Abstract
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.
| Original language | English |
|---|---|
| Number of pages | 20 |
| Journal | Requirements engineering |
| Early online date | 30 Jul 2018 |
| DOIs | |
| Publication status | E-pub ahead of print - 30 Jul 2018 |
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Bibliographical note
This article is published under an open access license. Please check the 'Copyright Information' section for details of this license and what re-use is permitted. If your intended use exceeds what is permitted by the license or if you are unable to locate the licence and re-use information, please contact the Rights and Permissions team.Keywords
- Causal models
- Data mining
- Domain knowledge
- Experts
- Medical informatics
- Requirements elicitation
Cite this
}
Known and unknown requirements in healthcare. / Sutcliffe, Alistair; Sawyer, Peter; Stringer, Gemma; Couth, Samuel; Brown, Laura J.E.; Gledson, Ann; Bull, Christopher; Rayson, Paul; Keane, John; Zeng, Xiao jun; Leroi, Iracema.
In: Requirements engineering, 30.07.2018.Research output: Contribution to journal › Article
TY - JOUR
T1 - Known and unknown requirements in healthcare
AU - Sutcliffe, Alistair
AU - Sawyer, Peter
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
N1 - This article is published under an open access license. Please check the 'Copyright Information' section for details of this license and what re-use is permitted. If your intended use exceeds what is permitted by the license or if you are unable to locate the licence and re-use information, please contact the Rights and Permissions team.
PY - 2018/7/30
Y1 - 2018/7/30
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 - Causal models
KW - Data mining
KW - Domain knowledge
KW - Experts
KW - Medical informatics
KW - Requirements elicitation
UR - http://www.scopus.com/inward/record.url?scp=85050971357&partnerID=8YFLogxK
UR - https://link.springer.com/article/10.1007%2Fs00766-018-0301-6
U2 - 10.1007/s00766-018-0301-6
DO - 10.1007/s00766-018-0301-6
M3 - Article
AN - SCOPUS:85050971357
JO - Requirements engineering
JF - Requirements engineering
SN - 0947-3602
ER -