Which clinical decisions benefit from automation? A task complexity approach

Vitali Sintchenko; Enrico Coiera

doi:10.3233/978-1-60750-934-9-639

Which clinical decisions benefit from automation? A task complexity approach

Vitali Sintchenko, Enrico Coiera

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

3 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 language	English
Title of host publication	Health Data in the Information Society - Proceedings of MIE 2002
Place of Publication	Budapest, Hungary
Publisher	IOS Press
Pages	639-643
Number of pages	5
Volume	90
ISBN (Print)	1586032798, 9781586032791
DOIs	https://doi.org/10.3233/978-1-60750-934-9-639
Publication status	Published - 2002
Externally published	Yes
Event	17th International Conference of the European Federation of Medical Informatics, MIE 2002 - Budapest, Hungary Duration: 25 Aug 2002 → 29 Aug 2002

Other

Other	17th International Conference of the European Federation of Medical Informatics, MIE 2002
Country/Territory	Hungary
City	Budapest
Period	25/08/02 → 29/08/02

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10.3233/978-1-60750-934-9-639

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title = "Which clinical decisions benefit from automation? A task complexity approach",

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.",

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Sintchenko, V & Coiera, E 2002, Which clinical decisions benefit from automation? A task complexity approach. in Health Data in the Information Society - Proceedings of MIE 2002. vol. 90, IOS Press, Budapest, Hungary, pp. 639-643, 17th International Conference of the European Federation of Medical Informatics, MIE 2002, Budapest, Hungary, 25/08/02. https://doi.org/10.3233/978-1-60750-934-9-639

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AU - Coiera, Enrico

PY - 2002

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AB - 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.

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DO - 10.3233/978-1-60750-934-9-639

M3 - Conference proceeding contribution

C2 - 15460772

AN - SCOPUS:7944232215

SN - 1586032798

SN - 9781586032791

VL - 90

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EP - 643

BT - Health Data in the Information Society - Proceedings of MIE 2002

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CY - Budapest, Hungary

T2 - 17th International Conference of the European Federation of Medical Informatics, MIE 2002

Y2 - 25 August 2002 through 29 August 2002

ER -

Which clinical decisions benefit from automation? A task complexity approach

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