PD67 Strengthening And Accelerating Health Technology Assessments Through Artificial Intelligence

• Published in: International journal of technology assessment in health care Vol. 34; no. S1; pp. 154 - 155
• Main Authors: Goebel, Randy, Kim, Mi-Young, Jonsson, Egon, Wolfaardt, Ulli
• Format: Journal Article
• Language: English
• Published: New York, USA Cambridge University Press 2018
• Subjects: Artificial intelligence; Computation; Health; Health care; Health technology assessment; Learning algorithms; Machine learning; Poster Display Presentations; Quality assessment; Quality control; Synthesis; Technology assessment; Canada

Introduction:Rising costs and the rapidly increasing volume of findings from research in health care are driving the demand for comprehensive information to inform the allocation of resources. Health technology assessment (HTA) applies rigorous processes to provide high-quality synthesized informati...