SCCM Resource Library-AI for Augmenting Nurse Recognition of Patient Decline

Video Transcription

Video Summary

In this video, Cheryl Hiddleston, the director of the Emory EICU program, discusses the challenges of using AI to augment nurse recognition of patient decline. She highlights the importance of considering the human element in developing these tools and emphasizes the need for nurses to understand the science behind the algorithms. Nurses also express concerns about the trustworthiness of data inputs and the integration of AI tools with the electronic medical record. Hiddleston suggests that a collaborative approach between nurse experts and AI teams can help alleviate the burden on bedside nurses and improve patient care.

Asset Subtitle

Quality and Patient Safety, Professional Development and Education, 2022

Asset Caption

This session will explore the potential for artificial intelligence (AI) to augment critical care. Speakers will introduce relevant concepts using terms and examples that are familiar to critical care professionals, describe state-of-the-art applications of AI in critical illness, identify barriers to real-time clinical implementation of these applications, and propose desiderata for ideal algorithms.

Meta Tag

Content Type Presentation

Knowledge Area Quality and Patient Safety

Knowledge Area Professional Development and Education

Knowledge Level Intermediate

Knowledge Level Advanced

Membership Level Select

Tag Evidence Based Medicine

Tag Innovation

Year 2022

Keywords

Cheryl Hiddleston

Emory EICU program

AI

nurse recognition

patient decline

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