Kate Weber, MS

Health Infrastructures and Learning Systems (HILS) PhD Student
Senior Business Intelligence Analyst, University of Michigan School of Dentistry

Biography

Kate Weber is a Health Infrastructures and Learning Health Sciences PhD student. She also is proprietor of Sirius Analytics Group and the Sr Business Intelligence Analyst for the U-M School of Dentistry, where she provides a range of data analysis, interpretation, and visualization services to the school's academic, clinical, and research communities. She is a member of the School's Learning Health System Task Force, and has been providing analyses of the school's deep data resources to support the Task Force's early exploratory work.
 
Her earlier work focused on service management and change management in public sector Information Technology, culminating as the Director of Service Management for British Columbia's Government and K-12 voice and data services. Kate earned her BA in Telecommunications at Michigan State University. She is an avid cyclist and outdoors enthusiast.
 
What attracted you to the HILS program?
 
The HILS program knits together the people, process, and technology aspects of change in health care in a way that leverages my experience.  I look forward to developing a strong analytical toolbox for supporting the whole learning cycle at the School.
 
Advisor: Vinod Vydiswaran

Areas of Interest

I am interested in predictive analytics, natural language processing, visualization that engages and invites exploration, and critical evaluation of the results of analyses to ensure that they really say what they claim to say. Clinical domains of interest include patient attendance and cancellation patterns, continuity of care, facilitating standardized caries risk assessment in the EHR, tailored messaging for patients, impacts of EHR replacement, and patient retention between the emergency visit and ongoing care.

Published Articles or Reviews

Publications

Simon, L., Singh Dhaliwal, G., Liu, C.H.J., Sharma, P., Thomas, S., Bettag, S., Weber, K.G., Timothé, P. and Nalliah, R.P., 2019. Characteristics of Patients Discontinuing Care. Dentistry journal, 7(2), p.31.

Weber K, Eber R, DaSilva A, Dault JT, Huner K, Jones D, Lapidos A, Ramaswamy V, Snyder M, Ward B, Nalliah RP, 2021. Using business intelligence and data visualization to understand the characteristics of failed appointments in dental school clinics. J Dent Edu 85(4) 521-530. PMID: 33508149. doi: 10.1002/jdd.12538

 

Manuscripts in preparation/submitted for review

 

Weber K, Jones D, Kornman K, Nalliah RP, Vydiswaran V. (in preparation) Using graph community detection algorithms to identify clusters of patients with similar underlying needs.

 

Talks

 

Weber K. (2019). Integrating Qualtrics and Canvas for Clinical Grading. Given at the University of Michigan Qualtrics Summit., Ann Arbor, MI

 

Weber K. (2019). The Computable Patient History - Using Natural Language Processing and Graph Databases to Bring Text Health Histories to Life. Accepted for the University of Michigan IT Symposium (2019), Ann Arbor, MI

 

Posters

 

Weber K, Eber R, DaSilva A, Dault JT, Huner K, Jones D, Lapidos A, Ramaswamy V, Snyder M, Ward B, Nalliah RP. (2018) Using Data Analytics to Understand Characteristics of Failed and Kept Appointments. Poster presented at the Learning Health Systems Symposium, Ann Arbor, MI

 

Weber K, Eber R, DaSilva A, Dault JT, Huner K, Jones D, Lapidos A, Ramaswamy V, Snyder M, Ward B, Nalliah RP. (2018) Using Data Analytics to Understand Characteristics of Failed and Kept Appointments. Poster presented at the Precision Health Symposium, Ann Arbor, MI

 

Springfield, E, Weber, K. (2018). Data that Plays Well with Others: Extending Canvas with APIs. Poster presented at the Michigan IT Symposium, Ann Arbor, MI

Web Sites