Which clinical decisions benefit from automation? A task complexity approach

Vitali Sintchenko, Enrico Coiera

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

This paper describes a model for analysing medical decision making tasks and evaluation of their suitability for automation. The overall approach focuses on the assessment of decision complexity and possible reduction of human effort by automated decision support. The approach consists of five subsequent steps: (1) selection of the domain and relevant tasks; (2) evaluation of the knowledge complexity for tasks selected; (3) selection of potentially most cognitively demanding task; (4) assessment of unaided and aided effort requirements for this task accomplishment; and (5) selection of computational tools to achieve this complexity reduction. The model described allows for task automation without lowering of decision quality.

Original languageEnglish
Title of host publicationHealth Data in the Information Society - Proceedings of MIE 2002
Place of PublicationBudapest, Hungary
PublisherIOS Press
Pages639-643
Number of pages5
Volume90
ISBN (Print)1586032798, 9781586032791
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event17th International Conference of the European Federation of Medical Informatics, MIE 2002 - Budapest, Hungary
Duration: 25 Aug 200229 Aug 2002

Other

Other17th International Conference of the European Federation of Medical Informatics, MIE 2002
CountryHungary
CityBudapest
Period25/08/0229/08/02

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