Lisa Ferguson is a Program Manager in the Department of Learning Health Sciences. In this role, she accomplishes the objectives of the department by overseeing a portfolio of Learning Health System (LHS) projects and initiatives. Lisa has almost 6 years of experience leading a variety of complex Academic Research projects here at the University of Michigan. She also has over 25 years of experience working in the health IT industry in a variety of professional leadership roles including in the areas of project management, consulting, software development, vendor and client contract negotiations and resource/capacity planning. Lisa received her Bachelor of Business Administration from the University of Toledo, and her Master of Science in Information from the University of Michigan. Prior to joining the Department of Learning Health Sciences, Lisa worked for Shared Medical Systems, Siemens Health Services and Cerner Corporation.
Lisa enjoys reading, dining out, traveling and spending time with friends and family.
Areas of Interest
Areas of responsibility: Contributes information and recommendations for LHS project planning, prepares and completes project plans; implements productivity, quality, and service standards; identifies risks and mitigation strategies; resolves problems; identifies trends; determines system improvements and implements changes to achieve LHS operational objectives.
Research and scholarly interests: Interests include Learning Health Systems, Learning Communities, EMERSE, Information Retrieval, Healthcare Information Technology, Human Computer Interaction, Quality and Process Improvement
Subject-matter expertise: Healthcare Information Technology, Project Management, Trusted Service Provider, Professional Services Consulting, Resource Planning and Deployment, Quality Improvement, Strategic Planning and Budgeting, Revenue Forecasting, Training/Instruction, Event Planning, Vendor and Contract Negotiation
Verchinina, L., Ferguson, L., Flynn, A., Wichorek, M., & Markel, D. (2018). Computable Phenotypes: Standardized Ways to Classify People Using Electronic Health Record Data. Perspectives in Health Information Management. https://perspectives.ahima.org/computablephenotypes/
Ferguson, L., Rentes, V. C., McCarthy, L., & Vinson, A. H. (2021). Collaborative conversations during the time of COVID‐19: Building a “meta”‐learning community. Learning Health Systems, e10284. https://onlinelibrary.wiley.com/doi/10.1002/lrh2.10284
Harris, M. R., Ferguson, L. A., & Luo, A. Infrastructuring an Organizational Node for a Federated Research and Data Network: A Case Study from a Sociotechnical Perspective. Journal of Clinical and Translational Science, 1-39. https://www.cambridge.org/core/journals/journal-of-clinical-and-translational-science/article/infrastructuring-an-organizational-node-for-a-federated-research-and-data-network-a-case-study-from-a-sociotechnical-perspective/C1837DDD286B4783D9034A23D21007A9#