Rutgers SHP - RG admin
 
 
 
 
Department of Health Informatics
Biomedical Informatics
BINF5145 - Disease Processes and Systems
 
Course Description
This course addresses the need for future health informatics professionals to have a sound basic understanding of the diseases and treatments described by the data they will oversee, process and analyze. It will also assist graduate students in biomedical informatics in understanding the disease-relevant relationships within their data sets, and assist their development of new clinically applicable algorithms.
Over the semester we will survey human diseases, current clinical interventions, and future directions for diagnosis and therapy. The course is organized first by disease mechanism and then by organ system. It will integrate informatics approaches with a basic understanding of human diseases and current treatments, including evolving medical technologies such as nanomedicine, and how those technologies will impact the diagnosis, evaluation and treatment of medical conditions in the future.
 
Credits/Modes of Instruction
Credits:  3
Online and On Campus
 
Prerequisites
None.
 
Course Goals and Outcomes:
Goals
 
Outcomes
Upon completion of this course students will be able to demonstrate comprehension in the following main areas:
1. Basic terminology used in human diseases
2. Etiology of diseases of each body system
3. Identifying the predisposing factors of human diseases
4. Identifying the effects of aging as relates to diseases
5. Identifying the signs and symptoms and diseases
6. Identifies common diagnostic testing of diseases
7. Identifies basic management of diseases
8. Distinguish environmental factors, physical, psychosocial, and cognitive characteristics of various diseases and conditions
9. Recognize the implications of therapeutic interventions for common diseases and conditions