We work with health tech companies to jointly create point of care solutions with our extended and experienced data engineering team.
Common Healthcare Data Challenges:
How GreenM Develops Solutions
GreenM, with our sector experience and expertise, data related know-how, and technical skills,
helps healthcare IT companies to deliver Point of Care (POC) and EHR software. We assist
the healthcare sector to bring new POC and EHR solutions to the market faster. We ensure you
stay competitive, can keep innovating and serving customers more effectively.
Since 2014, we’ve worked exclusively on health data-related projects for market-leading healthcare
brands, so we understand what it takes to translate ideas into successful software.
GreenM can serve as a skilled extension to your core team, tackling some of the most challenging aspects of healthcare data-related projects. We can help you develop high-quality, cost-effective and secure Point of Care (POC) and EHR software.
As a part of this work, we know developing healthcare software often means overcoming a series of challenges. From managing data from a range of split sources and systems, solving implementation problems of real-time data updates and back-end integrations, to setting up analytics and workflows – we can help you in a number of ways.
Our support often comes in the form of a team extension. We extend and increase the skills and capacity of your development team. Giving you the extra data engineering and analytic skills and experience necessary to develop software successfully. Our expertise in high-quality and impactful POC and EHR solutions comes with:
We deliver a healthcare-focused team extension service to build a perfect point of care solution, solve data challenges, speed up the delivery.
We are working with you to find right talents to level up your engineering team and deliver on your goals quickly
Team Extension Model
We developed a new real-time experience platform which processes patient visit data and survey results for further analysis and reporting to track and manage the institution performance, patient satisfaction level, and timely react to incidents through feedback analytics and alerts.
We delivered an MVP for a health tech company’s sales department to improve the sales process under a new government healthcare provider program, Primary Care First (or PCF). This solution refers to PCF calculation beneficial product.
We built a scalable analytics product for a healthcare company to get the most out of hospital system logs for enabling comprehensive analytics to track usage, device failures, and performance.
Now we are working on a clinical study data synchronization portal requested by a clinical trial company for exporting data from their internal eClinical source system to sponsor platforms. The goal is to automate transfer of patient visit data by synchronizing it across two systems and reduce human-made errors by avoiding the need for double data entry.
We built a scalable data pipeline that performs batch and stream processing of autonomous vehicle (AV) data with high speed and accuracy. We also integrated an analytics platform to enable seamless analytics, AV performance monitoring, and operational metrics processing.
We conducted a Tableau implementation audit for the AdTech company to identify and resolve bottlenecks in their tool performance. The goal was to enhance the speed and efficiency of their Tableau dashboards and reports.
We crafted TreviseAI, a customer feedback analysis tool, which helps to transform reviews into actions, get customized responses, monitor critical sentiment shifts, and discover actionable insights.
We created a property auction product from scratch with only client’s idea. Its goal was to streamline the property buying and selling process, make it intuitive, scalable, and transparent to all users.
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.
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, solutions, and solve the appeared challenges.
Tell us more about your idea so that we can discuss a solution.
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