
Research to Improve Timely Diagnosis of Type 2 Diabetes
Lily Bigelow '25
Biomedical Engineering
Commonwealth Honors College
Upton, Massachusetts
What drew you to this field of study?
I've been interested in health-related fields since high school, and I knew that I wanted to pursue a career that would allow me to dive deep into science while helping people with their health. I entered UMass as a nursing major but soon switched to engineering because I wanted to support patients in a more technical way. During my sophomore year, I discovered health data analytics and was captivated by how it helps doctors and patients behind the scenes. I think there is so much power in understanding data and being able to bring it to life visually. Data is at the heart of so many decisions, especially in health care, and it can be a real force for good in improving health and medicine.
How do you conduct your research?
For my current project, I am creating process maps, or visual workflow diagrams, to show the steps that primary care clinicians—often the first line in helping patients with health concerns—take to diagnose Type 2 diabetes in adults. These maps help us see where obstacles might be stopping doctors from making timely and accurate diagnoses, which are essential for providing the right treatment. Delays in diagnosis often affect groups who already face unfair disadvantages in health care, which worsen existing inequalities. By mapping out the diagnostic process, we can identify specific challenges, find areas for improvement, and suggest changes to help doctors and clinics provide faster and fairer care. While this project focuses on Type 2 diabetes, it could eventually help prevent diagnostic delays for other conditions, improving primary care for everyone and reducing the risks of severe complications and even death.
To create the process maps, I first gather interview data from doctors and nurses to better understand their thought processes and actions when diagnosing or contributing to the diagnosis of Type 2 diabetes. Then, I use this data to model each step and decision they make to arrive at a final diagnosis.
I am also using this interview data to perform sentiment analysis, which categorizes emotions from language. From this analysis, I hope to provide context for some of the steps or decisions that clinicians take to form a diagnosis.
I am so proud to be a part of a diverse and supportive research community that challenges me and allows me to grow.
How does your faculty mentor support your research?
Muge Capan, assistant professor of mechanical and industrial engineering, is a fantastic mentor and incredible support for my research. When I first began working with Professor Capan, I knew almost nothing about how to analyze data and visualize it meaningfully. However, she welcomed me regardless and taught me the fundamentals of conducting quality research. I have learned so much from her and have been given great opportunities to grow as a researcher, even publishing findings in a manuscript. I am very grateful for her help and guidance.
What do you find most exciting about your research?
I’m excited by the constant challenge to learn new skills and broaden my perspective. Every project presents numerous opportunities to grow, whether it's learning a new analysis technique or exploring an unfamiliar topic. There is never a lull in my research, and I feel very motivated to keep exploring different ways to solve complex problems in health care. Additionally, knowing that this research has the potential to positively impact the lives of others makes my research not only exciting but very fulfilling.
What are you most proud of?
I feel incredibly proud to have co-authored a published paper and to have been involved in multiple projects since beginning my research journey. Each project has been a unique learning experience, giving me the chance to work alongside talented and knowledgeable individuals who bring diverse perspectives and expertise to the table. I am so proud to be a part of a diverse and supportive research community that challenges me and allows me to grow.
How has your research enhanced your overall educational experience at UMass?
Conducting research has equipped me with stronger data analysis and visualization skills, which are valuable for not only my research but also for any work I do in my classes. It has also given me a unique perspective within my major. This is especially true for my engineering senior design project, where I am developing a mobile application to improve appointment scheduling and management of diabetic complications. This experience has provided a practical way to use what I've learned in both my classes and my research, bridging the gap between theory and real-world application.
What are your plans for the future?
I would first like to gain hands-on experience in health data analytics work. In the long term, I also hope to pursue graduate studies to further expand my skill set and, ultimately, a career that involves research.
Why would you recommend UMass to a friend?
I would highly recommend UMass to a friend because of the number of learning opportunities available. The research conducted at UMass is amazing, and there are countless ways to make an impact both inside and outside your field. But beyond academics, I’ve met some of my closest friends here, and I believe this is due to the sense of community that UMass fosters. It's a place where you can find your niche and feel supported as you explore your interests.