Jytte Brender McNair

TL;DR: A historical perspective about the evaluation of AI in healthcare is provided and key challenges of evaluating AI-enabled clinical decision support during design, development, selection, use, and ongoing surveillance are examined.

TL;DR: In this article, the theoretical principles and concepts behind evaluation of IT-based systems are discussed, discussing their presuppositions, implications and interrelationships; for instance in relation to a series of issues to consider: terminology for the concepts used as that is a reason for many disputes, bias, culture as the tacit driver of everything we do and design, constructive evaluation as this has strict time and timing issues, preparing for meta-analyses and top-level issues in choice of methodology.

TL;DR: Recommendations for the structure, scope and content of health IT evaluation courses on the master or postgraduate level have been developed, supported by a structured analysis of available courses and of available literature.

TL;DR: This book elaborates on several important aspects of General Systems Theory including nonlinearity and offers a new way of modelling that can be applied across the sciences.

TL;DR: This work proposes an approach to consolidate empirical knowledge into testable middle-range theories and reports on a Medinfo 2015 workshop on this topic jointly organized by the EFMI and IMIA.