AI prescription pilot program

by Utah Medical Licensing Board  · Based in United States → — Exploring the use of AI in prescription processes for enhanced safety and efficiency.
Family Medicine Hospital Medicine Internal Medicine

Regulatory Status Disclosed

Overview

The Utah Medical Licensing Board (UMLB) has launched an AI prescription pilot program, a pioneering initiative aimed at evaluating the integration of artificial intelligence into the prescription workflow. This program is designed to explore how AI technologies can enhance the safety, accuracy, and efficiency of prescribing practices within the state of Utah.

The pilot focuses on understanding the capabilities and limitations of AI in tasks such as drug interaction checks, dosage recommendations, patient adherence monitoring, and identifying potential prescription errors. By leveraging AI, the UMLB seeks to provide physicians with advanced tools that can support clinical decision-making and ultimately improve patient outcomes.

Physicians participating in this pilot will have the opportunity to engage with cutting-edge AI systems, providing valuable feedback that will shape the future of AI in medical practice. The program also aims to establish best practices and regulatory frameworks for the responsible and ethical deployment of AI in healthcare, ensuring patient safety and data privacy remain paramount.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered drug interaction checks
  • Dosage recommendation support
  • Potential prescription error identification
  • Patient adherence monitoring
  • Clinical decision support

Use Cases

  • Enhancing prescription safety
  • Improving prescribing accuracy
  • Streamlining prescription workflows
  • Supporting physician decision-making
  • Establishing AI regulatory frameworks

Details

Category Pharmacology & Dosing AI
Pricing Unknown
Mobile AppNone
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Not applicable AI-estimated
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

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Suggest an Edit → | Report an issue | Last Verified: 2026-10-28 | First Added: 2026-10-28
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