Augment your development team with skilled data engineers and analytics professionals to create highly engaging patient portals and mHealth apps
The role of data in
The healthcare industry is experiencing a huge paradigm shift towards value-based, patient-centered care,
challenging industry players to transform care delivery models. Now, to achieve better health outcomes,
patient engagement is quickly becoming an imperative. Informed and invested patients are better equipped
to maintain their own well-being, which reduces overall healthcare costs.
Successful implementation of new models requires health information technology (HIT) companies to
address a number of challenges — a greater variety and increasing volumes of data, lack of data security,
interoperability issues, and more.
GreenM delivers expert data integration, engineering and visualization services to support healthtech
providers with their data initiatives and help them achieve their patient experience goals. Our skilled data
analysts and engineers can extend your in-house team with the necessary expertise to realize the true value
of data and reach ROI faster. Well-versed in the latest technologies, GreenM professionals help software
product companies accelerate innovation through data-driven patient portals and mHealth app development
Leverage our multi-year experience in data architecture and healthcare analytics to extend your development team with the necessary capabilities. From high-performance data warehouses to efficient ETL pipelines to custom API integrations, GreenM brings its solid data expertise to drive co-creation of highly usable and secure patient engagement and mHealth solutions.
We deliver a healthcare-focused team extension service to build a perfect patient engagement and mHealth solution, solve data challenges, speed up the delivery.
EHRs and EMRs, wearables and patient-generated data, medical imaging, pharmaceutical research — the processing of the abundance of structured and unstructured data in healthcare has significant challenges. Our data expertise is instrumental in creating solutions that support interoperability while protecting health data privacy and security. Some common challenges we help resolve include:
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 of the project is an MVP, a concise version of the original solution that would use publicly available data and showcase the demo results to the clients during the sales process without having to inquire them for anything before they saw the product. MVP approximates benefits of joining the PCF, personalized specifically for individual practices.
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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