Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention.

David F Lobach Ellis B Johns Barbara Halpenny Toni-Ann Saunders Jane Brzozowski Guilherme Del Fiol Donna L Berry Ilana M Braun Kathleen Finn Joanne Wolfe Janet L Abrahm Lorinda A Coombs

Published in: JMIR medical informatics (2016)

A rule-based CDS system for complex symptom management was systematically developed and tested. The complexity of the algorithms required extensive development and innovative testing. The Web service-based approach allowed remote access to CDS knowledge, and could enable scaling and sharing of this knowledge to accelerate availability, and reduce duplication of effort. Patients and HCPs found the system to be usable and useful.

Keyphrases

clinical decision support
healthcare
end stage renal disease
quantum dots
randomized controlled trial
ejection fraction
machine learning
patient reported
chronic kidney disease
newly diagnosed
mental health
peritoneal dialysis
prognostic factors
social media
patient reported outcomes