Call for Papers: HCI for Biomedical Decision-Making: From Diagnosis to Therapy

  in Special Issue   Posted on June 12, 2019

Information for the Special Issue

Submission Deadline: Tue 15 Oct 2019
Journal Impact Factor : 2.753
Journal Name : Journal of Biomedical Informatics
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/journal-of-biomedical-informatics/call-for-papers/hci-for-biomedical-decision-making
Journal & Submission Website: https://www.journals.elsevier.com/journal-of-biomedical-informatics

Special Issue Call for Papers:

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 [1]. Cognitive issues and poor usability are frequently a deterrent in using medical software; thus, good design practices have to be collected [2] or discovered through a user-centered approach [3]. Moreover, usability testing [4] 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 [7]. AI methods can also be leveraged to enhance the interaction of a clinical system with the physician [8]. Cognitive informatics in clinical decision-making is a broad topic [9], especially when related to communication patterns of distributed teams in telemedicine [10] who have to analyze data coming from patient monitoring wearable devices, such as smartwatches [11] and smartphones [12]. In this context, the visualization aspect is particularly important [13] because the physicians have to share the same dashboard for data visualization [14] 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 [17] and networked frameworks aimed at intelligent auto-configurable Graphical User Interfaces [18].

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 [1]
  • Interfaces for clinical decision support systems [2]
  • 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 [18]
  • New generation devices for clinical HCI [11]
  • Interactive healthcare visualization design [13]
  • Smart Interactive biomedical data visualization [14]
  • Mobile and Web-based interfaces in healthcare and life sciences [12]
  • Biomedical Big Data analytics [15,16]
  • Interfaces for case-based and evidence-based reasoning [10]
  • Cognitive Informatics for clinical decision-making [9]

• 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.

Submissions

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 (orazio.gambino@unipa.it).

References

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J Horsky, GD Schiff, D Johnston, L Mercincavage, D Bell, B Middleton. Interface design principles for usable decision support: A targeted review of best practices for clinical prescribing interventions, J Biomed Inform 45 (6) (2012) 1202-16. doi:10.1016/j.jbi.2012.09.002.

RR Bond, DD Finlay, CD Nugent, G Moore, D Guldenring. A usability evaluation of medical software at an expert conference setting, Computer Methods and Programs in Biomedicine 113 (1) (2014) 383-95. doi:10.1016/j.cmpb.2013.10.006.

PE Wiklund, J Kendler, AY Strochlic. Usability Testing of Medical Devices, Second Edition, CRC Press, 2015.

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EH Shortliffe, MJ Sepúlveda. Clinical Decision Support in the Era of Artificial Intelligence. JAMA 320 (21) (2018) 2199–2200. doi:10.1001/jama.2018.17163

F Cabitza, R Rasoini, GF Gensini. Unintended consequences of machine learning in medicine, JAMA 318 (6) (2017) 517-8. doi:10.1001/jama.2017.7797.

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VL Patel, TG Kannampallil. Cognitive informatics in biomedicine and healthcare, J Biomed Inform 53 (2015) 3-14. doi:10.1016/j.jbi.2014.12.007.

A Sene, B Kamsu-Foguem, P Rumeau. Telemedicine framework using case-based reasoning with evidences. Computer Methods and Programs in Biomedicine 121 (1) (2015) 21-35. doi:10.1016/j.cmpb.2015.04.012.

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DB Corbett, T Mendoza, TM Manini, S Ranka. A smartwatch-based framework for real-time and online assessment and mobility monitoring, J Biomed Inform 89 (2019) 29-40. doi:10.1016/j.jbi.2018.11.003.

VP Cornet, RJ Holden, Systematic review of smartphone-based passive sensing for health and wellbeing, J Biomed Inform 77 (2018) 120-32. doi:10.1016/j.jbi.2017.12.008.

B Shneiderman, C Plaisant, BW Hesse. Improving health care with interactive visualization. Computer 46 (5) (2013) 58–66. doi:10.1109/MC.2013.38.

A Franklin, S Gantela, S Shifarraw, TR Johnson, DJ Robinson, BR King, AM Mehta, CL Maddow, NR Hoot, V Nguyen, A Rubio, J Zhang, NG Okafor. Dashboard visualizations: Supporting real-time throughput decision-making, J Biomed Inform 71 (2017) 211-21. doi:10.1016/j.jbi.2017.05.024.

M Nahm, J Zhang. Operationalization of the UFuRT methodology for usability analysis in the clinical research data management domain, J Biomed Inform 42 (2) (2009) 327-33. doi:10.1016/j.jbi.2008.10.004.

A Pashazadeh, NJ Navimipour. Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review, J Biomed Inform 82 (2018) 47-62. doi:10.1016/j.jbi.2018.03.014.

BW Genereaux, DK Dennison, K Ho, R Horn, EL Silver, K O’Donnell, CE Kahn, DicomwebTM: Background and application of the web standard for medical imaging, Journal of Digital Imaging 31 (3) (2018) 321–6. doi:10.1007/s10278-018-0073-z.

O Gambino, L Rundo, V Cannella, S Vitabile, R Pirrone. A framework for data-driven adaptive GUI generation based on DICOM, J Biomed Inform 88 (2018) 37-52. doi:10.1016/j.jbi.2018.10.009.

Guest Editors

Orazio Gambino
Department of Engineering, University of Palermo
Palermo, Italy
Email: orazio.gambino@unipa.it

Leonardo Rundo
Department of Radiology, University of Cambridge
Cancer Research UK Cambridge Centre
Cambridge, United Kingdom
Email: lr495@cam.ac.uk

Roberto Pirrone
Department of Engineering, University of Palermo
Palermo, Italy
Email: roberto.pirrone@unipa.it

Salvatore Vitabile
Department of Biomedicine, Neuroscience and Advanced Diagnostic
University of Palermo
Palermo, Italy
Email: salvatore.vitabile@unipa.it

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