General Laboratory Description
Dr. Chang directs the Psychometrics-Informatics Laboratory (pi Lab), which aims to integrate advanced psychometrics and evolving informatics to advance our understanding of participation and human health. Just like pi is constant, infinite and universal, the pi Lab is envisioned to share the same ‘advancing human health’ vision, generate endless opportunities and has local and global impacts in rehabilitation and participation sciences.
The pi Lab is guided by the team science principle to serve as a centralized location for students, clinical staff and faculty with unique and complementary expertise to learn and share. Accurate and timely assessment is an important first step for care planning and intervention. Its multidisciplinary approach brings researchers, educators and clinicians together to collectively solve significant issues in biomedical and public health.
The pi Lab specifically focuses on the knowledge translation of measurement theory and data science methods, and the design, development, deployment and dissemination of universally designed data capture, analysis, report and visualization systems to improve our understanding of participation and the impact that being actively engaged in family, work and community participation has on health.
General Description of Student Activities
Students will have the opportunity to participate in lab activities such as literature reviews, assessment tool design, data collection and analysis, presenting results, writing journal articles and working with lab participants. Students will also work with other members of the lab to design and develop the prototype systems and deploy the final products for use in clinical settings. Time requirements are in line with the Program in Occupational Therapy expectations.
Examples of Projects
- Patient-Reported Outcomes Universal Design (PROUD): Utilizing a systematic and integrative approach to design, develop and deploy a patient-reported outcomes assessment and management system across clinical settings and populations
- Dynamic Rehabilitation to Empower Ability Management (DREAM): Using item response theory-based assessment and data visualization to facilitate clinical decision making and therapeutic interventions
- Tailored Education to Advance Competencies in Healthcare (TEACH): Using proven methodology and evolving technology for dynamic assessment and tailored education
- Virtual Academy: Designed to offers free and fee-based online training and education, delivered by experts in rehabilitation, to help clinicians and clinical staff continually learn and improve clinical core competencies via a library of clinical topics that combines on-demand courses, video chats, and tailored delivery of learning materials
- Patient-Clinician MATCH: Matching patient preference and clinician competency to maximize clinical outcomes via activation and participation