Informatics Methods in Biomedicine: Foundations of a Profession

1. Informatics Methods in Biomedicine: Foundations of a Profession

3. Post-doc Clinical Preclinical

4. Formal • Mathematical, technical • Ontology • Database theory • Signal processing • Sequence analysis • Formal grammars • Process models • Software engineering • Empirical • Cognitive, behavioral, organizational • Experimental design • Data modeling • Visualization • Decision analysis • Project management • User interface • Applied • A core set of methods for implementing and evaluating solutions • Deployment methods • Implementation issues • Assess impact

6. Computer Science • Can apply computational techniques to manage data,develop software and solve problems • Database Systems • Machine Learning • Programming and Problem Solving • Advanced Software Engineering

7. Statistics • Can apply mathematical techniques to analyze data and test hypotheses • Introduction to Biostatistics • Introduction to Biostatistical Methods

8. Biomedical • Is conversant with concepts, terminology, institutions, professionals, and methods of biomedical domain • Biochemistry and Molecular Biology • Acculturation to Medicine • Physiology • Epidemiology

9. Informatics Knowledge Is familiar with theories and results in Medical Informatics, and able to apply basic methods to solve problems • Methods in Medical Informatics (logic, decision science, cognitive science) • Introduction to Medical Informatics Applications

10. Informatics Methods • Logic • Formal Grammars • Ontology • Database theory • Decision Theory • Cognitive Analysis • Process Models • Measurement Theory

12. Data Representation • Can analyze, develop, and apply representations of biomedical data • Representation and Coding of Medical Data

13. Information Systems • Can analyze, develop, deploy and manage complex information systems • Health Information Systems Architecture • Introduction to Information Management

14. Information Presentation • Can analyze, develop, and deploy visual presentations of biomedical information • User Interfaces in Medicine • Understanding Information

15. Decision Making • Can analyze, develop, and apply formal models of biomedical decision making • Quantitative Models for Medical Decision Making and Clinical Support • Cognitive Sciences and Medical Informatics • Social and Economic Factors in Clinical Decision Making

16. Evaluation • Can analyze, plan and carry out formal evaluations of information systems • Evaluation Methods in Medical Informatics • Design of Medical Experiments • Introduction to Sociomedical Sciences Research Methods

18. Clinical Application Domain • Economics of Informatics • Project Management • Interactive Health Communications • Introduction to Databases and Data Mining

19. Imaging Application Domain • Biomedical Imaging • Analysis and Quantification of Medical Images • Wavelet Applications • Computation Neural Modeling and Neuroengineering

20. Bioinformatics Application Domain • Intro to Genomics • Computation Genomics • Sequence Analysis • Microarrays and Regulatory Networks • Biological Database

21. Public Health Application Domain • Use of Large Scale national health care data sets • Hospital Organization and Management • Health Communications

23. Biomedical Research Planning & Data Analysis Knowledge Acquisition Data Acquisition Model Development Image Generation Information Retrieval Treatment Planning Human Interface Diagnosis Teaching Applying Bioinformatics Knowledge to Research Areas Biomedical Knowledge Biomedical Data Real-time acquisition Imaging Speech/language/text Specialized input devices Machine learning Text interpretation Knowledge engineering Knowledge Base Data Base Inferencing System

25. Thanks to Dr. Stephen B. Johnson Dr. Ted Shortliffe