Final published version, 1.1 MB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License
Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Known and unknown requirements in healthcare
AU - Sutcliffe, Alistair
AU - Sawyer, Pete
AU - Stringer, Gemma
AU - Couth, Samuel
AU - Brown, Laura J. E.
AU - Gledson, Ann
AU - Bull, Christopher
AU - Rayson, Paul
AU - Keane, John
AU - Zeng, Xiao-jun
AU - Leroi, Iracema
PY - 2020/3/1
Y1 - 2020/3/1
N2 - We report experience in requirements elicitation of domain knowledge from experts in clinical and cognitive neurosciences. The elicitation target was a causal model for early signs of dementia indicated by changes in user behaviour and errors apparent in logs of computer activity. A Delphi-style process consisting of workshops with experts followed by a questionnaire was adopted. The paper describes how the elicitation process had to be adapted to deal with problems encountered in terminology and limited consensus among the experts. In spite of the difficulties encountered, a partial causal model of user behavioural pathologies and errors was elicited. This informed requirements for configuring data- and text-mining tools to search for the specific data patterns. Lessons learned for elicitation from experts are presented, and the implications for requirements are discussed as “unknown unknowns”, as well as configuration requirements for directing data-/text-mining tools towards refining awareness requirements in healthcare applications.
AB - We report experience in requirements elicitation of domain knowledge from experts in clinical and cognitive neurosciences. The elicitation target was a causal model for early signs of dementia indicated by changes in user behaviour and errors apparent in logs of computer activity. A Delphi-style process consisting of workshops with experts followed by a questionnaire was adopted. The paper describes how the elicitation process had to be adapted to deal with problems encountered in terminology and limited consensus among the experts. In spite of the difficulties encountered, a partial causal model of user behavioural pathologies and errors was elicited. This informed requirements for configuring data- and text-mining tools to search for the specific data patterns. Lessons learned for elicitation from experts are presented, and the implications for requirements are discussed as “unknown unknowns”, as well as configuration requirements for directing data-/text-mining tools towards refining awareness requirements in healthcare applications.
KW - Requirements elicitation
KW - Domain knowledge
KW - Experts
KW - Causal models
KW - Data mining
KW - Medical informatics
U2 - 10.1007/s00766-018-0301-6
DO - 10.1007/s00766-018-0301-6
M3 - Journal article
VL - 25
SP - 1
EP - 20
JO - Requirements Engineering
JF - Requirements Engineering
SN - 0947-3602
IS - 1
ER -