MEDI-2

MEDI-2 provides comprehensive medication–indication mappings for analysis of electronic health records to support drug utilization studies, off-label use detection, and pharmacovigilance.


Key Features:

  • Expanded dataset: Contains 3,031 prescribable medications and 186,064 indications, representing a 13% increase in medications and more than a threefold increase in indications compared to MEDI-1.
  • High Precision Subset (HPS): MEDI-2 HPS comprises indications verified within RxNorm or corroborated by at least three additional resources to improve reliability.
  • Enhanced natural language processing extraction: Indications were extracted using natural language processing from six publicly available resources: RxNorm, Side Effect Resource 4.1, Mayo Clinic, WebMD, MedlinePlus, and Wikipedia.
  • Performance and evaluation: Overall precision is 0.60 and HPS precision is 0.92; overall recall is 0.89 (up from 0.79 in MEDI-1) and HPS recall is 0.65 (up from 0.55), with combined MEDI-1 and MEDI-2 recall of 0.95.

Scientific Applications:

  • Drug utilization analysis: Enables in-depth analyses of prescribing and medication use patterns within EHR data.
  • Off-label and secondary use investigation: Supports identification and study of off-label or secondary medication uses.
  • Pharmacovigilance and adverse event monitoring: Improves contextualization of adverse events by providing indication mappings for medications.

Methodology:

Indications were systematically extracted using natural language processing and ontology relationships across RxNorm, Side Effect Resource 4.1, Mayo Clinic, WebMD, MedlinePlus, and Wikipedia.

Topics

Details

License:
CC-BY-NC-SA-3.0
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
2/17/2022
Last Updated:
2/17/2022

Operations

Publications

Zheng NS, Kerchberger VE, Borza VA, Eken HN, Smith JC, Wei W. An updated, computable MEDication-Indication resource for biomedical research. Scientific Reports. 2021;11(1). doi:10.1038/s41598-021-98579-4. PMID:34556781. PMCID:PMC8460636.

PMID: 34556781
PMCID: PMC8460636
Funding: - National Institutes of Health: P50 GM115305