Due date for submissions: October 15, 2019
Human-Computer Interaction (HCI) plays a fundamental role in the design of medical software oriented to decision-making. Physicians have to deal with an ensemble of systems and software tools in the clinical environment, such as clinical decision support systems, electronic health records (EHRs), picture archiving and communication systems (PACS), and additional platforms aimed at collaborative work, such as in telemedicine. The interfaces in such systems need to be built with recognition that physicians often have to collaborate with each other . Cognitive issues and poor usability are frequently a deterrent in using medical software; thus, good design practices have to be collected  or discovered through a user-centered approach . Moreover, usability testing  can verify the correct implementation of design principles, closing a feedback loop. A novel system also needs to be assessed formally in real-world settings where issues often arise that were not anticipated during laboratory studies. HCI in decision-making is also related to artificial intelligence (AI) and cognitive informatics, aimed at integrating decision support with data management and content presentation.
Artificial intelligence methods have contributed to the development of expert systems that are specialized in clinical decision-making [5,6], and the field’s machine learning techniques are today forming the basis for novel healthcare applications, especially in medical disciplines that require pattern recognition or prognostic modeling . AI methods can also be leveraged to enhance the interaction of a clinical system with the physician . Cognitive informatics in clinical decision-making is a broad topic , especially when related to communication patterns of distributed teams in telemedicine  who have to analyze data coming from patient monitoring wearable devices, such as smartwatches  and smartphones . In this context, the visualization aspect is particularly important  because the physicians have to share the same dashboard for data visualization  and a considerable amount of data also has to be managed in clinical environments [15,16].
In addition, the special issue could consider extensions of the DICOM standard related to HCI for both web-based  and networked frameworks aimed at intelligent auto-configurable Graphical User Interfaces .
Investigators are encouraged to submit clear and detailed descriptions of their novel methodological results. Possible topics include, but are not limited to:
HCI for collaborative work in medical environments 
Interfaces for clinical decision support systems 
Usability in medical software and devices [3,4]
Software architectures for HCI in biomedical decision-making [5,6]
HCI and medical standards [17,18]
Advanced medical Interfaces 
New generation devices for clinical HCI 
Interactive healthcare visualization design 
Smart Interactive biomedical data visualization 
Mobile and Web-based interfaces in healthcare and life sciences 
Biomedical Big Data analytics [15,16]
Interfaces for case-based and evidence-based reasoning 
Cognitive Informatics for clinical decision-making 
• Interpretability issues in interactive Machine Learning and Computational Intelligence [7,8]
Peer Review Process
All submitted papers must be original and will go through a rigorous peer-review process with at least two reviewers. JBI’s editorial policy will be strictly followed by special issue reviewers. Note in particular that JBI emphasizes the publication of papers that introduce innovative and generalizable methods of interest to the informatics community. Specific applications can be described to motivate the methodology being introduced, but papers that focus solely on a specific application are not suitable for JBI.
Authors must submit their papers via the online Elsevier Editorial System (EES) at http://ees.elsevier.com/jbi by October 15, 2019. Authors should select “HCI for Decision Making” as their submission category and note in a cover letter that their submission is for the “Special Issue on HCI for Biomedical Decision-Making: From Diagnosis to Therapy.” If the manuscript is not intended as an original research paper, the cover letter should also specify if it is, rather, a Methodological Review, Commentary, or Special Communication. Authors should make sure to place their work in the context of human-focused biomedical research or health care, and to review carefully the relevant literature.
JBI’s editorial policy, and the types of articles that the journal publishes, are outlined under Aims and Scope on the journal home page at https://www.journals.elsevier.com/journal-of-biomedical-informatics (click on “Read more” for full details). All submissions should follow the guidelines for authors at https://www.elsevier.com/journals/journal-ofbiomedical- informatics/1532-0464/guide-for-authors. Authors should format and structure their manuscripts according to the guidelines. If the authors speak a first language other than English, editorial assistance by a native English speaker is highly recommended prior to submission. Open-source software code and data should ideally be made available through Internet resources that are enduring. JBI is an international journal and generalizable contributions from throughout the world are highly encouraged.
Questions Regarding the Special Issue
Please direct any questions regarding the special issue to Dr. Orazio Gambino (email@example.com).
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Department of Engineering, University of Palermo
Department of Radiology, University of Cambridge
Cancer Research UK Cambridge Centre
Cambridge, United Kingdom
Department of Engineering, University of Palermo
Department of Biomedicine, Neuroscience and Advanced Diagnostic
University of Palermo