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AMIA 2007 Annual Symposium

Scope and Breadth of the Annual Symposium



Thoughtful classification of your submission greatly enhances the quality of the review that it receives. Using the forms below, you will select a topic track and three subject axes reflecting the methods employed, goals or problems addressed, and overall health care domain or venue. This classification helps to ensure that each submission is reviewed by persons knowledgeable about its content. In addition, it helps greatly in structuring the meeting sessions, allowing better grouping of papers and presentations by area of interest. For the topic track, generally speaking, contributions emphasizing information science or general methods will be part of the Foundations track, while those emphasizing specific designs or application to health care problems should be submitted to the Applications track. We recognize that no classification system is perfect and ask you to use your best judgment in making these determinations.

You will be asked to select one area of the classification scheme for Axis I, Axis II, and Axis III along with a Topic Track Category that best describes your submission.

Axis I. METHODS EMPLOYED AND FUNDAMENTAL STRUCTURES USED
I.A. INFORMATION AND KNOWLEDGE REPRESENTATION
I.A.1. Controlled terminologies and vocabularies
I.A.2. Ontologies
I.A.3. Knowledge bases
I.A.4. Data models
I.A.5. Knowledge representations
I.A.6. Knowledge acquisition and knowledge management
I.A.7. Process modeling and hypothesis generation
I.B. INFORMATION AND KNOWLEDGE PROCESSING
I.B.1. Information storage and retrieval (text and images)
I.B.2. Image representation, processing, and analysis
I.B.3. Natural-language processing
I.B.4. Automated learning, discovery, and text and data mining methods
I.B.5. Other methods of information extraction
I.B.6. Speech recognition
I.B.7. Text generation from discrete data
I.B.8. Visualization of data and knowledge
I.B.9. Simulation of complex systems (at all levels: molecules to work groups to organizations)
I.B.10. Modeling physiologic and disease processes
I.B.11. Human-computer interaction and human-centered computing
I.B.12. Uncertain reasoning, temporal reasoning, and decision theory
I.B.13. Statistical analysis of large datasets
I.B.14. Software engineering: architecture, agents, distributed systems
I.B.15. Cryptography, anonymization, and other methods for security and policy enforcement
I.B.16. Advanced algorithms, languages, and computational methods
I.B.17. High-performance and large-scale computing
I.B.18. Mobility, communications, and networking methods
I.B.19. Intelligent tutoring and tailored information representation
I.B.20. Methods for integration of information from disparate sources
I.B.21. Collaborative technologies
I.C. EMPIRICAL RESEARCH METHODOLOGY
I.C.1. Cognitive study (including experiments emphasizing verbal protocol analysis and usability)
I.C.2. Classical experimental and quasi-experimental study methods (lab and field)
I.C.3. Qualitative/ethnographic field study
I.C.4. Legal, policy, historical, ethical study methods
I.C.5. Surveys and needs analysis
I.C.6. Social/organizational study
 
Axis II. DIRECT APPLICATIONS, GOALS OR PROBLEMS ADDRESSED
II.1. Data exchange, communication, and integration across care settings (inter- and intra-enterprise)
II.2. Developing/refining EHR Data standards
II.3. Supporting practice at a distance (telehealth)
II.4. Assuring information system security and personal privacy
II.5 Designing usable (responsive) resources and systems
II.6 Developing/using computerized provider order entry
II.7 Other specific EHR applications (results review, medication administration, etc.)
II.8 Systems to support and improve diagnostic accuracy
II.9 Developing/using clinical decision support (other than diagnostic) and guideline systems
II.10. Developing/using wireless, portable, and in-the-field applications
II.11. System implementation and management issues
II.12. Measuring/improving patient safety and reducing medical errors
II.13. Measuring/improving outcomes in specific conditions and patient subgroups
II.14. Improving health care workflow and process efficiency
II.15. Demonstrating return on IT investment
II.16. Improving government and community policy relevant to informatics and health quality
II.17. Detecting disease outbreaks & biological threats
II.18. Monitoring the health of populations
II.19. Delivering health information and knowledge to the public
II.20. Personal health records and self-care systems
II.21. Systems supporting patient-provider interaction
II.22. Identifying genome and protein structure and function
II.23. Linking the genotype and phenotype
II.24. Identifying, representing, and modeling biological structures
II.25. Translational research - application of biological knowledge to clinical care
II.26. Providing just-in-time access to the biomedical literature & other health information
II.27. Applications that link biomedical knowledge from diverse primary sources (includes automated indexing)
II.28. Enhancing the conduct of biological/clinical research and trials
II.29. Establishment of digital libraries
II.30. Improving the education and skills training of health professionals
 
Axis III. APPLICATION DOMAINS
III. A. Health Care Providers (emphasizing care of individuals, including home care)
III. B. Public Health (emphasizing health of populations)
III. C. Biomedical Research (basic research and clinical research)
III. D. Education of Health and Biomedical Professionals and Consumers
III. E. Administration/Management of Health-related organizations
III. F. Health Libraries and Librarianship
III. G. Industry
III. H. Government and Health Policy

AMIA 2007
Annual Symposium
Sponsors


Elsevier
GE Healthcare
glaxosmithkline
Kaiser Permanente
Lockheed Martin
Marshfield Clinic
Microsoft Research
Partners Healthcare
University of Tennessee, Health Science Center
Vanderbilt University Medical Center