Using machine intelligence to prevent medication errors in pharmacies

Preventing medication dispensing errors in pharmacy practice with interpretable machine intelligence

NIH-funded research University of Michigan at Ann Arbor · NIH-10814211

This study is looking at how smart technology can help pharmacists double-check prescriptions to make sure you get the right medication, making the process safer for everyone.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Michigan at Ann Arbor NIH-funded
Lab location1 site (Ann Arbor, United States)
Project IDNIH-10814211 on NIH RePORTER

What this research studies

This research focuses on reducing medication dispensing errors in pharmacies by utilizing machine intelligence (MI) to assist pharmacists in verifying prescriptions. The approach involves developing MI systems that can interpret and convey information effectively, helping pharmacists make better decisions and maintain trust in the technology. By addressing the cognitive demands placed on pharmacists, the goal is to minimize the risk of incorrect medications being dispensed, which can lead to patient harm. The study aims to create a safer medication dispensing process through innovative technology.

Who could benefit from this research

Good fit: Ideal candidates for this research include patients who are prescribed medications and may be at risk of receiving incorrect prescriptions due to pharmacy errors.

Not a fit: Patients who do not take medications or those who receive their prescriptions from automated dispensing systems may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly reduce the number of medication errors, improving patient safety and healthcare outcomes.

How similar studies have performed: Other research has shown promise in using machine intelligence to enhance decision-making in healthcare, indicating potential success for this approach.

Where this research is happening

Ann Arbor, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
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Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.