A Human(e) Factor in Clinical Decision Support Systems

Tim Bezemer; Mark C.H. De Groot; Enja Blasse; Maarten J. Ten Berg; Teus H. Kappen; Annelien L. Bredenoord; Wouter W. Van Solinge; Imo E. Hoefer; Saskia Haitjema

doi:10.2196/11732

A Human(e) Factor in Clinical Decision Support Systems

Tim Bezemer, Mark C.H. De Groot, Enja Blasse, Maarten J. Ten Berg, Teus H. Kappen, Annelien L. Bredenoord, Wouter W. Van Solinge, Imo E. Hoefer, Saskia Haitjema^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

2 Citations (Scopus)

3 Downloads (Pure)

Abstract

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.

Original language	English
Article number	e11732
Journal	Journal of Medical Internet Research
Volume	21
Issue number	3
DOIs	https://doi.org/10.2196/11732
Publication status	Published - 19 Mar 2019

Keywords

clinical decision support
big data
artificial intelligence
machine learning
deep learning
precision medicine
expert systems
data science
health care providers
Data science
Deep learning
Precision medicine
Machine learning
Big data
Clinical decision support
Health care providers
Artificial intelligence
Expert systems

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title = "A Human(e) Factor in Clinical Decision Support Systems",

abstract = "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.",

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author = "Tim Bezemer and {De Groot}, {Mark C.H.} and Enja Blasse and {Ten Berg}, {Maarten J.} and Kappen, {Teus H.} and Bredenoord, {Annelien L.} and {Van Solinge}, {Wouter W.} and Hoefer, {Imo E.} and Saskia Haitjema",

note = "Funding Information: TB is funded through the Netherlands CardioVascular Research Initiative CVON2017-22 ARGUS. This project is financed by the PPP Allowance made available by Top Sector Life Sciences & Health to Hartstichting to stimulate public-private partnerships. Publisher Copyright: {\textcopyright} Tim Bezemer, Mark CH de Groot, Enja Blasse, Maarten J ten Berg, Teus H Kappen, Annelien L Bredenoord, Wouter W van Solinge, Imo E Hoefer, Saskia Haitjema. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

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PY - 2019/3/19

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N2 - 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.

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A Human(e) Factor in Clinical Decision Support Systems

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