Extend organization’s development team with exceptional data engineers to build custom RFID analytics platforms for better management, auditing, and discovery of IT assets
The usage of
RFID asset tracking software
With the ever-increasing inflow of customers, healthcare providers face the need for management and tracking
ofhealth-critical assets — from patient monitoring devices to medicines. RFID technology has proven itself
effectivein this regard. It can improve patient safety, reduce patient misidentification, as well as track vital
equipment and its state. When paired with big data analytics, the Internet of Things (IoT), and machine learning,
RFID asset tracking software becomes even more powerful.
Healthcare is a sector that needs to always be one step ahead of the curve, but integrating new solutions isn’t always
as easy as it could be. RFID software can be costly, tough-to-implement, and security-demanding. Having the know-how,
expertise, and maintenance means, an RFID asset tracking solution is still a time-consuming upheaval at the
implementation phase, not to mention potential issues surrounding patient privacy and personal data.
GreenM is an expert in data governance, architecture, and analytics in the field of healthcare. For healthcare tech
professionals, GreenM provides a data-focused service, taking care of everything from analytics to engineering.
Whether you’re looking to completely overhaul a legacy system, or apply the necessary upgrades, GreenM is an
opportunity to modernize the healthcare environment and make it future-ready.
Creating and managing RFID tracking software is no small task. Unless the effort is built and led by experts, there is a huge margin for error that cannot be ignored. This is why GreenM offers advanced big data solutions and tools to ensure that modernizing healthcare is free from critical mistakes.
We deliver a healthcare-focused team extension service to build a perfect RFID asset tracking software, solve data challenges and speed up delivery.
RFID software co-created with GreenM has the capacity to remedy numerous areas of healthcare enterprises. Through a highly automated and robust ecosystem of RFID devices tied together with GreenM software, everything from inventory management to patient wait times can be optimized and improved.
High volumes of complex data require systems designed to meet the processing demands. GreenM, through years of experience, has tried and tested its solutions in the healthcare field, refining them to a point where a myriad of healthcare systems can be improved and upgraded upon.
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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