Graduate Curriculum Committee Course Proposal Form

for Courses Numbered 5000 and Higher

Note: Before completing this form, please carefully read the accompanying instructions.

1. Course prefix and number: 2. Date:

3. Requested action (check only one box):

X / New Course
Revision of Active Course
Revision & Unbanking of a Banked Course
Renumbering of an Existing Course from
from / # / to / #

4. Justification (assessment or accreditation based) for new course or course revision or course renumbering:

Based on the interests and needs of other units in the university for a curriculum in health informatics as well as an assessment of the knowledge and skills required of practicing health informatics professionals, the HSIM graduate faculty determined that this course should be included in the curriculum of the proposed Health Informatics certificate program from the Department of Health Services and Information Management in the College of Allied Health Services.

5. Course description exactly as it should appear in the next catalog:

6450. Decision Support in Health Care (3) P: Consent of instructor. Theories and applications of decision science in health care.

6. If this is a course revision, briefly describe the requested change:

7. Graduate catalog page number from current graduate catalog:

8. Course credit:

Lecture Hours / 3 / Weekly / OR / Per Term / Credit Hours / 3 / s.h.
Lab / Weekly / OR / Per Term / Credit Hours / s.h.
Studio / Weekly / OR / Per Term / Credit Hours / s.h.
Practicum / Weekly / OR / Per Term / Credit Hours / s.h.
Internship / Weekly / OR / Per Term / Credit Hours / s.h.
Other (e.g., independent study) Please explain.
Total Credit Hours / 3 / s.h.
20

9. Anticipated annual student enrollment:

10. Affected degrees or academic programs:

11. Overlapping or duplication with affected units or programs:

X / Not Applicable
Notification & response from affected units is attached

12. Approval by the Council for Teacher Education (required for courses affecting teacher education programs):

X / Not Applicable
Applicable and CTE has given their approval.

13. Statements of support:

a. Staff

X / Current staff is adequate
Additional Staff is needed (describe needs in the box below):

b. Facilities

X / Current facilities are adequate
Additional Facilities are needed (describe needs in the box below):

c. Library

X / Initial library resources are adequate
Initial resources are needed (in the box below, give a brief explanation and an estimate for the cost of acquisition of required initial resources):

d. Computer resources

X / Unit computer resources are adequate
Additional unit computer resources are needed (in the box below, give a brief explanation and an estimate for the cost of acquisition):
ITCS Resources are not needed
The following ITCS resources are needed (put a check beside each need):
Mainframe computer system
Statistical services
Network connections
Computer lab for students
Software
Approval from the Director of ITCS attached

14. Course information: see Instructions for Completing the Graduate Curriculum Committee Course Proposal Form for more detail.

a.  Textbook(s): author(s), name, publication date, publisher, and city/state/ country

Farrokh ALemi and David H. Gustafson, Decision Analysis for Healthcare Manager (2006). Health Administration Press, Chicago, IL.

b.  Course objectives student – centered behavioral objectives for the course

At the conclusion of the course, students should be able to:

1.  Make structured decisions in various health care settings

2.  Assess different decision models

3.  Quantify uncertainty in decision making

4.  Construct a decision tree based on probabilities and utilities.

5.  Make inferences from a constructed decision tree

6.  Construct a knowledge base to represent a subject matter

7.  Perform data mining on various data sets to make data driven decisions.

8.  Analyze the performance of clinicians or facilities by using benchmarks

9.  Conduct a cost effective analysis in order to compare and contrast decision models

10.  Use root-cause analysis to identify causes of outcome insufficiency

11.  Model group decision making in health care management

12.  Reconcile conflicts in decision making process

c.  A course topic outline

1.  Introduction

a.  Introduction to the course

b.  Basic concepts of decision analysis

2.  Modeling preferences

a.  Modeling values

b.  Methods for assessing single attribute value function

c.  Model evaluation

d.  Multi-attribute utility models

3.  Measuring uncertainty

a.  Probability

b.  Bayes’ theorem

c.  Independence

4.  Modeling uncertainty

a.  Target event

b.  Divide and conquer

c.  Estimate likelihood ratios

d.  Validate the model

5.  Decision trees

a.  Solicitation process

b.  Estimating the probabilities

c.  Estimating the utilities

d.  Analysis of decision tress

e.  Sensitivity analysis

f.  Sequential decisions

6.  Modeling group decisions

a.  Integrative group process

b.  Consensus building

7.  Root Cause Analysis

a.  Bayesian Network

b.  Predictions from Root Cause

c.  Reverse predictions

8.  Cost effective analysis

a.  Decision analytic model

b.  Estimate probability

c.  Estimate the cost

d.  Calculate the expected cost

9.  Security risk analysis

a.  Definitions

b.  Procedures for conducting a focused risk analysis

10.  Program evaluation

a.  Decision oriented evaluation design

b.  Mock evaluation

11.  Conflict analysis

a.  Methodology

12.  Benchmarking clinicians

a.  Motivations

b.  Benchmarking

c.  Limitations

13.  Knowledge representation

a.  Formalisms

b.  Knowledge acquisition

14.  Data mining

a.  Algorithms

b.  Machine learning

d.  A list of course assignments and weighting of each assignment and the grading/evaluation system for determining a grade.

Assignment (60%)

Six assignment s will be given to students during the semester

1.  Modeling experts’ value (10%)

2.  Modeling experts’ uncertainty (10%).

3.  Constructing a decision tree (10%).

4.  Root Cause Analysis (10%).

5.  Benchmarking clinicians (10%).

6.  Knowledge representation of cardiovascular diseases (10%).

Evaluation of Students

The final grade will be composed as follows:

Quality Participation 10%

Assignments 60%

Final Exam 30%

Grading Scale:

A - 90 - 100

B - 80 - 89

C - 70 - 79

F - below 60