Look Before You Leap: Insights On The Implementation Of Ai Across Healthcare Settings

Shilo Anders, Laura G. Militello, Yuval Bitan, Megan E. Salwei, Raj Ratwani, Elizabeth Lerner Papautsky

Research output: Contribution to journalConference articlepeer-review


The prevalence of artificial intelligence (AI) is rapidly growing across industries including in health care. AI has the potential to improve patient safety (e.g., diagnostic error) and reduce clinician workload (e.g., documentation burden) and healthcare costs. Yet, many questions remain about how clinicians will interact with and use AI to support their work and how these technologies will impact clinician workflow, decision-making, and teamwork. It is also uncertain how patients will interact with AI, with a recent report suggesting 60 percent of US adults are uncomfortable with their health care providers using AI. In this panel, we will discuss AI applications across differing health care contexts and describe how AI influences clinician (and patient) workflows. We will outline considerations for the design and implementation of AI-based technologies in health care and needed areas of future research.

Original languageEnglish
Pages (from-to)589-592
Number of pages4
JournalProceedings of the Human Factors and Ergonomics Society
Issue number1
StatePublished - 1 Jan 2023
Event67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023 - Columbia, United States
Duration: 23 Oct 202327 Oct 2023


  • Artificial intelligence
  • Health care
  • Implementation
  • Teamwork

ASJC Scopus subject areas

  • Human Factors and Ergonomics


Dive into the research topics of 'Look Before You Leap: Insights On The Implementation Of Ai Across Healthcare Settings'. Together they form a unique fingerprint.

Cite this