We propose medical computing research to explore methods of knowledge acquisition and knowledge base management for integrated advice systems, specifically in the area of randomized clinical trials. ONCOCIN, an ongoing NIH-supported research project to develop an advice system for clinical trials in oncology, will provide the initial development environment for these knowledge management tools. Our goal is to develop interactive tools of two major types: 1. Tools that will allow physicians both to design new research protocols and to enter predefined protocols directly into the computer, without needing to rely on a computer programmer (knowledge engineer) for assistance. The resulting knowledge base will then be used by the ONCOCIN program when it provides advice and data management support for patients on these new protocols. 2. Tools that will allow a knowledge engineer to maintain a knowledge base, explore its contents, encode specialized knowledge not able to be entered directly by the physician, and create new programs for use by experts wishing to enter experimental protocols in medical domains other than oncology. In developing the interactive tools for use by physician experts, we will develop three subprograms: (1.1) a knowledge acquisition system (known as OPAL) to allow oncologists to enter new protocol knowledge for ONCOCIN without assistance from computer scientists, (1.2) a facility for graphical review of existing protocol information, and (1.3) software for automatic generation of text documents that describe encoded protocols. These programs will permit rapid entry of new oncology protocols for ONCOCIN and will also serve as """"""""computer aided design"""""""" tools for oncologists developing new protocols. In developing the interactive tools for use by knowledge engineers, we will also develop three subprograms: (2.1) a graphics-based editor for review and modification of protocol knowledge so that concepts may be entered even if they cannot be encoded using the knowledge acquisition system, (2.2) routines to permit extension of the knowledge acquisition system so that physicians may enter previously unspecifiable concepts, and (2.3) a system for creating entirely new knowledge acquisition systems for other types of clinical trials.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Research Project (R01)
Project #
5R01LM004420-03
Application #
3373684
Study Section
Biomedical Library Review Committee (BLR)
Project Start
1985-09-01
Project End
1988-08-31
Budget Start
1987-09-01
Budget End
1988-08-31
Support Year
3
Fiscal Year
1987
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
Schools of Medicine
DUNS #
800771545
City
Stanford
State
CA
Country
United States
Zip Code
94305
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Walton, J D; Musen, M A; Combs, D M et al. (1987) Graphical access to medical expert systems: III. Design of a knowledge acquisition environment. Methods Inf Med 26:78-88
Musen, M A; Rohn, J A; Fagan, L M et al. (1987) Knowledge engineering for a clinical trial advice system: uncovering errors in protocol specification. Bull Cancer 74:291-6