Diabetes Design, Informatics, and Innovation Lab
To make a meaningful impact on individual health and health outcomes, researchers need to be unafraid to tackle new methodologies, collaborate with individuals with skills and talents outside of the the biomedical research complex, and embrace technology in research given that we live in a networked, connected world.
I am formally trained in clinical and health services research with a Masters in Public Health, but I also use methods of design ethnography, participatory design, human-centered design, quality improvement science, and digital/social media communications in my work. I have fantastic collaborators at large in the community as well as from multiple schools at the University of Michigan (Schools of Information, Art and Design, Computer Science & Engineering). Funding for my work comes from NIH as well as private sources. For more details, you can reference my CV. Below are highlights of current projects:
We are collaborating with members of the Nightscout community to learn about diabetes hacking, making, and innovation in the community, uses and applications of mobile technology in diabetes, and the role of social media in health communication and dissemination. We are also very interested in creating opportunities for participatory design, citizen science, and open science diabetes research. We just published a viewpoint about Nightscout in JAMA. If you are interested in participating and/or following our work , please sign up for our email list: http://eepurl.com/bGKk8H.
Design of a Learning Health System for Type 1 Diabetes
With colleagues from the @T1DExchange and the @C3N Project, we are designing a learning health system for type 1 diabetes. We are working with patients, caregivers, clinicians, information technology specialists, systems design experts, quality improvement specialists, and community organizers to design and create this system. For more information about our work, please view the Storify from design meeting 1 and design meeting 2.
Data Visualization and Mobile Technology for Diabetes
We are using principles of human-centered design to understand how to create effective context-aware mobile technology systems and patient-centered personalized interactive data visualizations for individuals with type 1 diabetes (funded by an R21 from AHRQ).
Conventional and Metabolomic Biomarkers for Identifying Children with Prediabetes and Type 2 Diabetes
This project is funded by an NIH R01 grant to study the longitudinal performance of conventional and metabolomic biomarkers for identifying children with prediabetes and type 2 diabetes. Please see http://umichdiabetesstudy.com/ for more information about eligibility and study requirements.
Artificial/Virtual Reality for Type 1 Diabetes
We are creating a new model of diabetes education using artificial/virtual reality! Find more information about the original project here!