Morgan Price

Associate Professor

Research Classification

Health Information Systems

Research Interests

family medicine
eHealth Adoption
eHealth Requirements Engineering
eHealth Ux/UI Design
software engineering
decision support systems
Treatment Adherence
Consumer eHealth
Health System Improvement
primary care
Team-based care

Relevant Thesis-Based Degree Programs


Research Methodology

Lead User Method
Pragmatic quasi-experimental studies
Patient Oriented Research
Usability Inspection / Testing
Mixed methods
action research
Design Research
User-centred Design


Master's students
Doctoral students
Postdoctoral Fellows
Any time / year round

Our lab is based in Victoria and connected to both the Island Medical Program and UVic Computer Science. We have a range of projects including: eHealth related projects connected to community based Electronic Medical record design and assessment of adoption; action research projects with partners related to health system improvement using EMRs in practice; consumer mHealth projects related to use of technology for patient reported outcomes in aging and in treatment adherence

I support public scholarship, e.g. through the Public Scholars Initiative, and am available to supervise students and Postdocs interested in collaborating with external partners as part of their research.
I support experiential learning experiences, such as internships and work placements, for my graduate students and Postdocs.
I am open to hosting Visiting International Research Students (non-degree, up to 12 months).
I am interested in hiring Co-op students for research placements.

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Graduate Student Supervision

Doctoral Student Supervision

Dissertations completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest dissertations.

Documenting behaviour change processes and designing system improvements using the example of prescribing physical activity in primary care (2023)

Changing human behaviour is complex, especially in the context of chronic disease management; it can present challenges to patients, providers, and the entire healthcare system. This dissertation was guided by the sociotechnical systems approach. It adapted and applied multiple methodologies to explore behaviour change at different levels of chronic disease management, specifically: the Lead User Method, the Theory of Distributed Cognition, sociotechnical systems theory, the Theoretical Domains Framework, Personas, i* Framework, and the Behaviour Change Technique Taxonomy v1. Methods used within the dissertation included semi-structured co-creative interviews and a rapid prototyping and co-design process. A primary aim of the dissertation was to document existing practice and inform behaviour change challenges for physical activity prescription in primary care. A secondary aim of the dissertation was to explore a theoretical and methodological basis for behaviour change strategies for physical activity prescription in primary care.A novel method was developed and piloted offering a practical way of addressing behaviour change interventions in primary care settings and viewing behaviour change within primary care from a sociotechnical systems perspective. It also provided a way to document and inform improvements to the process for prescribing physical activity in primary care by using a visual approach to the discussion where lead users co-design potential solutions to identified problems. The system-level goal model and behaviour change technique clusters were created to inform the potential design of an information technology tool that would support behaviour change interventions in primary care aimed at increasing physical activity levels as a way to manage non-communicable diseases.Future work stemming from this research has the potential to address the complexity of human behaviour change from a sociotechnical systems perspective both within different settings of primary care and beyond the context of primary care.

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Designing user interface requirement patterns for a genomically enabled clinical decision support system using frailty assessment as a prototypical example (2020)

At present, the pervasive integration of genomics and other big data into routine clinical care has not been realized, particularly in primary care. One of the critical problems of personalized medicine is an effective and efficient presentation of large genomic data and evolving knowledge in a generalist clinical encounter setting. To address this issue, this study aimed to design and evaluate a user interface for a genomic clinical decision support system intended for primary care physicians. This was a serial, multiple-methods study. This study focused on frailty and the clinically actionable aspects of the frailty lifecycle, such as risk assessment. In phase one of this research, the Lead User method for the participatory design was used for the design of the user interface for genomically-enabled decision support. The concept ideation phase was followed by the design synthesis process in phase two. Phase two generated a set of system-agnostic and evidence-based requirement patterns and an integrated user interface design based on the patterns. In phase three, the integrated design was validated with Representative Users, and the patterns were refined. The key novel contributions of this work were user interface requirement patterns for genomically-enabled clinical decision support and a requirement integration method that supported the pattern development. The nineteen novel and validated requirement patterns are geared towards primary care providers as clinical users. The produced patterns addressed the presentation of CDSS notifications at the point-of-care and the display of detailed personalized risk information, including the risk factors and suggested interventions to address risk. These patterns are technology-agnostic and provide information to future implementers of clinical information systems. Producing theoretically-grounded and user-validated design patterns for presenting large evolving clinical data and knowledge, rather than a particular implementation, allows for this work to be relevant in various software-intensive clinical systems and contexts. Methodologically, the study contributed by developing a requirement integration method that is practical, reproducible, and applicable to a wide variety of design problems where it is necessary to synthesize multiple design perspectives. The method ensures traceability of requirement origin and evolution. It supports theory-informed design and triangulation of evidence.

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Membership Status

Member of G+PS
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Vancouver Island - Victoria

Program Affiliations


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