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PhD Degree Matrix of Courses Effective Fall 2007

by Deborah A Todd last modified 2009-08-17 09:38

List of courses to meet the degree requirements in the PhD program in Health Informatics.

The matrix below is effective for all PhD students beginning study in Fall Semester 2007. The matrix was designed to improve the quality of your educational experience by providing additional background skills and knowledge that are fundamental to the ability to study informatics, and by providing foundational courses that provide a core set of informatics skills and knowledge. The matrix allows flexibility in course selection. Prefoundational courses may count as support courses with your advisor's approval.

If your first semester in the Master's program was prior to Fall 2007, you may choose to meet the requirements of the new matrix or continue with the old matrix. If you wish to use the new matrix, you must inform Debbie Todd. Even if you choose to continue under the old matrix, you are strongly advised to speak to your advisors about taking some of the newly offered prefoundational and foundational courses on the new matrix.

Prefoundational
 courses
foundational
courses

basic
informatics
research
informatics

advanced
courses

other
 requirements

HI 5004 Intro to Clinical Healthcare (R1)

HI 5003 Molecules to Man in HI (R2)

HI 5006 Information Technology for Biomedicine (R3)

HI 5007 Data Structures and Algorithms in Biomedicine (R3)

HI 5005 Essential  Math for HI (R4)

HI 5000 Technical Writing for Health Informatics (R5)



HI 5310 Foundations of Health Information Sciences I

HI 5311 Foundations of Health Information Sciences II

HI 5313 Foundations of Health Information Sciences III

HI 5309 Introduction to Health Data and Electronic Health Records

HI 5301 Health Care Information Systems

HI 5001 Special Topics: Scientific Visualization

HI 5303 Decision Making in Healthcare

HI 5305 Legal Ethical Issues in Health Informatics

HI 5306 Health Information Security Systems

HI 5307 Systems Analysis for Health Informatics

HI 5308 Object Oriented Systems Development in Health Informatics

HI 5321 Biomedical Signal Processing

HI 5323 Image Processing

HI 5340 Intro to Learning Evironments in Health Science

HI 5354 Cognitive Engineering I in Health Informatics

HI 6303 Intro to Telehealth

HI 5314 Technology Assessment in Healthcare

HI 5315 Quality and Outcome Improvement in Healthcare

HI 5316 Emerging Technologies for Teaching, Learning and  Research

HI 5324 Nanomedicine  in Healthcare

HI 5380 Principles and Foundation in Public Health Informatics

HI 5381 Methods in Public Health Informatics

HI 5382 Synthesis Project of Public Health Informatics


HI 5001/6001 Special Topics in Health Informatics
HI 5350 Evaluation in Health Informatics

HI 5351 Research and Evaluation in Health Informatics

HI 5352 Statistical Solutions for Health Informatics Problems

HI 5353 Data Analysis

HI 5341 Environment Development in Health Science

HI 5370 Methods in Computational Biomedicine

HI 6307 Cognitive Engineering II

HI 6308 Consumer Informatics

HI 6310 Knowledge Modeling II

HI 6351 Triangulation Methods in Health Informatics

HI 7301 Grant Writing
HI 5304 Advanced Database Concepts

HI 6300 Advanced Health Information Systems

HI 6301 Health Data Display

HI 6302 Knowledge Modeling and Engineering I

HI 6304 Consultation in Health Informatics

HI 6305 Social Dynamics and Health Informatics

HI 6306 Comparative Taxonomy

HI 6309 Healthcare Interface Design

HI 6311 Advanced Decision Analysis I

HI 6312 Project Management in Healthcare

HI 6313 Scientific Writing in Healthcare

HI 6320 Intro to Computational Aspects of Biomedicine

HI 6321 Applied Computational Biomedicine

HI 6322 Advanced Topics in Computational Biomedicine

HI 6323 Datamining in Bioinformatics

HI 6324 Computational Cognitive Neuroscience

HI 6325 Reasoning and Decision Making in Medicine

Support courses 6 hrs.

HI 7000 Preceptorship  9 hrs.

HI 7150 Research Seminar 3 hrs

HI 7050 Research in Health Informatics 21 hrs

HI 9999 Dissertation in Health Informatics 9 hrs
As advised (see below)
9 hrs minimum
6 hrs minimum
12 hrs minimum
6 hrs minimum
48 hrs

The Doctoral degree requires a minimum of 93 graduate credit hours.

Notes:

R1: Advised for all PhD students without US Healthcare System Experience

R2: Advised for all PhD students without training in anatomy, physiology, and genetics

R3: Advised for all PhD students without equivalent education or  experience in IT/Computer Science/Computer Programming

R4: Advised for all PhD students without previous education in calculus, discrete math, and differential equations

R5: Advised for all students without a demonstrated record of technical writing (such as first author published papers)

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