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Health Informatics

Health Informatics

Potential Elective Coursework

Elective Courses: 19 units minimum required.  Other Elective Courses, not listed below, are available within the University of Californina, Davis, advisor approval required.

Health Informatics Electives:

MHI 207 Medical Decision Support

W
Units: 4
Instructor: 
James Greene, M.D., M.S.
Health Informaticist
Department of Pathology and Laboratory Medicine

Course description: Course explores decision support systems for medical application. Topics include medical decision making, uncertainty, review of existing decision support systems, knowledge engineering, data mining, and knowledge based systems.

MHI 208 Health Informatics in Web-Based Enterprise

S
Units: 4
Instructor:
Mark J. Carroll, M.P.H.
Director
Health Informatics - Office of Medical Education
Senior Lecturer, Department of Medical Pathology and Laboratory Medicine - Division of Pathology Informatics

Course description:
The purpose of the course is to introduce the student to the decision making processes and technologies that are involved in developing web based distributed enterprise applications in medicine. It should focus on the Informatician's role as a team member.

MHI 211 Telemedicine (online)

S                                                                                                                                                                                                                                                                                            Units: 4
Instructor: 
Peter Yellowlees, M.B.B.S., M.D.
Professor, Department of Psychiatry and Behavioral Science

Course description: This course is designed to address necessary issues for the development and maintenance of a successful telemedicine program with focus on strategic planning, clinical applications, project management, risk management and legal issues; reimbursement and contracting; human resources and program sustainability.

MHI 212 Computer Security in Health Informatics

F
Units: 4
Instructor: 
Sean Peisert, Ph.D.
Assistant Adjunct Professor
Department of Computer Science
Staff Scientist, Computational Research Division - Lawrence Berkeley National Laboratory

Course description: Critical thinking about basic concepts in computer security and privacy. How the computer security and privacy impact health informatics, ranging from electronic health records to telemedicine to remote, virtual surgery.

MHI 289A Special Topics: Advanced Clinical Data Acquisition

W, S
Units: 1-5
Instructor:
T.B.D.
Course description: Special topics in data acquisition.

MHI 289F Database and Knowledge Management

W
Units: 4
Instructor:
Michael Hogarth, MD
Chair, Health Informatics Graduate Group
Professor, Department of Pathology and Laboratory Medicine
Professor, Department of Internal Medicine
Director, Pathology Informatics, Dept. of Pathology and Laboratory Medicine

Course description:  Introduces the student to the relational database concepts of normalization, SQL queries and interface design. Students start with basic text filed requirements and go through the process of sequential development of a logical data model followed by normalization to a 3rd normal form and implementation of a physical data model.

MHI 289H Virtual Reality, Simulation & Robotics

W
Units: 4
Instructor:
Alberto Odor, MD
Associate Adjunct Professor, Betty Irene Moore School of Nursing
Health Informatics Graduate Program

Course description:  Introduces the student to how modern computer graphics have led to VR-Sim-Rob applications, and how they are modifyting the teaching of medicine and in some cases, the diagnosis and treatment of patients.

 

Courses are offered quarterly

F =  Fall, W =  Winter, S = Spring, Su = Summer

 

Engineering: Biological and Agricultural

ABT 180 Introduction to Geographical Information Systems (4 units)

Engineering: Biomedical

BIM 242 Introduction to Biomedical Imaging (4 units)
BIM 246 Magnetic Resonance Technology (3 units)

Engineering: Electrical & Computer

EEC 160 Scripting Languages (4 units)
EEC 206 Digital Image Processing (4 units)
EEC 207 Pattern Recognition and Classification (3 units)
EEC 208 Image Analysis and Computer Vision (3 units)
EEC 209 Multimedia Compression Processing (4 units)

Graduate School of Management

MGT 206 Decision Making and Management Sciences (3 units)
MGT 207 Management Information Systems (3 units)
MGT 250 Technology Management (3 units)
MGT 251 Management of Innovations (3 units)
MGT 287 Business Data and Information Management (3 units)

Neurobiology, Physiology and Behavior

NPB 163 Information Processing in Neuroscience and Psychology (4 units)

SOM: Epidemiology and Preventative Medicine

EPI 222 Epidemiology Modeling (3 units)
EPI 223 Spatial Epidemiology (4 units)
EPI X 425 Introduction to Public Health (3 units)
EPI 205A Principles of Epidemiology (3 units)

SOM: Public Health Sciences

 SPH 273 Health Systems and Administration (3 units)
 SPH 262 Principles of Environmental Health (3 units)

SOVM: Preventative Veterinary Medicine

MPM 402 Medical Statistics (4 units)
MPM 408A Veterinary Research (2 units)