I believe informatics education should be practical, accessible, and grounded in real-world applications. I’ve developed and taught courses across multiple institutions, focusing on health informatics, data analytics, and process improvement.
Current Courses
IHS 6801: Health Information Systems and Applications
Ohio University · Graduate · Online
A comprehensive exploration of Health Information Systems (HIS) and their applications within healthcare organizations. Students engage with both foundational and advanced technologies, focusing on the design, acquisition, evaluation, and management of HIS. The course also explores the impact and integration of Artificial Intelligence (AI) in healthcare, addressing issues like system selection, data analytics, and ethical concerns.
Topics: HIS architecture and functionalities, system selection and acquisition, AI in healthcare, ethical and regulatory aspects of health IT, case studies of health IT implementations
IHS 5513: Health Informatics for the Health Professions
Ohio University · Graduate · Online
An introduction to the principles, goals, standards, and applications of health informatics in clinical environments. Designed for students from both technical and clinical backgrounds, this course covers the expanding role of information technology in healthcare delivery and provides a theoretical and practical introduction to the sociotechnical issues of these systems.
Topics: Electronic health records, health information exchange, interoperability, clinical decision support systems, data analytics, privacy and security, telehealth and mHealth
IHS 6803: Program Planning and Evaluation in Healthcare
Ohio University · Graduate · Online
An overview of program management foundations following Lean Six Sigma principles. Students learn the five stages of DMAIC (Define, Measure, Analyze, Improve, Control) and apply these tools through a course-long mock improvement project. Part of the Clinical Informatics Certificate program.
Topics: DMAIC methodology, workflow analysis, process mapping, stakeholder management, Voice of the Customer, continuous improvement in healthcare
PBHL E647: Introduction to Population Health Analytics
Indiana University · Richard M. Fairbanks School of Public Health · Graduate · Online
Examines the use of analytics and big data in population health within governmental public health agencies and health systems. Students gain technical skills to perform analytics in support of real-world use cases, with practical demonstrations using the open-source machine learning software Weka and the R programming language.
Topics: Data mining, machine learning, population health data analysis, R programming, predictive modeling, healthcare analytics applications
HIN 770: Foundations of Data Analytics
University of New England · Graduate · Online
Develops a foundation in data preparation and preliminary analytics using R, applicable to research, quality improvement, and large-scale data analytics projects in healthcare settings.
Past Courses
| Course | Institution | Level | Years |
|---|---|---|---|
| Clinical Informatics Intensive Workshop | Ohio University | Continuing Education | 2018–2019 |
| PUBH 520: Fundamentals of Biostatistics | University of Montana | Graduate | 2020 |
| HLTH 3100: Essentials of Health Informatics | University of North Georgia | Undergraduate | 2020 |
| HED 4420: Public Health Informatics | University of Nebraska at Omaha | Undergraduate | 2016–2020 |
| BIO 1000: Introduction to Bioinformatics | University of Nebraska at Omaha | Undergraduate | 2017 |
| BMI 8100: Introduction to Biomedical Informatics | University of Nebraska at Omaha | Graduate (TA) | 2013 |
Teaching Philosophy
My approach to informatics education centers on practical application. Students learn best when they can connect concepts to real-world problems—whether that’s analyzing population health data, improving clinical workflows, or evaluating health IT systems. I emphasize critical thinking over rote memorization, and I design assignments that mirror the kinds of challenges students will face in their careers.
I also believe in meeting students where they are. Many of my students come from clinical backgrounds with limited technical experience, while others are technologists new to healthcare. Effective informatics education bridges these perspectives.