In this use case, learn how one pharma company used coverage data plus real-world data signals from claims, labs, and EMR systems to better understand the connection between payer coverage and claims. After identifying missing billing codes as the primary driver of denials, the company launched an HCP education campaign to help resolve the access […]

In this use case, learn how one pharma company persuaded payers to ease restrictions on its neurological therapy using real-world data signals and market research. By integrating RWD from claims, lab, and EMR data into Message Monitor results, the company showed the impact of evolving payer sentiment on providers’ prescribing behavior.

In this case study, learn how one healthcare IT company used Rx BIN/PCN/Group data to provide its physician clients with accurate, patient-specific coverage details for certain therapies.

In this case study, learn how one plan saved at least $250K each year by moving to an automated, scalable claims review process. After implementing MMIT’s ReimbursementCodes Medical Drug Edits APIs, the team now has the bandwidth to review all potentially inaccurate claims—even those for smaller amounts.

In this use case, find out how MMIT, using NorstellaLinQ, used real-world data to help a manufacturer specializing in multiple myeloma therapies get a clearer picture of high-risk patients and the physicians treating them.

In this case study, learn how MMIT, utilizing NorstellaLinQ, integrated unstructured EMR data with structured data to assist a global pharmaceutical company in identifying disease screening patterns and formulating effective commercialization strategies.

In this use case, learn how the company used MMIT’s API to get access to formulary, medical policy, and restriction data, helping the client pull up payer policy details to answer their queries in real time.

In this use case, find out how MMIT, using NorstellaLinQ, used real-world data to deliver insights to support a breast cancer drug’s strategic positioning, market evolution, and long-term growth planning.

A mid-sized pharmaceutical company faced the challenge of identifying patients for a rare disease and complex indication.

In this use case, find out how MMIT, using NorstellaLinQ, helped a pharma company identify high-risk patients with Trigger Alerts.

In this use case, find out how MMIT, using NorstellaLinQ, developed a robust, unified dataset to provide comprehensive insights into a potential addressable rare disease population.

Learn how one manufacturer used integrated claims, lab, EMR and coverage data to identify newly diagnosed, early-stage cancer patients for just-in-time HCP targeting.