open access publication

Editorial Material, 2023

The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision

HEALTH POLICY, ISSN 0168-8510, 0168-8510, Volume 136, 10.1016/j.healthpol.2023.104889

Contributors

Cresswell, Kathrin 0000-0001-6634-9537 (Corresponding author) [1] Rigby, Michael 0000-0003-1342-6177 [2] [3] Magrabi, Farah 0000-0002-8426-5588 [4] Scott, Philip 0000-0002-6289-4260 [5] Brender, J. [6] Craven, Catherine K. [7] [8] Wong, Zoie S. Y. 0000-0003-4499-9779 [9] Kukhareva, Polina 0000-0002-5576-1486 [10] [11] Ammenwerth, Elske 0000-0002-3244-6918 [12] Georgiou, Andrew 0000-0002-7619-3668 [4] [5] Medlock, Stephanie 0000-0002-2679-8095 [13] [14] Keizer, Nicolette F. De [13] [14] Nykanen, Pirkko [15] Prgomet, Mirela 0000-0001-5629-3680 [4] Williams, Robin [1]

Affiliations

  1. [1] Univ Edinburgh, Inst Study Sci Technol & Innovat, Edinburgh, Scotland
  2. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [2] Keele Univ, Sch Social Polit & Global Studies, Keele, England
  4. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  5. [3] Sch Primary Community & Social Care, Keele, England
  6. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  7. [4] Macquarie Univ, Australian Inst Hlth Innovat, Sydney, Australia
  8. [NORA names: Australia; Oceania; OECD];
  9. [5] Univ Wales Trinity St David, Swansea, Wales
  10. [NORA names: United Kingdom; Europe, Non-EU; OECD];

Abstract

Despite the renewed interest in Artificial Intelligence-based clinical decision support systems (AI-CDS), there is still a lack of empirical evidence supporting their effectiveness. This underscores the need for rigorous and continuous evaluation and monitoring of processes and outcomes associated with the introduction of health information technology.

Keywords

Artificial Intelligence (AI), Evaluation, Evidence, Health information technology, eHealth

Data Provider: Clarivate