Expand your development team with skilled data engineers and analytics professionals to deliver an end-to-end population health management solution with seamless data integration and visualization.
Insights from the traditional
health continuum and
innovative data
To make a shift to value-based care and succeed in delivery system reform, healthcare organizations strive
to predict better and manage diseases. Since today’s healthcare moves from legacy technologies and the
fee-for-service model, every healthsystem needs to have its hand in population health.
With the increased amount of data available via the modernization of healthcare systems, PHM makes it
possible to collate data in enormous amounts. However, since it is based on a great variety of data from
providers, payers, labs, SDoH, and others, and that results should be provided in a near-real-time manner,
this is a complicated task.
GreenM delivers expert data integration, engineering, and visualization services to support health tech
providers with their data initiatives and help them achieve their goals in PHM development. Our skilled
team can extend your in-house team and realize the real value of data and reach ROI faster.
Since our specialists have multi-year experience and in-depth knowledge of data architecture and healthcare analytics, we have excellent expertise in high-performance data warehouses, efficient ETL pipelines, custom API integrations, and more. GreenM is always happy to share its substantial data experience to jointly create highly effective population health management solutions.
We deliver a healthcare-focused team extension service to build a perfect Population Health Management solution, solve data challenges and speed up delivery.
EHRs, wearables, patient-generated data, medical imaging, pharmaceutical research — the abundance of structured and unstructured data in healthcare poses significant challenges.
The necessity of cloud costs
optimization
Lack of efficient data storage architectures
Legacy system migration to the cloud
Maintaining ePHI confidentiality and integrity
Stringent regulatory compliance (HIPAA, HITECH, GDPR, etc.)
Audit trails for security monitoring
A variety of disparate data
sources
Payment gateways, authorization checks
BI modules and analytics systems
Poor UI design and non-intuitive navigation
Failure to deliver personalized content, offers and notifications
Safety and privacy concerns
No single source of truth
Lack of interoperability between EHRs/EMRs, HIS solutions, etc.
Development of FHIR-based APIs and custom connectors
Inconsistent, poor-quality data
Complex media processing
pipelines
Escalating data storage costs
Healthcare data silos
Slow ETL processes and unoptimized queries
Reporting and visualization issues
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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