PRICE: a personalized recursive intelligent cost effectiveness analysis framework for rare disease diagnosis
PRICE is a novel cost-effective analysis framework that captures the sequential and recursive nature of real-world diagnostic workflows, with the ability to be extended to future AI-integrated clinical practice. It enables personalized evaluations of diagnostic strategies from both economic and clinical perspectives, promoting more informed and individualized decision-making for rare disease diagnosis.
Authors
- Cong Liu (ORCID: https://orcid.org/0000-0001-6024-3037)
- Junyoung Kim (ORCID: https://orcid.org/0000-0001-5023-4030)
- Yujing Yao
- Mengshu Nie
Institutions
- Boston Children's Hospital (US)
- Columbia University Irving Medical Center (US)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1186/s12911-025-03277-0
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00