Home > Research > Publications & Outputs > Known and unknown requirements in healthcare

Electronic data

Links

Text available via DOI:

View graph of relations

Known and unknown requirements in healthcare

Research output: Contribution to journalJournal article

E-pub ahead of print

Standard

Known and unknown requirements in healthcare. / Sutcliffe, Alistair; Sawyer, Pete; 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 journalJournal article

Harvard

Sutcliffe, A, Sawyer, P, Stringer, G, Couth, S, Brown, LJE, Gledson, A, Bull, C, Rayson, P, Keane, J, Zeng, X & Leroi, I 2018, 'Known and unknown requirements in healthcare', Requirements Engineering . https://doi.org/10.1007/s00766-018-0301-6

APA

Sutcliffe, A., Sawyer, P., Stringer, G., Couth, S., Brown, L. J. E., Gledson, A., ... Leroi, I. (2018). Known and unknown requirements in healthcare. Requirements Engineering . https://doi.org/10.1007/s00766-018-0301-6

Vancouver

Sutcliffe A, Sawyer P, Stringer G, Couth S, Brown LJE, Gledson A et al. Known and unknown requirements in healthcare. Requirements Engineering . 2018 Jul 30. https://doi.org/10.1007/s00766-018-0301-6

Author

Sutcliffe, Alistair ; Sawyer, Pete ; Stringer, Gemma ; Couth, Samuel ; Brown, Laura J. E. ; Gledson, Ann ; Bull, Christopher ; Rayson, Paul ; Keane, John ; Zeng, Xiao-jun ; Leroi, Iracema. / Known and unknown requirements in healthcare. In: Requirements Engineering . 2018.

Bibtex

@article{f0e40df7b733443781b695acb7f13f60,
title = "Known and unknown requirements in healthcare",
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.",
keywords = "Requirements elicitation, Domain knowledge , Experts, Causal models, Data mining, Medical informatics",
author = "Alistair Sutcliffe and Pete Sawyer and Gemma Stringer and Samuel Couth and Brown, {Laura J. E.} and Ann Gledson and Christopher Bull and Paul Rayson and John Keane and Xiao-jun Zeng and Iracema Leroi",
year = "2018",
month = "7",
day = "30",
doi = "10.1007/s00766-018-0301-6",
language = "English",
journal = "Requirements Engineering",
issn = "0947-3602",
publisher = "Springer London",

}

RIS

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 - 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 - 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

JO - Requirements Engineering

JF - Requirements Engineering

SN - 0947-3602

ER -