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

Hourieh Khalajzadeh, John Grundy, Jennifer McIntosh

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review


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 languageEnglish
Title of host publicationProceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
EditorsThomas Kühn, Vasco Sousa
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages5
ISBN (Electronic)9781450394673
Publication statusPublished - 2022
EventInternational Workshop on Human Factors in Modeling/Modeling of Human Factors 2022 - Montreal, Canada
Duration: 24 Oct 202224 Oct 2022
Conference number: 6th


ConferenceInternational Workshop on Human Factors in Modeling/Modeling of Human Factors 2022
Abbreviated titleHuFaMo 2022
Internet address


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

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