Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
MeSHx-Notes: Web-System for Clinical Notes Read chapter Read first chapter

2019 | OriginalPaper | Chapter

The Role of Usability Engineering in the Development of an Intelligent Decision Support System

Authors : Clare Martin, Arantza Aldea, David Duce, Rachel Harrison, Bedour Alshaigy

Published in: Artificial Intelligence in Health

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper presents an overview of the usability engineering process for the development of a personalised clinical decision support system for the management of type 1 diabetes. The tool uses artificial intelligence (AI) techniques to provide insulin bolus dose advice and carbohydrate recommendations that adapt to the individual. We describe the role of human factors and user-centred design in the creation of medical systems that must adhere to international standards. We focus specifically on the formative evaluation stage of this process. The preliminary analysis of data shows promising results.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Lifted Maximum Expected Utility
next chapter Automated Pain Detection in Facial Videos of Children Using Human-Assisted Transfer Learning
Appendix
Available only for authorised users
Literature
1.
Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 7(1), 39–59 (1994)
2.
Abrial, J.R., Abrial, J.R.: The B-book: Assigning Programs to Meanings. Cambridge University Press, Cambridge (2005)MATH
3.
Årsand, E., et al.: Mobile health applications to assist patients with diabetes: lessons learned and design implications. J. Diab. Sci. Technol. 6(5), 1197–1206 (2012)CrossRef
4.
Bellazzi, R.: Telemedicine and diabetes management: current challenges and future research directions. J. Diab. Sci. Technol. 2(1), 98–104 (2008)CrossRef
5.
Bertini, E., Catarci, T., Dix, A., Gabrielli, S., Kimani, S., Santucci, G.: Appropriating heuristic evaluation methods for mobile computing. In: Handbook of Research on User Interface Design and Evaluation for Mobile Technology, pp. 780–801. IGI Global (2008)
6.
Brooke, J., et al.: SUS-A quick and dirty usability scale. Usability Eval. Ind. 189(194), 4–7 (1996)
7.
Brown, D.: Reflections on the role and design of visualizations to support patients with type 1 diabetes (2016, in preparation)
8.
Cefai, J.J., Shapley, J.L.: Micro-valve. US Patent 8,048,041, 1 November 2011
9.
10.
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)CrossRef
11.
Tufte, E.: The Visual Display of Quantitative Information. Graphics Press, Cheshire (2001). vol. 4, no. 5, p. 6
12.
Fast, E., Horvitz, E.: Long-term trends in the public perception of artificial intelligence. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, pp. 963–969. International Joint Conferences on Artificial Intelligence, Menlo Park, Calif (2017)
13.
Georgsson, M., Staggers, N., Weir, C.: A modified user-oriented heuristic evaluation of a mobile health system for diabetes self-management support. Comput. Inf. Nurs. 34(2), 77 (2016)CrossRef
14.
15.
Hengstler, M., Enkel, E., Duelli, S.: Applied artificial intelligence and trust–the case of autonomous vehicles and medical assistance devices. Technol. Forecast. Soc. Chang. 105, 105–120 (2016)CrossRef
16.
Herrero, P., López, B., Martin, C.: PEPPER: patient empowerment through predictive personalised decision support. In: ECAI Workshop on Artificial Intelligence for Diabetes, pp. 8–9 (2016)
17.
18.
19.
International Standard IEC: 62366-1: 2015 medical devices part 1: application of usability engineering to medical devices. International Organization for Standardization, Geneva (2015)
20.
International Standard IEC: 62366-2: 2016 medical devices part 2: Guidance on the application of usability engineering to medical devices. International Organization for Standardization, Geneva (2016)
21.
22.
23.
Kirwan, B., Ainsworth, L.K.: A Guide to Task Analysis: The Task Analysis Working Group. CRC Press, Boca Raton (1992)CrossRef
24.
Klonof, D.C.: The current status of bolus calculator decision-support software. J. Diab. Sci. Technol. 6(5), 990–994 (2012)CrossRef
25.
Klonoff, D.C.: Telemedicine for diabetes: current and future trends. J. Diab. Sci. Technol. 10(1), 3–5 (2016)CrossRef
26.
Munzner, T.: A nested process model for visualization design and validation. IEEE Trans. Vis. Comput. Graph. 6, 921–928 (2009)CrossRef
27.
Nielsen, J.: Usability Engineering. Morgan Kauffmann, San Francisco (1994)MATH
28.
Nielsen, J.: Severity ratings for usability problems. Pap. Essays 54, 1–2 (1995)
29.
O’Kane, A.: Individual differences and contextual factors influence the experience and practice of self-care with type 1 diabetes technologies. Ph.D. thesis, UCL (University College London) (2016)
30.
Rice, A.D., Lartigue, J.W.: Touch-level model (TLM): evolving KLM-GOMS for touchscreen and mobile devices. In: Proceedings of the 2014 ACM Southeast Regional Conference, p. 53. ACM (2014)
31.
Russell, S., Dewey, D., Tegmark, M.: Research priorities for robust and beneficial artificial intelligence. AI Mag. 36(4), 105–114 (2015)CrossRef
32.
Thimbleby, H.: Feature ignorance of interaction programming is killing people. Interactions 15(5), 52–57 (2008)CrossRef
33.
34.
USFDA, et al.: Applying human factors and usability engineering to optimize medical device design. FDA Center for Devices and Radiological Health: Silver Spring, MD, USA (2011)
35.
Zhang, J., Johnson, T.R., Patel, V.L., Paige, D.L., Kubose, T.: Using usability heuristics to evaluate patient safety of medical devices. J. Biomed. Inform. 36(1–2), 23–30 (2003)CrossRef
Metadata
Title
The Role of Usability Engineering in the Development of an Intelligent Decision Support System
Authors
Clare Martin
Arantza Aldea
David Duce
Rachel Harrison
Bedour Alshaigy
Copyright Year
2019
Book
Artificial Intelligence in Health

Print ISBN: 978-3-030-12737-4

Electronic ISBN: 978-3-030-12738-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-12738-1_11

Premium Partner

    Image Credits