Tera L. Reynolds
Photo credit: Research Graphics at UMBC
I am an Assistant Professor in the Department of Information Systems at the University of Maryland, Baltimore County.
In my research, I take a socio-technical lens to understand how we can improve the design and implementation of technologies that connect, facilitate interaction, and support the independent and collaborative health work of individuals (e.g., patients, general public/citizens) and health professionals (e.g., doctors, public health practitioners). Examples of such technologies include patient portals, Apple Health Records, and COVID-19 Contact Tracing applications. I am particularly interested in examining how we can mitigate the risk of these technologies exacerbating health disparities by providing another advantage to already advantaged groups (referred to as intervention-generated inequalities or digital health disparities).
Ultimately, through my research I aim to engage and empower patients and citizens, particularly those that need it the most (e.g., fewer resources, lower self-efficacy), to harness the power of their data to improve their health and the health of their communities, and to be active participants in their collaborations with health professionals.
Primary research areas: Health Informatics, Human-Computer Interaction (HCI), Computer-supported Cooperative Work (CSCW), and Public Health.
In my research, I take a socio-technical lens to understand how we can improve the design and implementation of technologies that connect, facilitate interaction, and support the independent and collaborative health work of individuals (e.g., patients, general public/citizens) and health professionals (e.g., doctors, public health practitioners). Examples of such technologies include patient portals, Apple Health Records, and COVID-19 Contact Tracing applications. I am particularly interested in examining how we can mitigate the risk of these technologies exacerbating health disparities by providing another advantage to already advantaged groups (referred to as intervention-generated inequalities or digital health disparities).
Ultimately, through my research I aim to engage and empower patients and citizens, particularly those that need it the most (e.g., fewer resources, lower self-efficacy), to harness the power of their data to improve their health and the health of their communities, and to be active participants in their collaborations with health professionals.
Primary research areas: Health Informatics, Human-Computer Interaction (HCI), Computer-supported Cooperative Work (CSCW), and Public Health.
