The Bowie State University collaborative program on public health informatics and technology (PHIT) creates a continuous pipeline of highly-trained, diverse and inclusive health information technology workers, responding to calls for a public health workforce to better respond to future public health and biological threats such as COVID-19.
Bowie State University faculty are engaged in teaching and research on PHIT. Students learn:
- how health information technologies are used in hospitals, clinics, public health settings, government repositories, Internet, and other media
- how the business of health responds to the latest discoveries through first-hand exposure to current research and industry trends in practice
- how to apply practical management skills and build innovative business solutions for large health care and public health issues
The PHIT program includes:
- fundamentals of data science
- public health analytics based on public health reporting
- IT concepts of public health emergency preparedness and response
- principles of healthcare interoperability
- integration of multiple data streams including non - healthcare sources
BSU works with leading healthcare, public health, and IT institutions as well as numerous stakeholders from other non-health sectors.
- Prince George's County Health Department
- The Spring Grove Medical Center
- Medstar Health
- Greater Baden Medical Services
- Stakeholders and other organizations
The BSU faculty involved in PHIT are comprised of high-level professionals from health, public health, public health management, public health informatics, and technology experts.
- Dr. Birthale Archie
- Dr. Azene Zenebe
- And others
Recent Research Results
The scientists from the computer science department of the BSU, in collaboration with MedStar Health, have developed a new high resolution method to diagnose heart anomalities.
The scientists from the computer science department of the BSU, in collaboration with the Maryland Health Department, have developed a method based on health data analytics and deep machine learning to predict the trend in the number of COVID-19 infectons in the state.