Vision: developing collaborative model-driven apps for personalised care plans

Hourieh Khalajzadeh; John Grundy; Jennifer McIntosh

doi:10.1145/3550356.3559100

Vision: developing collaborative model-driven apps for personalised care plans

Hourieh Khalajzadeh, John Grundy, Jennifer McIntosh

Department of Software Systems & Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

We present a proposal for designing collaborative, human-centred care plans to improve the quality of life for people living with disabilities and/or chronic diseases. This position paper proposes the design of a novel set of domain-specific visual languages and collaborative tools to allow end-users to easily specify their requirements and communicate with domain experts and clinicians to design and develop personalised care plan-supporting mobile apps. The visual languages will have the capacity for "Modeling the human aspects of stakeholders and end-users of the software, such as age, gender, personality, emotions, disability and preferences". Expected outcomes include an eHealth solution providing an improved capability for individuals to design and manage their own care plans. Benefits include enabling marginalised and vulnerable people to more easily communicate with practitioners, receive community support and be actively involved in their care planning.

Original language	English
Title of host publication	Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
Editors	Thomas Kühn, Vasco Sousa
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	929-933
Number of pages	5
ISBN (Electronic)	9781450394673
DOIs	https://doi.org/10.1145/3550356.3559100
Publication status	Published - 2022
Event	International Workshop on Human Factors in Modeling/Modeling of Human Factors 2022 - Montreal, Canada Duration: 24 Oct 2022 → 24 Oct 2022 Conference number: 6th https://research.webs.upv.es/hufamo22/

Conference

Conference	International Workshop on Human Factors in Modeling/Modeling of Human Factors 2022
Abbreviated title	HuFaMo 2022
Country/Territory	Canada
City	Montreal
Period	24/10/22 → 24/10/22
Internet address	https://research.webs.upv.es/hufamo22/

Keywords

care planning
Domain-specific visual languages
Human-centred
Model-driven engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3550356.3559100

Cite this

Khalajzadeh, H., Grundy, J., & McIntosh, J. (2022). Vision: developing collaborative model-driven apps for personalised care plans. In T. Kühn, & V. Sousa (Eds.), Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (pp. 929-933). Association for Computing Machinery (ACM). https://doi.org/10.1145/3550356.3559100

Khalajzadeh, Hourieh ; Grundy, John ; McIntosh, Jennifer. / Vision : developing collaborative model-driven apps for personalised care plans. Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. editor / Thomas Kühn ; Vasco Sousa. New York NY USA : Association for Computing Machinery (ACM), 2022. pp. 929-933

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title = "Vision: developing collaborative model-driven apps for personalised care plans",

abstract = "We present a proposal for designing collaborative, human-centred care plans to improve the quality of life for people living with disabilities and/or chronic diseases. This position paper proposes the design of a novel set of domain-specific visual languages and collaborative tools to allow end-users to easily specify their requirements and communicate with domain experts and clinicians to design and develop personalised care plan-supporting mobile apps. The visual languages will have the capacity for {"}Modeling the human aspects of stakeholders and end-users of the software, such as age, gender, personality, emotions, disability and preferences{"}. Expected outcomes include an eHealth solution providing an improved capability for individuals to design and manage their own care plans. Benefits include enabling marginalised and vulnerable people to more easily communicate with practitioners, receive community support and be actively involved in their care planning.",

keywords = "care planning, Domain-specific visual languages, Human-centred, Model-driven engineering",

author = "Hourieh Khalajzadeh and John Grundy and Jennifer McIntosh",

note = "Funding Information: Support for this research from ARC Laureate Program FL190100035 is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2022 ACM.; International Workshop on Human Factors in Modeling/Modeling of Human Factors 2022, HuFaMo 2022 ; Conference date: 24-10-2022 Through 24-10-2022",

year = "2022",

doi = "10.1145/3550356.3559100",

language = "English",

pages = "929--933",

editor = "Thomas K{\"u}hn and Vasco Sousa",

booktitle = "Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

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Khalajzadeh, H, Grundy, J & McIntosh, J 2022, Vision: developing collaborative model-driven apps for personalised care plans. in T Kühn & V Sousa (eds), Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. Association for Computing Machinery (ACM), New York NY USA, pp. 929-933, International Workshop on Human Factors in Modeling/Modeling of Human Factors 2022, Montreal, Canada, 24/10/22. https://doi.org/10.1145/3550356.3559100

Vision : developing collaborative model-driven apps for personalised care plans. / Khalajzadeh, Hourieh; Grundy, John; McIntosh, Jennifer.

Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. ed. / Thomas Kühn; Vasco Sousa. New York NY USA : Association for Computing Machinery (ACM), 2022. p. 929-933.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Vision

T2 - International Workshop on Human Factors in Modeling/Modeling of Human Factors 2022

AU - Khalajzadeh, Hourieh

AU - Grundy, John

AU - McIntosh, Jennifer

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PY - 2022

Y1 - 2022

N2 - We present a proposal for designing collaborative, human-centred care plans to improve the quality of life for people living with disabilities and/or chronic diseases. This position paper proposes the design of a novel set of domain-specific visual languages and collaborative tools to allow end-users to easily specify their requirements and communicate with domain experts and clinicians to design and develop personalised care plan-supporting mobile apps. The visual languages will have the capacity for "Modeling the human aspects of stakeholders and end-users of the software, such as age, gender, personality, emotions, disability and preferences". Expected outcomes include an eHealth solution providing an improved capability for individuals to design and manage their own care plans. Benefits include enabling marginalised and vulnerable people to more easily communicate with practitioners, receive community support and be actively involved in their care planning.

AB - We present a proposal for designing collaborative, human-centred care plans to improve the quality of life for people living with disabilities and/or chronic diseases. This position paper proposes the design of a novel set of domain-specific visual languages and collaborative tools to allow end-users to easily specify their requirements and communicate with domain experts and clinicians to design and develop personalised care plan-supporting mobile apps. The visual languages will have the capacity for "Modeling the human aspects of stakeholders and end-users of the software, such as age, gender, personality, emotions, disability and preferences". Expected outcomes include an eHealth solution providing an improved capability for individuals to design and manage their own care plans. Benefits include enabling marginalised and vulnerable people to more easily communicate with practitioners, receive community support and be actively involved in their care planning.

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BT - Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

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ER -

Khalajzadeh H, Grundy J, McIntosh J. Vision: developing collaborative model-driven apps for personalised care plans. In Kühn T, Sousa V, editors, Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. New York NY USA: Association for Computing Machinery (ACM). 2022. p. 929-933 https://doi.org/10.1145/3550356.3559100

Vision: developing collaborative model-driven apps for personalised care plans

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

HCMDSE: Human-centric Model-driven Software Engineering

Cite this

Vision: developing collaborative model-driven apps for personalised care plans

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Projects

HCMDSE: Human-centric Model-driven Software Engineering

Cite this