- 16 Videos
- 10 Quizzes
- 2 Surveys
- 24 Texts
- 3 PDFs
- 3 Disqus
- 3.0 hrs
The evolving reimbursement landscape and changes in federal and state policies are putting pressure on healthcare professionals to adapt to new technologies. This informative, comprehensive online course has been created to provide much-needed context for data teams. Learners will discover how government policy and healthcare payment models impact electronic health record creation and how data is used.
Learners will earn a Certificate of Completion at the end of the course, having developed an understanding of the cultural and technological pressures involved in complying with policy, and why it can create a distrust of technology or data. This course is appropriate for anyone in a data-facing role that needs to understand more about how policy has shaped the data they see. This is a tool-agnostic course and is not intended to be a complete review or endorsement of any particular tools.
This course is suitable for:
- Any health analytic stakeholder that is new to healthcare
- Individuals who want to develop a greater understanding of how health policy shapes the tools they use and the data they receive
Time to Complete
Approximately 6 hours for videos, activities, and knowledge checks. You can take this course from anywhere, on your own time, whenever it is convenient for you.
Course fees are $149USD, and payment is accepted securely by credit card. Simply fill out the form on this page. You’ll then receive a prompt to enter your payment details. Once completed, your space in this course will be secured.
Certificate of Completion
Upon successful fulfillment of course requirements, you’ll be awarded a Certificate of Completion to add to your resume and portfolio.
Note from the Instructor, Dr. Monica Horvath
I know from personal experience just how hard it is to orient someone new to healthcare to the unique soup of acronyms and governmental policies that shape the data we use in health analytics. We designed this course to give learners a fast-track introduction to the healthcare policy environment in the US as it pertains to the electronic health record data that is used in analytics projects. The course provides essential context to both appreciate and plan around potential obstacles of future data-driven investigations. Whether you are new to healthcare, or want to understand how your beloved informatics tools are being shaped to collect, store, and report patient data, this course will provide invaluable perspective.
Monica is a health intelligence and health services research thought leader with nearly two decades of experience in research methodology, informatics, analytics, and healthcare. As the Director of Health Intelligence for ThotWave, Monica provides thought leadership for care organizations interested in elevating their data and analytics literacy enterprise-wide. She helps organizations understand their analytics adoption maturity and develop strategies and tactics to achieve the learning health system paradigm. Previously, Monica led a multidisciplinary, enterprise Health Intelligence team at Duke Medicine using analytics to evaluate health information technology approaches and their impact on financial endpoints, care design, and patient outcomes.
Always committed to teaching and growing data literacy among healthcare stakeholders, Monica is an adjunct instructor at the Duke University School of Nursing where she teaches health analytics for the Masters of Science in Nursing program. She is also a frequent speaker at national conferences that discuss the interplay between data-driven thinking and culture in healthcare organizations.
Monica holds a Ph.D in Molecular Biophysics (Computational Biology concentration) from University of Texas Southwestern Medical Center, a BS in Chemistry from the University of Pittsburgh, and held a postdoctoral position at the National Institute of Environmental Health Sciences.
Monica is firm believer that everyone, from the patient to the provider, plays an important role in gleaning insights from data.
Don't hestitate to reach out to the instructor and ask questions! We love helping people learn about Healthcare Analytics!