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Use of Patient-Specific Information for Randomization in Clinical Research: A Randomized Trial.

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This study validates using electronic medical record randomization methods (EMRRM) for pragmatic trials. Patient ID-based randomization effectively assigns patients to study groups, ensuring trial integrity.

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Area of Science:

  • Clinical Research Methodology
  • Health Informatics
  • Biostatistics

Background:

  • Technology companies utilize A/B testing for product optimization through automated experiments.
  • Pragmatic trials in medicine mirror this by conducting experiments alongside routine patient care.
  • Effective randomization is crucial for the validity of pragmatic clinical trials.

Purpose of the Study:

  • To assess the effectiveness of using patient-specific information for randomizing participants into study groups.
  • To validate an electronic medical records-based randomization method (EMRRM) for pragmatic trials.

Main Methods:

  • Developed an EMRRM utilizing the parity of encounter identification (ID) and patient ID numbers for group assignment.
  • Retrospectively applied the EMRRM to outpatient, inpatient, and emergency department patient data.
  • Assessed randomization quality using the National Institute of Standards and Technology (NIST) statistical package and A/A testing for group similarity.

Main Results:

  • Both encounter ID and patient ID methods passed 10 or 11 out of 11 applicable NIST randomness tests across all clinical settings.
  • A/A testing confirmed that both methods successfully randomized patients into groups with comparable demographics, lab results, length of stay, and admission rates.

Conclusions:

  • Validated the use of encounter ID and patient ID-based EMRRMs for pragmatic studies.
  • Patient information-based EMRRM provides a reliable method for automatic random study group assignments in pragmatic trials.