Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI)
Year: 2024
Type: article
Abstract: OBJECTIVES: Economic evaluations (EEs) are commonly used by decision makers to understand the value of health interventions. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS 2022) provide reporting guidelines for EEs. Healthcare systems will increasingly see new interventions that use artificial intelligence (AI) to perform their function. We developed Consolidated Health Economic Evaluation Reporting Standards for Interventions that use AI (CHEERS-AI) to ensure EEs of AI-based health interventions are reported in a transparent and reproducible manner. METHODS: Potential CHEERS-AI reporting items were informed by 2 published systematic literature reviews of EEs and a contemporary update. A Delphi study was conducted using 3 survey rounds to elicit multidisciplinary expert views on 26 potential items, through a 9-point Likert rating scale and qualitative comments. An online consensus meeting was held to finalize outstanding reporting items. A digital health patient group reviewed the final checklist from a patient perspective. RESULTS: A total of 58 participants responded to survey round 1, 42, and 31 of whom responded to rounds 2 and 3, respectively. Nine participants joined the consensus meeting. Ultimately, 38 reporting items were included in CHEERS-AI. They comprised the 28 original CHEERS 2022 items, plus 10 new AI-specific reporting items. Additionally, 8 of the original CHEERS 2022 items were elaborated on to ensure AI-specific nuance is reported. CONCLUSIONS: CHEERS-AI should be used when reporting an EE of an intervention that uses AI to perform its function. CHEERS-AI will help decision makers and reviewers to understand important AI-specific details of an intervention, and any implications for the EE methods used and cost-effectiveness conclusions.
Source: Value in Health
Authors: Jamie Elvidge, Claire Hawksworth, Tuba Saygın Avşar, Antal Zemplenyi, Anastasia Chalkidou, Stavros Petrou, Zsuzsanna Petykó, Divya Srivastava, Gunjan Chandra, Julien Delaye, Alastair Denniston, Manuel Gomes, Saskia Knies, Petros Nousios, Pekka Siirtola, Junfeng Wang, Dalia Dawoud, Sylvie Arbour, Carl Asche, Carolyn Ashurst, Laszlo Balkanyi, Hayley Bennett, Gerzson Boros, Rebecca Boyce, Chris Carswell, Nathorn Chaiyakunapruk, Jagpreet Chhatwal, Oriana Ciani, Gary Collins, David Dawson, David Vanness, Rossella Di Bidino, Susan Faulding, Federico Felizzi, Madeleine Haig, James Hawkins, Mikaël Hiligsmann, Annette Willemoes Holst-Kristensen, Julian Isla, Erik Koffijberg, Alexander Kostyuk, Noemi Krief, Dawn Lee, Karen Lee, Douglas Lundin, Katarzyna Markiewicz-Barreaux, Josephine Mauskopf, Karel Moons, Bertalan Németh, Guenka Petrova, Raoh-Fang (Jasmine) Pwu, Juan Carlos Rejon-Parrilla, Gabriel Rogers, Chris Sampson, Astrid Aaen Springborg, Lotte Steuten, Eric Sutherland, Jaakko Suutala, Daniel Theisen, Alexander Thompson, Lisette van Gemert-Pijnen, Thomas Walker, Ed Wilson
Institutions: National Institute for Health and Care Excellence, Syreon Research Institute (Hungary), University of Colorado Anschutz, University of Pecs, University of Oxford, London School of Economics and Political Science, University of Oulu, European Organisation for Rare Diseases, University of Birmingham, University College London, Zorginstituut Nederland, Utrecht University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,200
OpenAlex ID: W4398615623