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BMI 502 Foundations of Biomedical Informatics Methods I (3)

Instructor Information
Fall 2009	Kahol, Kanav
Spring 2009	Course not offered

Catalog Description
The first semester of a two semester course surveying the methods and theories underlying the field of biomedical informatics.

Prerequisites
General BMI Admission Criteria
Some experience with computers and a passing familiarity with medicine will be useful.

Textbook and Other Materials
Shortliffe EH and Cimino JJ (eds). Biomedical Informatics Computer Applications in Health Care and Biomedicine, 3rd edition. 2006.

Course Learning Outcomes
Students who complete this course will be able to:

Understand theoretical foundations and current applications of informatics in health sciences and health care delivery systems.
- Clinical information systems (includes telemedicine).
- Biological information systems (includes Bioinformatics, Pharmacy informatics, and Computation Biology).
- Imaging systems
- Population health information systems (includes consumer health systems).
- Health care management and reimbursement systems.

Understand information management issues and become intelligent users of data management systems
- An understanding of major database models, including a working knowledge of the relational model.
- The ability to analyze data management tasks and to conceive and implement effective data models in a relational database system including biological databases.
- The ability to use Structured Query Language to create, manage and interrogate relational databases.
- A general understanding of database security issues and privacy.
- An understanding of the XML framework for data markup, data interchange, XML application and validation.
- The ability to query remote information systems via web services or other protocols and to ingest data into a local file or data management system.
- The ability to distinguish types of metadata and familiarity with standards for discipline- or industry-specific metadata standards.

Major Topics and Time Covered
The course explores techniques in mathematics, logic, decision science, computer science, engineering, cognitive science, management science and epidemiology, and demonstrates the application to health care and biomedicine.

- Knowledge representation, knowledge acquisition and knowledge use
- Databases (modeling, design, data mining, security)
- Ontology, Graph Theory, Logic
- Topics in Clinical Informatics (Clinical Systems, Clinical Data, Computer-Based Patient Records, Hospital information systems, Standards for Clinical Systems, Integrated Delivery Networks and Information Systems, Mobile Technology for Patient Care, Decision Support Systems, Patient Monitoring Systems, Pharmacy informatics)
- Topics in Bioinformatics (ontologies and functional genomics, biological data types and acquisition, knowledge representation and modeling of biological information and systems, genomic data analysis methods, protein networks and pathways data analysis methods, advanced biomedical data analysis, integrating genetic and phenotypic data, function prediction and data model integration, basic approaches to text mining in bioinformatics)
- Cognition and Information Process (Perception, Comprehension, Reasoning, Naturalistic (Team Interactions), Human-computer Interaction (Interface heuristics)).
- Biostatistics (Rates, Ratios, Tables and Graphs, Descriptive Statistics, Correlation Analysis, Probability and Probability Models, Estimation of a Mean, Introduction to Hypothesis Testing). These methods will be taught in connection with the above topics and sequenced through BMI 502 and BMI 505.