Department of Biomedical Informatics

BMI Course Information

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BMI 201 Introduction to Clinical Informatics (3)

Instructor Information

Fall 2009

Course not offered

Spring 2009

Course not offered

Catalog Description
Introduction to existing and future applications in clinical informatics. This third course in the series provides an introduction to biomedical informatics techniques and applications that aim to improve the quality and efficiency of clinical care. These includes searching and organizing free text information, decision analysis techniques and clinical decision support systems, and clinical applications including physician order entry used in electronic medical records. This course also covers challenges in clinical informatics, including socio-technical and cognitive issues in implementation and use.

Prerequisites
BMI 102

Textbook and Other Materials
Shortliffe, E. Cimino, J. (Editors) Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics). Third edition.

Course Learning Outcomes
Students who successfully complete the course will:
1. Differential between information retrieval precision and recall.
2. Evaluate the trade-offs between structure information and natural language processing techniques.
3. Construct and evaluate normative decision models.
4. Describe the functions of a clinical information management system.
5. Discuss the importance and challenges of standards and interoperability in clinical systems.
6. Evaluate the place of CPOE, and decision support in EMRs.
7. Recognize the cognitive and organizational biases in health care that impact computer use in health care environment.

Major Topics and Time Covered
Information Retrieval (1 week)
- MEDLINE and other indexes of interest
- the limits of manual curation - approaching the web
- precision and recall

Natural Language Processing (2 weeks)
- definition + difficulties
- clinical applications
- literature mining

Decision Analysis (3 weeks)
- What is decision analysis?
- Mathematical foundations of decision analysis
- Sensitivity, specificity, ROC, Bayes
- Assessing uncertainty, risk preferences and outcome values
- Heuristics, biases and psychology of choice
Decision support (1 week)
- historical perspective (expert systems)
- current applications

Clinical Information Management (2 weeks)
- hospital information infrastructure: clinical, laboratory, billing, pharmacy systems etc.
- integration issues
-data standards and interoperability

The EHR (1 week)
- CPOE
- implementation and acceptance issues
- integrated decision support

Informatics support of clinical research (1 week)

Cognitive Issues (1 week)
- usability studies
- cognitive approaches to medical decision making + error

Telemedicine (1 week)
- history + applications

Closing session and review (1 week)
- future trends