Relevant Degree Programs
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
Complete these steps before you reach out to a faculty member!
- Familiarize yourself with program requirements. You want to learn as much as possible from the information available to you before you reach out to a faculty member. Be sure to visit the graduate degree program listing and program-specific websites.
- Check whether the program requires you to seek commitment from a supervisor prior to submitting an application. For some programs this is an essential step while others match successful applicants with faculty members within the first year of study. This is either indicated in the program profile under "Admission Information & Requirements" - "Prepare Application" - "Supervision" or on the program website.
- Identify specific faculty members who are conducting research in your specific area of interest.
- Establish that your research interests align with the faculty member’s research interests.
- Read up on the faculty members in the program and the research being conducted in the department.
- Familiarize yourself with their work, read their recent publications and past theses/dissertations that they supervised. Be certain that their research is indeed what you are hoping to study.
- Compose an error-free and grammatically correct email addressed to your specifically targeted faculty member, and remember to use their correct titles.
- Do not send non-specific, mass emails to everyone in the department hoping for a match.
- Address the faculty members by name. Your contact should be genuine rather than generic.
- Include a brief outline of your academic background, why you are interested in working with the faculty member, and what experience you could bring to the department. The supervision enquiry form guides you with targeted questions. Ensure to craft compelling answers to these questions.
- Highlight your achievements and why you are a top student. Faculty members receive dozens of requests from prospective students and you may have less than 30 seconds to pique someone’s interest.
- Demonstrate that you are familiar with their research:
- Convey the specific ways you are a good fit for the program.
- Convey the specific ways the program/lab/faculty member is a good fit for the research you are interested in/already conducting.
- Be enthusiastic, but don’t overdo it.
G+PS regularly provides virtual sessions that focus on admission requirements and procedures and tips how to improve your application.
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.
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.