Using EMR Data to Support Budget Impact Modeling
A large pharmaceutical company needed to
demonstrate the potential cost savings of placing a new drug on payer formularies.
Calculating Adherence in the Presence of Variable Follow-Up
A small-size pharmaceutical company was interested in using real-world evidence to compare adherence between two formulations of an oral oncology treatment for Multiple Myeloma (MM).
Using Real-world Data to Support Product Label Change
A mid-size pharmaceutical
company was interested in
obtaining real-world evidence
demonstrating the safety and
effectiveness of higher dosage
chemotherapy for a labeled
oncology indication.
Patient Risk Assessments × Deep 6 AI
A client needed to develop an algorithm to identify patients at risk for chronic obstructive pulmonary disease (COPD) exacerbations via structured and unstructured EHR data to help clinicians optimize treatments. Magnolia was able to identify patients more precisely through Deep6 AI data than existing algorithms that use claims data alone.
Linking EMR With SDOH Data: Insights Across Disease Cohorts Presentation
AMCP Spring 2024 Platinum Poster and Presentation.
Linking EMR With SDOH Data: Insights Across Disease Cohorts
AMCP Spring 2024 Platinum Poster.
Learnings from Linking Closed Claims Patient Cohorts with Consumer SDOH Data
ISPOR Spring 2024.