OVERVIEW

Deploying AI for Critical Care: Learning to Make a Difference is organized by University of Illinois at Chicago (UIC) College of Pharmacy.

Release Date: October 24, 2024
Expiration Date: October 24, 2026

Learning Objectives:

  • Discuss the importance of early detection of clinical deterioration
  • Describe what machine learning and AI are and how they are relevant to clinical medicine
  • Describe how machine learning approaches can be implemented to detect critical illness
Credits

Continuing Education Statement:
The UIC Retzky College of Pharmacy is accredited by the Accreditation Council for Pharmacy Education (ACPE) as a provider of continuing pharmacy education. This activity has been assigned an ACPE Universal for 1.0 contact hours (0.1 CEUs). Reading the learning objectives and faculty disclosures; participating in the entire knowledge-based activity, active learning activity, post-test, and activity evaluation; estimating the duration of time spent on the activity; and submitting NABP eProfile ID and MMDD are prerequisites for receiving continuing pharmacy education credits. All ACPE credit awarded to participants must be uploaded to CPE Monitor ™ within 30 days of the activity date, so pharmacists are required to provide their eProfile ID and date of birth (MMDD) at the time of the activity.

  • 1 Contact Hours
  • 0.1 CEUs
  • TARGET AUDIENCE

    Pharmacist

    SPECIALITIES

    Critical Care Medicine

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