Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI).

Journal: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
PMID:

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.

Authors

  • Jamie Elvidge
    National Institute for Health and Care Excellence (NICE), England, UK. Electronic address: jamie.elvidge@nice.org.uk.
  • Claire Hawksworth
    National Institute for Health and Care Excellence (NICE), England, UK.
  • Tuba Saygın Avşar
    National Institute for Health and Care Excellence (NICE), England, UK.
  • Antal Zemplenyi
    Syreon Research Institute, Budapest, Hungary.
  • Anastasia Chalkidou
    King's Technology Evaluation Centre, King's College London, London, UK. Electronic address: anastasia.chalkidou@nice.org.uk.
  • Stavros Petrou
    Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England, UK.
  • Zsuzsanna Petykó
    Syreon Research Institute, Budapest, Hungary.
  • Divya Srivastava
    Department of Health Policy, London School of Economics and Political Science, London, England, UK.
  • Gunjan Chandra
    Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland.
  • Julien Delaye
    EURORDIS, Brussels, Belgium.
  • Alastair Denniston
    Health Data Research UK, London, United Kingdom; Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom; Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, United Kingdom; NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
  • Manuel Gomes
    Health Economics, UCL, London, England, UK.
  • Saskia Knies
    National Health Care Institute, Diemen, Netherlands.
  • Petros Nousios
    Dental and Pharmaceutical Benefits Agency (TLV), Stockholm, Sweden.
  • Pekka Siirtola
    Biomimetics and Intelligent Systems Group, University of Oulu, P.O. BOX 4500, FI-90014 Oulu, Finland.
  • Junfeng Wang
    Department of Colorectal Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin, China.
  • Dalia Dawoud
    National Institute for Health and Care Excellence, London, United Kingdom; Cairo University, Faculty of Pharmacy, Cairo, Egypt.