||3R44CA078101-03S2 Interpret this number
||Du Pen, Inc.
||Intelligent Knowledge Base for Cancer Pain Treatment
DESCRIPTION: This FAST-TRACK SBIR grant application proposes to determine
the feasibility of building a computerized decision support system for
cancer pain treatment. The investigator's previous NCI research developed
and tested a pharmacologic algorithm method, based on the AHCPR Guideline
for Cancer Pain Management, in the outpatient setting. The pharmacologic
algorithm utilizes an efficacy versus toxicity decision point to funnel
comprehensive assessment data into a treatment recommendations flow chart.
Re-assessment parameters guide follow-up care dependent upon the severity
of pain intensity for patients randomized to the algorithm process during
a controlled trial. The Phase I project will convert the assessment
components of the "paper and pencil" algorithm into a health care workflow
software application. The assessment elements, embedded in the workflow
will undergo data modeling against actual datasets from the original
algorithm study. Feasibility and feature limitations to the workflow
model will be assessed. The long term objective will be to utilize the
optimized assessment workflow application to launch a rapid prototyping of
the complete algorithm into a knowledge-based decision support system.
PROPOSED COMMERCIAL APPLICATION: NOT AVAILABLE
None. See parent grant details.