glinda: automated reasoning for application of clinical guidelines bmir research-in-progress...
Post on 19-Dec-2015
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GLINDA: Automated Reasoning for Application of Clinical Guidelines BMIR Research-in-Progress PresentationCsongor NyulasSamson Tu
Acknowledgement
Funder: National Library of Medicine
Project MembersMark Musen
Mary Goldstein
Susana Martins
Hyunggu Jung
Pamela Kum
Problem Statement
Populations are aging worldwide
Older adults tend to have multiple chronic conditions
Data??
Management of multiple comorbidities presents a challenging problem
Almost all clinical practice guidelines focus on the management of single diseases
May take comorbidities into account
Simultaneous application of multiple guidelines leads to suboptimal care
Research Goals
Develop a modular and extensible platform for exploring informatics and clinical issues
Integrate and reuse best-of-breed knowledge resources and applications
Create methods for detecting, repairing and integrating treatment recommendations from multiple guideliens
Method
Adapt BioSTORM agent architectureTask decomposition
Problem-solving method
Reuse ATHENA CDSS Clinical domains: Hypertension, diabetes mellitus, heart failure, hyperlipidemia, chronic kidney disease
Develop new agents for detecting, repairing, and integrating treatment recommendations
Apply methods on anonymized patient cases from the Stanford STRIDE database
Outline of Method Section
STRIDE patient selection and preparation
BioSTORM agent architecture and its application to GLINDA
ATHENA DSS agents
New agents for detecting, repairing and integrating guideline recommendations
Presentation for review