Public health informaticians provide the leadership needed to ensure that technology is successfully deployed to enable public health response, research, and programmatic goals and outcomes.
Applied Public Health Informatics
In addition to addressing the core competencies that are part of the Executive MPH (EMPH) program, the curriculum also addresses the competencies for public health informaticians.
The growing need for understanding the domains of both public health practice and technology enablement has spurred the emergence of this critical new discipline. Very different from that of a statistician, an IT specialist, or a practitioner, the Applied Public Health Informatician serves as the interface between public health practice and the application of technology, and provides the leadership needed to ensure that technology is successfully deployed to enable response, research, and programmatic goals and outcomes.
The Applied Public Health Informatics track was developed around the 2009 CDC competencies for Public Health Informaticians.
MPH Degree Requirements - Applied Public Health Informatics
42 credit hours, successful completion of a practicum and a capstone
All Rollins MPH and MSPH students are required to complete a 200-400 hour practicum. This practical experience is designed to enhance the student’s understanding and application of knowledge and research findings to public health settings by providing an opportunity to gain practical experience. Public health work environments include nonprofit organizations, hospitals, local health departments, and for-profit firms.
EMPH students must register for PRS 595R: Practicum (2 credit hours) in order to enroll in the practicum.
As part of the practicum requirement, EMPH students must also present their practicum experience via a poster presentation during an on-campus session.
Sample practicum titles for the Applied Public Health Informatics track have included:
Integrated Healthcare Prioritization through Data-Driven Decision Support for Persons with Intellectual/Developmental Disabilities
Assessing Data Validation Methods to Ensure High Data Quality in Clinical Reports
Discrepancies Between Public Health Reporting Requirements for Clinical Lab Practice