Friend or Foe: Lessons from Implementing Nurse-Driven AI

Author(s): Kenrick D Cato, PhD, RN, CPHIMS, FAAN, FACMI

Contact Hours 1.00

CERP B 1.00

Expires Dec 31, 2027

Topics: Technology

Population: Not Applicable (non-clinical topics)

Role: APRN, Staff

Fees
Member: Free
NonMember: $10.00

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Activity Summary

This presentation describes the work underway to develop AI-based clinical decision support as well as lessons being learned from that work, including demographic level bias. Additionally, Dr. Kenrick Cato discusses emerging AI technologies intended to improve nursing work in the inpatient setting, including work to reduce the burden of documentation. Finally, Dr. Cato discusses whether, overall, is AI helpful, hurtful or both.

Objectives

  • Identify the current innovations in AI for nurses.
  • Describe ways in which AI may be biased.
  • Discuss the role of nurses in AI.

Continuing Education Disclosure Statement

Criteria for Awarding Contact Hours

Learners must complete the entire activity and the associated evaluation. No partial credit will be awarded.

Accreditation

American Association of Critical-Care Nurses is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center's Commission on Accreditation.
Provider approved by the California Board of Registered Nursing, Provider number CEP 1036, for {contactHours} contact hours.

Refund Policy

Continuing Education Activities are nonrefundable.