the success of clinical trials and research studies.

Purpose of the Study:

  • To evaluate the effectiveness of a real-time automated notification system for identifying potential clinical trial patients.
  • To compare the automated system's notification rate against traditional methods used by emergency department clinicians.

Main Methods:

  • A prospective comparative study was conducted.
  • The study compared notification rates between an automated system and ED clinicians.

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Main Results:

  • Before the automated system, investigators were notified for 56% of eligible patients (61 total).
  • After implementing the automated system, investigators were notified for 84% of eligible patients (49 total).

Conclusions:

  • The automated notification system substantially improves the rate of study investigator notification.
  • This system is a valuable tool for clinical trial patient recruitment, requiring integrated registration, database, and paging systems.