Ejike Anusiem, MHI
Primary Appointment
Lecturer
School of Information
he/him/his
Enhancing clinical health outcomes with AI-driven reporting solutions
Ejike Anusiem's global health work focuses on increasing clinical health outcomes by implementing effective reporting measures. His interests in global health equity align with the Center's themes of strengthening systems for health and developing technical solutions. Anusiem's research explores how artificial intelligence can be utilized to extract and interpret data types through natural language processing to create and automate reports for health outcomes.
Contact Information
eanusiem@umich.eduCountry Focus
United States
Thematic Priorities
Strengthening health systems
Technical solutions
Health Equity Focus
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Cultural competency
No items found.
Data science
Artificial intelligence, large language models, machine learning
Findable, accessible, interoperable, reuseable (FAIR) principles & ethical, legal, social implications (ELSI)
Healthcare communications
eHealth/telehealth
Healthcare promotion and prevention
No items found.
Healthcare quality
Care coordination
Health outcomes
Patient safety
Quality improvement
Social justice and equity
Access to care
Activism and advocacy
Eliminating poverty
Economic development
Financing
Publications
This member doesn't have Publications yet.
Related researchers & members
Join the CGHE community
CGHE membership connects you to a university-wide network of health equity researchers, funding opportunities, global partners and a community that takes this work as seriously as you do.