Clinical images are essential to both the delivery of health-care services and the education of health-care providers. Increasingly, digital images are available online. However, electronically sharing information about images and indexing them to facilitate retrieval of clinically relevant data, pose challenging information management problems. The long-term objective of this proposal is to develop a generalized approach to annotating images with relevant clinical and anatomic information, organized to facilitate the clinical use of those images. To realize this goal a set of tools will be developed to create, store, retrieve, and distribute online annotated clinical images, incorporating structured annotations based on an anatomic knowledge base. The annotation scheme will be developed in collaboration with pathologists, anatomists, clinicians, and other image consumers. It will then be validated in the domain of radiology through development of an example clinical education/clinical reference application, which will include annotated anatomic and pathologic images. A generalized, domain-independent image annotation scheme may be useful beyond medical education, with applications in clinical information interchange, telemedicine, and direct patient care.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Applied Medical Informatics Fellowships (F38)
Project #
5F38LM000086-02
Application #
6325507
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Florance, Valerie
Project Start
1999-07-01
Project End
2001-06-30
Budget Start
2000-07-01
Budget End
2001-06-30
Support Year
2
Fiscal Year
2000
Total Cost
$65,000
Indirect Cost
Name
University of Washington
Department
Anatomy/Cell Biology
Type
Schools of Medicine
DUNS #
135646524
City
Seattle
State
WA
Country
United States
Zip Code
98195
Lober, W B; Trigg, L J; Bliss, D et al. (2001) IML: An image markup language. Proc AMIA Symp :403-7