Expand your development team with skilled data engineers and analytics professionals to deliver an end-to-end population health management solution with seamless data integration and visualization.
Insights from the traditional
health continuum and
To make a shift to value-based care and succeed in delivery system reform, healthcare organizations strive
to predict better and manage diseases. Since today’s healthcare moves from legacy technologies and the
fee-for-service model, every healthsystem needs to have its hand in population health.
With the increased amount of data available via the modernization of healthcare systems, PHM makes it
possible to collate data in enormous amounts. However, since it is based on a great variety of data from
providers, payers, labs, SDoH, and others, and that results should be provided in a near-real-time manner,
this is a complicated task.
GreenM delivers expert data integration, engineering, and visualization services to support health tech
providers with their data initiatives and help them achieve their goals in PHM development. Our skilled
team can extend your in-house team and realize the real value of data and reach ROI faster.
Since our specialists have multi-year experience and in-depth knowledge of data architecture and healthcare analytics, we have excellent expertise in high-performance data warehouses, efficient ETL pipelines, custom API integrations, and more. GreenM is always happy to share its substantial data experience to jointly create highly effective population health management solutions.
We deliver a healthcare-focused team extension service to build a perfect Population Health Management solution, solve data challenges and speed up delivery.
EHRs, wearables, patient-generated data, medical imaging, pharmaceutical research — the abundance of structured and unstructured data in healthcare poses significant challenges.
We are working with you to find right talents to level up your engineering team and deliver on your goals quickly
Team Extension Model
The result was a system that could handle a large number of data pipeline tasks. The number of delays and issues was reduced to the bare minimum. The client-side had more time to deal with business tasks.
Our Goal was to constantly improve and adapt technologies in order to scale the system from 0 to 10K users during a rapid customer growth and allow for a quick onboarding.
The main requirement was to replace an old subscriptions product, so a new one must have the same features and non-functional characteristics.
Project goal was to get system logs from all clients and build comprehensive analytics to track usage, devices failure and performance.
To address the need for a powerful insight solution, GreenM team built a product that covers all of the aforementioned aspects. A scalable cloud-based application accumulates and processes all available Tableau Server information.
Tableau is an Enterprise Analytics and BI platform that is trusted by 20 of the top 20 U.S. hospitals. Care data can be visualized more effectively, giving patients improved treatments and providers reduced costs.
AWS is one of the world’s largest cloud-solutions, with a diverse range of offerings. When tailored effectively around the needs of healthcare clients, AWS can provide cost-effective, resilient infrastructure in coordination with other solutions, to provide all of the computing and storage power your data could need.
Apache Spark is ideal for making big data calculations quickly, which has dozens of use cases in healthcare. IT vendors in this sector can perform more effective ETL (Extract, Transform and Load), analysis (both interactive and batch), and streaming; reducing costs and improving outcomes.
Vertica helps healthcare IT companies to process millions or billions of RTMS records, and other medical data pipelines more effectively. Waste and error is also eliminated, making patients and providers safer.
We can extend your team with talented data engineers to create better, faster, solutions, and solve the appeared challenges.
Tell us more about your idea so that we can discuss a solution.
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