Open AccessA Human(e) Factor in Clinical Decision Support Systems
Author(s) -
Tim Bezemer,
Mark de Groot,
Enja Blasse,
Maarten J. ten Berg,
Teus H. Kappen,
Annelien L. Bredenoord,
Wouter W. van Solinge,
Imo E. Hoefer,
Saskia Haitjema
Publication year - 2019
Publication title -
jmir. journal of medical internet research/journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/11732
Subject(s) - big data , health care , predictive analytics , analytics , data science , value (mathematics) , decision support system , knowledge management , computer science , psychology , data mining , machine learning , economics , economic growth
The overwhelming amount, production speed, multidimensionality, and potential value of data currently available—often simplified and referred to as big data —exceed the limits of understanding of the human brain. At the same time, developments in data analytics and computational power provide the opportunity to obtain new insights and transfer data-provided added value to clinical practice in real time. What is the role of the health care professional in collaboration with the data scientist in the changing landscape of modern care? We discuss how health care professionals should provide expert knowledge in each of the stages of clinical decision support design: data level, algorithm level, and decision support level. Including various ethical considerations, we advocate for health care professionals to responsibly initiate and guide interprofessional teams, including patients, and embrace novel analytic technologies to translate big data into patient benefit driven by human(e) values.