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:
GreenM can develop scalable data lakes, or lake houses, giving consumers the ease of access needed, with a necessary level of security and audit systems in-place. With a Scalable single source of truth, as part of what we develop, integrations from various data sources are easier. Data is managed more consistently.
Media in a range of formats is a rich source of useful data. But often, this data is hard to extract. A range of challenges are created when trying to extract data from voice-to-text formatting, transcription and translation. Often, natural language processing (NLP) is useful for getting the data healthcare companies need from media sources.
It’s important to identify digital gaps in patient care, including documentation errors, and how to optimise the patient experience, including improving wait time during the visit and identifying stages. GreenM has the expertise you need to build automated data and event-driven workflows, to analyze new data in real-time, and send notifications when necessary.
mHealth POC that come with sophisticated workflows rely on robust, scalable and secure messaging platforms and APIs.
GreenM expertise brings together these powerful concepts, to develop cost-effective, reliable and secure API-powered workflows.
Data processing and visualization is our specialty. With experts in Spark and Tableau, we ensure you have high-performance data analytics, and insightful visualizations integrated with those.
We have extensive expertise developing within the AWS cloud environment. We can help you develop new components, optimize existing ones, and move components to the AWS cloud in a reliable, secure and cost-efficient way.
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
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, solutions, and solve the appeared challenges.
Tell us more about your idea so that we can discuss a solution.
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