Ombuds AI.

Journal: Healthcare quarterly (Toronto, Ont.)
Published Date: Jan 1, 2024

Abstract

The integration of artificial intelligence (AI) offers the promise of developing open-source frameworks and tools that incorporate social and behavioural determinants of health data, thereby fostering an empirical understanding of the causal factors behind patient complaints. Through comprehensive complaint capture and analysis, "Ombuds AI" has the potential to realize the vision of delivering equitable, high-quality and sustainable healthcare.

Authors

  • Neil Seeman
    The chief executive officer of the publishing firm Sutherland House Experts. He is a senior fellow at the Institute of Healthcare Policy, Management and Evaluation and at Massey College at the University of Toronto in Toronto, ON. He is a Fields Institute fellow and senior academic advisor to the Investigative Journalism Bureau at the Dalla Lana School of Public Health at the University of Toronto.

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