GreenM works with healthcare tech companies to deliver innovative solutions by extending development team with experienced data engineering and analytics professionals
The Importance of
Big Data in Telemedicine
The telehealth industry deals with a huge amount of constantly growing Data connected
with patients, doctors, billing, insurers. According to a report by Global Market Insights,
the telemedicine market in the U.S. is projected to exceed $64.1B by 2025. These numbers
certainly indicate the growth of telehealth data now and in the future.
Tech leaders are challenged to look for new effective, secure, and sustainable solutions to
optimize the work and scale fast. When you try to do this on your own, it can become a problem.
With extended data engineering and analytics services to GreenM, you receive a 6+ domain
years professional team. We help you to empower Telehealth software development with the
advantage of using relevant Data to streamline care, analyze and improve performance and
quality measures, deliver better outcomes, build cost utilization predictions and other essential
We can help your health care development team to solve implementation problems of back-end integrations, data security, managing various data from medical wearable devices, remote monitoring and real-time consultations.GreenM works with you to build high-quality, cost-effective, secure and scalable cloud telemedicine software platforms that come with:
We deliver a healthcare-focused team extension service to build a perfect telemedicine software solutions, solve data challenges, speed up the delivery.
More data, more problems. Data in the healthcare sector needs to comply with an extensive range of standards. In the absence of a universal protocol to protect the user and patient data privacy, we work with healthcare solutions companies to provide the highest level of data security possible, while ensuring systems are compliant with the relevant regulations.
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 telemedicine and biometric integration software, and solve the appeared challenges.
Tell us more about your idea so that we can discuss a solution.
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