1. NSF Break-out Group: Medical Informatics Coordinator: Wanda Pratt Scribe: Betty Salzberg

2. High-Level Challenge The balancing act The balancing act  Medically useful  Informatics research challenge – not service!  Win-win collaborations

3. NSF Strengths over NIH Non-disease specific Non-disease specific Broad perspective Broad perspective Applicability to a large class of medical problems Applicability to a large class of medical problems Further fundamental research in Information & Data Management Further fundamental research in Information & Data Management Innovative, long-term, risky vision Innovative, long-term, risky vision

4. Characteristics of Biomedical Domain Data, Information, Knowledge Data, Information, Knowledge  Voluminous  Dirty, biased, based on implicit assumptions  Uncertain  Dynamic  Long lived  Textual, visual, & spatiotemporal Environment Environment  Requires privacy & security measures  Life critical  Busy users  Different types of users (e.g., physicians, nurses, biologists, technicians, patients, etc.)

5. Implications for Research Directions Spans all CISE themes Spans all CISE themes  Ontologies  Data & information integration  Knowledge discovery and analysis  Human-computer interaction  Software engineering

6. Ontologies Development by domain experts Development by domain experts Maintenance as knowledge changes Maintenance as knowledge changes Connected to data and information that support it Connected to data and information that support it Support of multiple perspectives Support of multiple perspectives

7. Information Integration Diversity Diversity  Systems to process and store information  Sources of information  Types of information (text, sensor data, images, sound, etc.) High documentation needs High documentation needs  Links to sources  Assumptions of sources  Privacy and security regulations

8. Knowledge Discovery and Analysis Processing large volumes Processing large volumes Finding useful patterns Finding useful patterns Detecting and dealing with redundancy Detecting and dealing with redundancy Accounting for uncertainty Accounting for uncertainty Showing connections Showing connections Revisiting old information/data when we have new knowledge Revisiting old information/data when we have new knowledge

9. Human-Computer Interaction & Software Engineering Spans everything Spans everything  Ontologies  Information integration  Knowledge discovery and analysis

10. Recommendations for NSF $$$$  Funding for overhead of data cleaning & management  Funding for programmers  Funding for biomedical collaborators