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Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service / Tom, Crick

Digital Human Modeling, Volume: 10287, Pages: 91 - 98

Swansea University Author: Tom, Crick

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Abstract

A major issue in designing digital healthcare software solutions is ensuring they meet the clinical needs and requirements of key services, as well as the expectations of various healthcare professionals. Modern software requirements engineering must be adapted to cater for this demand; we argue tha...

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Published in: Digital Human Modeling
ISBN: 978-3-319-58465-2 978-3-319-58466-9
ISSN: 0302-9743 1611-3349
Published: Vancouver, BC, Canada Springer 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa43376
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-08-28T10:41:17.5221584</datestamp><bib-version>v2</bib-version><id>43376</id><entry>2018-08-14</entry><title>Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK&#x2019;s National Health Service</title><swanseaauthors><author><sid>200c66ef0fc55391f736f6e926fb4b99</sid><ORCID>0000-0001-5196-9389</ORCID><firstname>Tom</firstname><surname>Crick</surname><name>Tom Crick</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-08-14</date><deptcode>EDUC</deptcode><abstract>A major issue in designing digital healthcare software solutions is ensuring they meet the clinical needs and requirements of key services, as well as the expectations of various healthcare professionals. Modern software requirements engineering must be adapted to cater for this demand; we argue that traditional (and popular) requirements engineering processes &#x2013; particularly in relation to the elicitation and validation of key requirements &#x2013; may not be the most appropriate within the context of a multi-disciplinary team of healthcare professionals. Successful software requirements engineering is vital in ensuring that digital healthcare solutions fulfill expectations and meet the clinical needs; we thus propose that new methods of gathering requirements in the &#x2018;third space&#x2019; are needed. This paper draws on a case study of the multi-disciplinary team of healthcare professionals involved in the diagnosis and support of autism spectrum disorders (ASD) in young children within the UK&#x2019;s National Health Service (NHS). It is worth noting that, in the context of our case study, requirements engineering is an iterative process and requires the input of numerous stakeholders from often stretched and fragmented services.</abstract><type>Book chapter</type><journal>Digital Human Modeling</journal><volume>10287</volume><paginationStart>91</paginationStart><paginationEnd>98</paginationEnd><publisher>Springer</publisher><placeOfPublication>Vancouver, BC, Canada</placeOfPublication><isbnPrint>978-3-319-58465-2</isbnPrint><isbnElectronic>978-3-319-58466-9</isbnElectronic><issnPrint>0302-9743</issnPrint><issnElectronic>1611-3349</issnElectronic><keywords>Autism spectrum disorder, M-Health, User behaviour analysis, Software engineering, Requirements engineering</keywords><publishedDay>9</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-07-09</publishedDate><doi>10.1007/978-3-319-58466-9_9</doi><url>https://link.springer.com/chapter/10.1007%2F978-3-319-58466-9_9</url><notes>8th International Conference on Digital Human Modeling (DHM 2017): Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety</notes><college>COLLEGE NANME</college><department>School of Education</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EDUC</DepartmentCode><institution>Swansea University</institution><lastEdited>2018-08-28T10:41:17.5221584</lastEdited><Created>2018-08-14T15:44:50.2657667</Created><path><level id="1">College of Science</level><level id="2">Computer Science</level></path><authors><author><firstname>Catherine</firstname><surname>Tryfona</surname><order>1</order></author><author><firstname>Tom</firstname><surname>Crick</surname><orcid>0000-0001-5196-9389</orcid><order>2</order></author><author><firstname>Ana</firstname><surname>Calderon</surname><order>3</order></author><author><firstname>Simon</firstname><surname>Thorne</surname><order>4</order></author></authors><documents/></rfc1807>
spelling 2018-08-28T10:41:17.5221584 v2 43376 2018-08-14 Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 EDUC A major issue in designing digital healthcare software solutions is ensuring they meet the clinical needs and requirements of key services, as well as the expectations of various healthcare professionals. Modern software requirements engineering must be adapted to cater for this demand; we argue that traditional (and popular) requirements engineering processes – particularly in relation to the elicitation and validation of key requirements – may not be the most appropriate within the context of a multi-disciplinary team of healthcare professionals. Successful software requirements engineering is vital in ensuring that digital healthcare solutions fulfill expectations and meet the clinical needs; we thus propose that new methods of gathering requirements in the ‘third space’ are needed. This paper draws on a case study of the multi-disciplinary team of healthcare professionals involved in the diagnosis and support of autism spectrum disorders (ASD) in young children within the UK’s National Health Service (NHS). It is worth noting that, in the context of our case study, requirements engineering is an iterative process and requires the input of numerous stakeholders from often stretched and fragmented services. Book chapter Digital Human Modeling 10287 91 98 Springer Vancouver, BC, Canada 978-3-319-58465-2 978-3-319-58466-9 0302-9743 1611-3349 Autism spectrum disorder, M-Health, User behaviour analysis, Software engineering, Requirements engineering 9 7 2017 2017-07-09 10.1007/978-3-319-58466-9_9 https://link.springer.com/chapter/10.1007%2F978-3-319-58466-9_9 8th International Conference on Digital Human Modeling (DHM 2017): Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety COLLEGE NANME School of Education COLLEGE CODE EDUC Swansea University 2018-08-28T10:41:17.5221584 2018-08-14T15:44:50.2657667 College of Science Computer Science Catherine Tryfona 1 Tom Crick 0000-0001-5196-9389 2 Ana Calderon 3 Simon Thorne 4
title Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
spellingShingle Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
Tom, Crick
title_short Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
title_full Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
title_fullStr Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
title_full_unstemmed Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
title_sort Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom, Crick
author Tom, Crick
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url https://link.springer.com/chapter/10.1007%2F978-3-319-58466-9_9
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description A major issue in designing digital healthcare software solutions is ensuring they meet the clinical needs and requirements of key services, as well as the expectations of various healthcare professionals. Modern software requirements engineering must be adapted to cater for this demand; we argue that traditional (and popular) requirements engineering processes – particularly in relation to the elicitation and validation of key requirements – may not be the most appropriate within the context of a multi-disciplinary team of healthcare professionals. Successful software requirements engineering is vital in ensuring that digital healthcare solutions fulfill expectations and meet the clinical needs; we thus propose that new methods of gathering requirements in the ‘third space’ are needed. This paper draws on a case study of the multi-disciplinary team of healthcare professionals involved in the diagnosis and support of autism spectrum disorders (ASD) in young children within the UK’s National Health Service (NHS). It is worth noting that, in the context of our case study, requirements engineering is an iterative process and requires the input of numerous stakeholders from often stretched and fragmented services.
published_date 2017-07-09T13:58:01Z
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