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
forecasts.
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:
Secure handling of ePHI in compliance with HIPAA and other industry standards
Integrations made easier thanks to a single source of truth
Data science and analytics teams get access to valuable insights
A multitude of web and mobile UIs seamlessly brought together and powered by robust APIs on the back end
Integrations with clinics, insurance companies and other stakeholders
Integration with workflow and analytics modules for sophisticated optimizations
Data chaos tamed with intuitive dashboards
Better visibility and predictability of care quality and cost
Architecture designed for lower latency and costs
Flexible, cost-effective management of computational resources
Fast scaling to support user base growth
Seamless delivery of new features
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.
No universal protocols
Hard to manage and control patient data
Various regulations compliance
Lack of payer systems standards
EHR integration issues
No single system for scheduling & storing consulting results
Useless/difficult to maintain data flows
Data quality issues
The complexity of analytics implementation
High IT infrastructure costs
We are working with you to find right talents to level up your engineering team and deliver on your goals quickly
Team Extension Model
Building an MVP Based on Open Data for Sales in Healthcare 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.
Enhance Operational Efficiency and Key System SLA Compliance by Improving Workflow Orchestration 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.
Delivery of a robust AWS SaaS platform from scratch in three runs 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.
Scalable subscription service to improve Patient Experience The main requirement was to replace an old subscriptions product, so a new one must have the same features and non-functional characteristics.
Self-Service Analytics for Healthcare Company Project goal was to get system logs from all clients and build comprehensive analytics to track usage, devices failure and performance.
Generating Insights from Tableau Server Performance Data 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.
How to Build a Scalable Data Pipeline A product that can’t be changed tomorrow may turn out to be a wasted investment. That’s why a scalability is a leading tendency among business.
Tableau
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
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
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
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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