Get top-notch engineers to build health tech analytics solutions faster, in a more cost-effective way and with a higher quality
The Importance of
Big Data in Healthcare
Healthcare is a sector that runs on data. Everything from patient outcomes to aftercare
and billing relies on the right data being processed in the right way when it’s needed.
Beyond the immediate use of hospitals, doctors, insurers and patients have for all of the data
generated and created, it’s the foundation for future innovation and new heathcare software
and services.
Medical technology companies continue to face a series of challenges around providing
useful value-added solutions to the sector. Data cleanliness, usefulness and interoperability
make a significant amount of data the sector generates difficult to use drive value from.
Healthcare analytics requires unique approaches and expertise. Legacy systems and legislation
make data management, analysis, interpretation, and processing particularly challenging.
The expertise, we have, makes it easier for Health IT providers in the healthcare sector to focus
on clients’ and growing their business.
GreenM helps Health IT Providers get a handle on their and their clients’ data and make better decisions. We make that possible by extending your engineering team with our data expertise to co-build custom data analytics solutions that tackle areas where off-the-shelf products simply will not do.
For IT vendors, in particular, delivering client projects can be significantly more difficult than many expect; helping you overcome these challenges is where we come in. We have a structured approach to processes that generate long-term value for end clients and healthcare IT providers. With our team extension services, you can focus on managing the client relationship and making strategic decisions that benefit providers, payers, and ultimately, patients.
Our engineering talents work in a collaborative partnership with healthcare software development teams to co-build end-to-end data analytics solutions. Data security is mission-critical to IT providers and HIPAA covered entities, which is why it’s an essential part of how we deliver our medical software development services.
When we process data, we take into account the peculiarity of systems and data formats. We know how to process data, parse and load. We do this securely, maintaining data formatting as required and, making changes to ensure enhanced interoperability, making data more secure and useful.
We work with you to find the right talents to level up your engineering team and deliver your goals quickly.
Team Extension Model
Together, we can develop the perfect healthcare software solution to maximize the return on your investment in data.
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.
Alex Gallichotte
BI Department Lead,
Fair
GreenM brings both deep expertise and a highly effective development team to every project they work on. In my time working with GreenM at NRCHealth, they not only delivered every project to spec and on time, but also elevated the level of our whole engineering department with their organizational and architectural best practices.
Nathan Seaman
VP of Product,
Human API
Great communication, fantastic partner, really smart about data and health data in particular. Senior Management are some of the best technical people I’ve ever worked with in more than 13 years. They consistently exceed expectations.
Daniel Sherer
Chief Technical Officer,
MedASTUTE Consulting, LLC
We have worked with Alexey and the team at GreenM on many projects and have consistently been impressed with the quality of their work. They hire very highly skilled individuals and strive to understand not just our immediate needs but the underlying issues and how we can improve the process.
Leonid Nekhymchuk
Chief Technical Officer,
VisiQuate Inc
GreenM team has a lot of experience with AWS. They have deployed several solutions. Their knowledge is up to date and I’d highly recommend them to anyone who needs to build BI/analytics leveraging AWS.
BJ Choi
SVP Engineering,
Quantive Radianse
I’ve leveraged technical help from GreenM on numerous consulting projects from basic AWS setup and administration to implementing complex design using serverless managed AWS services for rapid development of scalable solutions to clients. GreenM has always delivered on-time and is a great partner to collaborate with.
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.
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