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NIX enhanced MMIT’s web platform, providing pharmaceutical companies with improved marketing insights, and a competitive advantage in the healthcare market.
Pharmaceutical, Healthcare
Business Intelligence, Data Analytics, Web Development
Azure, Angular, .NET
Our client is a Managed Markets Insight & Technology (MMIT) company that provides marketing insights for pharmaceutical manufacturers, insurance companies, and providers in the US healthcare industry. The client combines deep domain expertise around drug development, manufacturing, and use covered under the medical benefits with innovative technology and analyzed data from different sources to answer critical business questions. MMIT data is acquired through a combination of direct partnerships with payers, as well as technology infrastructure, AI, and human validation.
These MMIT solutions help pharmaceutical companies retrieve crucial data on drug prescriptions, usage of their products, and competitors. It empowers pharmaceutical companies with a clear market view to create effective marketing campaigns, streamline sales, and gain a competitive edge. Moreover, US physicians confide in MMIT data when prescribing drugs for patients, providing more efficient treatment.
The client reached out to the NIX team with the following requests:
Reinforce the Radar platformβa client-facing flagship product for marketing insights with new functionality to enhance user experience
Incorporate a BI solution for their oncology drug coverage product
Set up robust data collecting and processing
American insurance implies that treatment regimens, including drugs, are strictly regulated in particular insurance plans. Each insurance company has a regulated list of medications for each disease and illness they are willing to cover.
Some drugs have limiting factors, such as step therapyβa process used by health insurers to control costs. It requires patients to try one or more medications specified by the insurance companyβtypically a generic (analog) oneβto treat a health condition. The generic version is always cheaper than the original medication because the company did not invest a lot of money to develop the formula. If the generic version does not help, the insurance company pays for the original drug.
There is also a prior authorizationβa set of actions the patient must perform before he can take a drug. The insurance company regulates the procedure for patients to complete all the necessary testsβfor instance, five types of blood tests, MRI, ultrasound, etc.βrequired for further prescribing of medication by doctors.
As a part of the project scope, we enhanced and developed the following solutions:
This is a flagship product that provides information on the distribution of prescriptions to pharmaceutical and insurance companies. The platform is. NET-based allows users to strategically segment the market, monitor key wins/losses and target key accounts for positioning and contracting activities. Also, users can enter the name of the disease or the drug and get an infographic for each stateβwhere and what medications are prescribed more often.
The NIX team performed a total refactoring and updated cashing layer for better performance and optimized data warehouse operation. We also designed new functionality to enhance customer experience and ease navigation through the platform.
The NIX team managed the processing of a vast data streamβmore than 1000 sources per dayβusing a custom-built Python algorithm that selects information based on relevance. The developed framework is responsible for collecting drug, coverage, and other formulary information from hundreds of thousands of sources into a database and consolidating it into a single data type.
Also, we offered to set up Docker orchestration for Kubernetes, which now allows automatic scaling of document scraping processes and improves the system’s performanceβa system that can share the volume of capacity for scraping.
Instead of doing it manually and spending a great deal of time on these mundane activities, end-users can now receive the required information in a matter of seconds. This algorithm allows scaling efficiently and improves the performance of huge data sets that are very useful for companies interested in data mining.
The NIX team developed a Tableau-based BI solution that provides narrowly-focused data about oncology disease drug coverage. The system has a single sign-on (SSO) authentication method that enables users to securely authenticate with multiple applications and websites by using just one set of credentials.
The solution allows drug manufacturers to study the market for specific drug insurance coverage types across the country.
Working side by side with the clientβs team, the NIX team reinforced the flagship product with new functionality that empowers pharmaceutical companies with up-to-date marketing insights, boosts revenue via increased sales, and helps to stay ahead of the competition.
As a part of the scope, we also set up a robust data processing system that enables automatic scaling of document scraping processes, saves managers time, and improves the system’s performance.
38 experts (Corporate Project Manager, 4 Business Analysts, 17 .NET Developers, 4 Python Developers, Scrum Master, C++ Developer, 7 QA Engineers, 2 UX / UI Designers, Mark-up Specialist, Salesforce Developer)
Python, Azure, MS SQL Server, Elasticsearch, Kubernetes, Docker, Angular, EntityFramework, Redis, .NET
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