Cited by 113Artificial Intelligence in Healthcare and EducationElectronic Health Records SystemsTechnology and Human Factors in Education and Health

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Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

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Rundo, Leonardo, Pirrone, Roberto, Vitabile, Salvatore, Sala, Evis, Gambino, Orazio·2020·Journal of Biomedical Informatics

DOI 10.1016/j.jbi.2020.103479

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Abstract

The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad hoc computational solutions are required. The most recent Machine Learning (ML) and Artificial Intelligence (AI) techniques have been achieving outstanding performance and an important impact in clinical research, aiming at precision medicine, as well as improving healthcare workflows. However, the inherent heterogeneity and uncertainty in the healthcare information sources pose new compelling challenges for clinicians in their decision-making tasks. Only the proper combination of AI and human intelligence capabilities, by explicitly taking into account effective and safe interaction paradigms, can permit the delivery of care that outperforms what either can do separately. Therefore, Human-Computer Interaction (HCI) plays a crucial role in the design of software oriented to decision-making in medicine. In this work, we systematically review and discuss several research fields strictly linked to HCI and clinical decision-making, by subdividing the articles into six themes, namely: Interfaces, Visualization, Electronic Health Records, Devices, Usability, and Clinical Decision Support Systems. However, these articles typically present overlaps among the themes, revealing that HCI inter-connects multiple topics. With the goal of focusing on HCI and design aspects, the articles under consideration were grouped into four clusters. The advances in AI can effectively support the physicians' cognitive processes, which certainly play a central role in decision-making tasks because the human mental behavior cannot be completely emulated and captured; the human mind might solve a complex problem even without a statistically significant amount of data by relying upon domain knowledge. For this reason, technology must focus on interactive solutions for supporting the physicians effectively in their daily activities, by exploiting their unique knowledge and evidence-based reasoning, as well as improving the various aspects highlighted in this review.

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See all 113

Authors: Rundo, L., Pirrone, R., Vitabile, S., Sala, E., & Gambino, O.
Affiliations: University of Cambridge (GB)
University of Palermo (IT)
Corresponding author: Gambino, Orazio
ORCID: Rundo, Leonardo
Pirrone, Roberto
Vitabile, Salvatore
Sala, Evis
Gambino, Orazio
Venue: Journal of Biomedical Informatics
Publisher: Elsevier BV
Published: 2020-08
Volume: 108
Pages: 103479
ISSN: 1532-0464 (ISSN-L)
DOI: 10.1016/j.jbi.2020.103479
OpenAlex: W3036614995
Cited by: 113
References: 138
Citations by year: 2026: 18 · 2025: 12 · 2024: 29 · 2023: 16 · 2022: 16 · 2021: 20 · 2020: 2
FWCI: 1.02
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 366 d)
Locations: Journal of Biomedical Informatics (publishedVersion)
PubMed (publishedVersion)
Apollo (University of Cambridge) (submittedVersion, cc-by-nc-nd)
Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, other-oa)
Apollo
Funders: Cancer Research UK
Mark Foundation For Cancer Research
Topics: Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Keywords: human-computer interaction, clinical decision-making, clinical decision support systems, precision medicine, clinical workflow, electronic health records, visualization, usability, medical devices, evidence-based reasoning, AI-assisted decision support
MeSH terms: Artificial Intelligence, Computers, Humans, Decision Support Systems, Clinical, Workflow, Precision Medicine

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Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

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