Evolution versus Evaluation: Technology Assessment of AI in healthcare
AI can revolutionize healthcare through, for example, improving diagnostic and prognostic performance based on biomarkers and imaging modalities, supporting more personalized prevention and treatment strategies, and more accurate monitoring of patients in hospitals and at home. However, as with all health innovations, the actual added value of AI tools will vary. While the (proper) use of some AI tools will indeed improve patient relevant outcomes, save costs, or decrease the need for healthcare personnel and resources others will not generate such benefits. Health technology assessment (HTA) of AI tools is therefore just as crucial as for other new technologies. However, compared to, for example, new drugs, biomarkers, or surgical robots, the dynamic nature of AI tools present new challenges to HTA. This presentation will illustrate some of these key challenges using case studies and discuss potential solutions.
Personal information
Organisation | University of Twente |
Position | Professor Technology Assessment of Digital Health Innovations |
Biography
Erik Koffijberg is professor Health Technology Assessment and chair of the section Health Technology & Services Research at the University of Twente, Faculty BMS, TechMed Centre. He studies, applies and teaches empirical and simulation-based methods to quantify the (long-term) impact of innovations in healthcare for patients, care providers, insurers and society as a whole. He is a member of the scientific advisory board of the National Healthcare Institute (ZIN).
Programme
Time | Session | Location | |
|---|---|---|---|
11.00 - 12.15 | AI & Health: from bench to bedside | Innovation Stage | Ground floor |