AI, Data Science and Predictive Analytics: Hype, Hope and How to Help Our Patients

Activity Summary

Required reading for all learners: Implicit Bias impacts patient outcomes

Generative artificial intelligence (such as ChatGPT) and big-data methods are helping us gain new insights. From creating human-like responses to predicting deterioration, data’s ability to inform care is enormous. This session explores the field of healthcare AI with an emphasis on acute care. We cover data analysis, software, and finding resources to enhance one’s knowledge of predictive analytics. Participants leave more comfortable reading, discussing and critiquing AI applications.

Objectives

Define big data, artificial intelligence, data science, and predictive analytics.
List at least three uses of big-data applications for improving care quality and patient outcomes.
Identify resources for expanding knowledge of artificial intelligence.

Continuing Education Disclosure Statement

Criteria for Awarding Contact Hours

Learners must complete the entire activity and the associated evaluation AND read Implicit Bias impacts patient outcomes. 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.

Disclosures

The Nurse Planner has determined that no individuals with the ability to control content of this activity have relevant relationships with ineligible companies.

Activities with pharmacotherapeutic credit are to assist the APRN in fulfilling their education requirements for licensure and certification renewals.

Refund Policy

Continuing Education Activities are nonrefundable.