Is artificial intelligence for medical professionals serving the patients?  : Protocol for a systematic review on patient-relevant benefits and harms of algorithmic decision-making.

Journal: Systematic reviews
PMID:

Abstract

BACKGROUND: Algorithmic decision-making (ADM) utilises algorithms to collect and process data and develop models to make or support decisions. Advances in artificial intelligence (AI) have led to the development of support systems that can be superior to medical professionals without AI support in certain tasks. However, whether patients can benefit from this remains unclear. The aim of this systematic review is to assess the current evidence on patient-relevant benefits and harms, such as improved survival rates and reduced treatment-related complications, when healthcare professionals use ADM systems (developed using or working with AI) compared to healthcare professionals without AI-related ADM (standard care)-regardless of the clinical issues.

Authors

  • Christoph Wilhelm
    Institute of Health and Nursing Sciences, Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, Halle, 06112, Germany. christoph.wilhelm@uni-potsdam.de.
  • Anke Steckelberg
    Institute of Health and Nursing Sciences, Martin Luther University Halle-Wittenberg, Magdeburger Str. 8, Halle, 06112, Germany.
  • Felix G Rebitschek
    Harding-Zentrum für Risikokompetenz, Fakultät für Gesundheitswissenschaften, Universität Potsdam, Virchowstr. 2-4, 14482, Potsdam, Deutschland. rebitschek@uni-potsdam.de.