A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury

Adil Umer, Jussi Mattila, Hilkka Liedes, Juha Koikkalainen, Jyrki Lotjonen, Ari Katila, Janek Frantzen, Virginia Newcombe, Olli Tenovuo, David Menon, Mark van Gils

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

Traumatic Brain Injury (TBI) occurs when an external force causes functional or structural alterations in the brain. Clinical characteristics of TBI vary greatly from patient to patient, and a large amount of data is gathered during various phases of clinical care in these patients. It is hard for clinicians to efficiently integrate and interpret all of these data and plan interventions in a timely manner. This paper describes the technical architecture and functionality of a web-based Decision Support System (DSS), which not only provides advanced support for visualizing complex TBI data but also predicts a possible outcome by using a state-of-the-art Disease State Index machine-learning algorithm. The DSS is developed by using a three-layered architecture and by employing modern programming principles, software design patterns and using robust technologies (C#, ASP.NET MVC, HTML5, JavaScript, and Entity Framework etc.). The DSS is comprised of a patient overview module, a disease-state prediction module and an imaging module. After deploying it on a web-server, the DSS was made available to two hospitals in UK and Finland. Afterwards, we conducted a validation study to evaluate its usability in clinical settings. Initial results of the study indicate that especially less experience clinicians may benefit from this type of decision support software tool.

Original languageEnglish
Article number8370619
Pages (from-to)1261-1268
JournalIEEE Journal of Biomedical and Health Informatics
Volume23
Issue number3
DOIs
Publication statusPublished - 1 May 2019
MoE publication typeA1 Journal article-refereed

Fingerprint

Decision support systems
Brain
Planning
Software Design
Validation Studies
Finland
Patient Care
Therapeutics
Software design
Software
Learning algorithms
Technology
Learning systems
Servers
Imaging techniques
Traumatic Brain Injury

Keywords

  • clinical decision support
  • Computer architecture
  • Data models
  • Data visualization
  • Decision support systems
  • Diseases
  • Hospitals
  • Imaging
  • traumatic brain injury
  • web-based tool

Cite this

Umer, Adil ; Mattila, Jussi ; Liedes, Hilkka ; Koikkalainen, Juha ; Lotjonen, Jyrki ; Katila, Ari ; Frantzen, Janek ; Newcombe, Virginia ; Tenovuo, Olli ; Menon, David ; van Gils, Mark. / A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury. In: IEEE Journal of Biomedical and Health Informatics. 2019 ; Vol. 23, No. 3. pp. 1261-1268.
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Umer, A, Mattila, J, Liedes, H, Koikkalainen, J, Lotjonen, J, Katila, A, Frantzen, J, Newcombe, V, Tenovuo, O, Menon, D & van Gils, M 2019, 'A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury', IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 3, 8370619, pp. 1261-1268. https://doi.org/10.1109/JBHI.2018.2842717

A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury. / Umer, Adil; Mattila, Jussi; Liedes, Hilkka; Koikkalainen, Juha; Lotjonen, Jyrki; Katila, Ari; Frantzen, Janek; Newcombe, Virginia; Tenovuo, Olli; Menon, David; van Gils, Mark.

In: IEEE Journal of Biomedical and Health Informatics, Vol. 23, No. 3, 8370619, 01.05.2019, p. 1261-1268.

Research output: Contribution to journalArticleScientificpeer-review

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