Artificial Intelligence, Healthcare, and Evaluation: Altering the Landscape

David Fetterman and David Fetterman ()
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David Fetterman: Fetterman and Associates and Claremont Graduate University
David Fetterman: Northwestern University

A chapter in Handbook of Health Services Evaluation, 2025, pp 413-433 from Springer

Abstract: Abstract Artificial intelligence (AI) has altered the healthcare and evaluation landscapes, offering benefits from time efficiency to increased accuracy and productivity. AI-related healthcare improvements range from increased diagnostic accuracy to more face time with patients and insight into patients’ medical needs. It has helped to build patient- and community-based healthcare evaluation capacity; helping individuals and communities become more self-determined concerning their health. Simultaneously, AI is transforming the field of evaluation, increasing evaluator’s efficiency and precision. These synergistic changes are taking place in a rapidly evolving environment, making it imperative that AI healthcare products and services be continually evaluated. In addition, regulatory agencies need to be informed about AI-related developments in the healthcare and evaluation arena to help them appropriately guide and monitor these developments and innovations.

Keywords: Artificial intelligence; Healthcare; Evaluation; GPTs; Large language models; Bias (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-87869-5_22

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DOI: 10.1007/978-3-031-87869-5_22

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