Rutgers, The State University of New Jersey
School of Health Professions
 
About the University
Message from the Dean
School Administration
School of Health Professions Mission and Vision
School/Program Accreditations
Rutgers University Learning Goals
School of Health Professions Learning Outcomes
Academic Programs Available
Faculty Listing
Office of Enrollment Management and Student Success
Clinical Laboratory and Medical Imaging Sciences
Clinical and Preventive Nutrition Sciences
Health Informatics
Health Information Management, B.S., Undergraduate Certificate
Clinical Research Management - Biopharma Educational Initiative, M.S., Certificate
Health Informatics, M.S.
Health Information Management, M.S.
Health Informatics, Doctorate
Degree Options
Full-Time and Part-Time Status
Program Description
Program Director and Location
Program Learning Goals
Program Learning Outcomes
Admissions Requirements
Requirements for Graduation and Course Descriptions
Healthcare Informatics, Graduate Certificate
Medical Coding, Certificate
Faculty
Interdisciplinary Studies
Physician Assistant Studies and Practice
Psychiatric Rehabilitation and Counseling Professions
Rehabilitation and Movement Sciences
Academic Policies and Procedures
Divisions of the University
Camden Newark New Brunswick/Piscataway
Catalogs
  School of Health Professions 2021-2023 Catalog Health Informatics Health Informatics, Doctorate  

Health Informatics, Doctorate

Health Informatics Profession

Health informatics refers to the study of information processing as it relates to health care. It is concerned with the organization, storage, and structuring of vast quantities of health-related data. In the broader sense it is the process of data-driven knowledge, and then using that knowledge to develop algorithms, models, and systems for use in health care delivery and pharmaceutical and clinical research. Examples of health informatics applications include Clinical Decision Support Systems (CDSS), specialized software ranging from information retrieval systems, electronic prescribing linked to electronic health records systems, to more sophisticated decision support tools using artificial intelligence and machine learning techniques into drug kinetics, patient risk stratification, and the like.
 
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