Requirements gathering: the journey

Lane, Stephen S.; O’Raghallaigh, Paidi; Sammon, David

doi:10.1080/12460125.2016.1187390

Cited by 25 publications

(19 citation statements)

References 23 publications

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“…A fundamental requirement for development and implementation of a DDSS is to have explicit clinical decision-making processes. It is also important that DDSS are developed in partnership with the clinical end user from an early stage to facilitate use in a clinical environment (19). Within our study it was identi ed that there is no common structured approach towards assessment and diagnosis, therefore limiting the ability to develop a DDSS around current practice.…”

Section: Discussionmentioning

confidence: 99%

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Developing A Diagnostic Decision Support System (DDSS) to Reduce Time To Diagnosis in Paediatric Shoulder Instability

Philp

Faux-Nightingale

Wooley

et al. 2020

Preprint

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Background: Currently the diagnosis of shoulder instability, particularly in children, is difficult and can take time. These diagnostic delays can lead to poorer outcome and long-term complications. A Diagnostic Decision Support System (DDSS) has the potential to reduce time to diagnosis improve outcomes for patients. The aim of this study was to develop a concept map for a future DDSS in shoulder instability.Methods: A modified nominal focus group technique, involving three clinical vignettes was used to elicit information physiotherapists decision-making processes.Results: Twenty-five physiotherapists, (18F:7M) from four separate clinical sites participated. The themes identified related to ‘Variability in diagnostic processes and lack of standardised practice’ and ‘Knowledge and attitudes towards novel technologies for facilitating assessment and clinical decision making’. Conclusion: No common structured approach towards assessment and diagnosis was identified. Lack of knowledge, perceived usefulness, access and cost were identified as barriers to adoption of new technology. Based on the information elicited a conceptual design of a future DDSS has been proposed. Work to develop a systematic approach to assessment, classification and diagnosis is now proposed.Trial Registration: This was not a clinical trial and so no clinical trial registry is needed.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing A Diagnostic Decision Support System (DDSS) to Reduce Time To Diagnosis in Paediatric Shoulder Instability

Philp

Faux-Nightingale

Wooley

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…A fundamental requirement for development and implementation of a DDSS is to have explicit clinical decision-making processes. It is also important that DDSS are developed in partnership with the clinical end user from an early stage to facilitate use in a clinical environment [ 19 ]. Within our study it was identified that there is no common structured approach towards assessment and diagnosis, therefore limiting the ability to develop a DDSS around current practice.…”

Section: Discussionmentioning

confidence: 99%

“…A useful and robust DDSS should draw upon existing state of the art clinical decision making processes which subsequently inform treatment allocation. Successful implementation and adoption into clinical practice requires that the DDSS is developed in partnership with the end user group through early stakeholder involvement [ 19 ]. The aim of this study was to elicit the types of information used to make clinical decisions, with the long-term goal of designing and developing appropriate decision support technologies for the assessment and management of children with shoulder instability.…”

Section: Introductionmentioning

confidence: 99%

Implications for the design of a Diagnostic Decision Support System (DDSS) to reduce time and cost to diagnosis in paediatric shoulder instability

Philp

Faux-Nightingale

Woolley

et al. 2021

BMC Med Inform Decis Mak

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Background Currently the diagnosis of shoulder instability, particularly in children, is difficult and can take time. These diagnostic delays can lead to poorer outcome and long-term complications. A Diagnostic Decision Support System (DDSS) has the potential to reduce time to diagnosis and improve outcomes for patients. The aim of this study was to develop a concept map for a future DDSS in shoulder instability. Methods A modified nominal focus group technique, involving three clinical vignettes, was used to elicit physiotherapists decision-making processes. Results Twenty-five physiotherapists, (18F:7 M) from four separate clinical sites participated. The themes identified related to ‘Variability in diagnostic processes and lack of standardised practice’ and ‘Knowledge and attitudes towards novel technologies for facilitating assessment and clinical decision making’. Conclusion No common structured approach towards assessment and diagnosis was identified. Lack of knowledge, perceived usefulness, access and cost were identified as barriers to adoption of new technology. Based on the information elicited a conceptual design of a future DDSS has been proposed. Work to develop a systematic approach to assessment, classification and diagnosis is now proposed. Trial Registraty This was not a clinical trial and so no clinical trial registry is needed.

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“…The requirements elicitation is first stage of requirements engineering process in which product requirements are gathered from its intended users by using different types of elicitation techniques. The requirements elicitation team is responsible to explore the sources of requirements and identify the product stakeholders [1]. The team is also responsible to select an appropriate elicitation technique and elicit the requirements, negotiate with users to resolve the requirements conflicts.…”

Section: Introductionmentioning

confidence: 99%

Predicting Most Productive Requirements Elicitation Teams using MBTI Personality Traits Model

Iqbal*¹,

Shah²,

Khan³

2019

IJEAT

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The social and collaborative nature of requirements elicitation process bases its core dependency on aptitude, attitudes, and personality characteristics of its participants. The participant’s personality characteristics are directly related with their personality traits, which can be categorized using different personality assessment models. The MBTI personality assessment model has been used successfully for the assessment of personality of software engineers since last few decades. In this article, the personality traits for requirements elicitation teams have been predicted using MBTI personality assessment model, on the basis of their industry demanded job descriptions/tasks and major soft skills. The article presents a complete personality prediction process using a systematic approach based on major soft skills mapping with job descriptions, personality attributes and personality traits. The obtained results show that extraversion and feeling personality traits are the most suitable personality traits for requirements analysts/engineers who are assigned the task of requirements elicitation. The obtained results are very much aligned with the already published scholar’s work for software engineer’s personality assessment and development team composition.

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Requirements gathering: the journey

Cited by 25 publications

References 23 publications

Developing A Diagnostic Decision Support System (DDSS) to Reduce Time To Diagnosis in Paediatric Shoulder Instability

Developing A Diagnostic Decision Support System (DDSS) to Reduce Time To Diagnosis in Paediatric Shoulder Instability

Implications for the design of a Diagnostic Decision Support System (DDSS) to reduce time and cost to diagnosis in paediatric shoulder instability

Predicting Most Productive Requirements Elicitation Teams using MBTI Personality Traits Model

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