Embracing Population Health Management Solutions

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.

Domain expertise

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.

Data Governance​

Our team eliminates some of the typical data management “traps” through reliable data lakehouse solutions to ensure consistent, secure, and easy access to data.

Media Processing

Using our in-depth knowledge in NLP, voice-to-text transcription, and automated translation, you can get valuable media insights and other essential data.


Practical and evidence-based plans with automated workflows help increase the efficiency of care coordination so that managers can focus on complex patients.

API Development

APIs allow data to be borrowed from other sources and provide it to clients. Our API makes the data consumption process a piece of cake.


We facilitate high-performing networks, so all scalable outbound data pipelines ensure that your data consumers get what they are interested in on time.


Since analytics is vital for PHM platforms, our Spark and Tableau specialists offer comprehensive analytic solutions that enable organizations to make data-driven decisions.

AWS Cloud

Our team has excellent experience in the AWS cloud, so you can easily use our strong expertise and benefit from improved scalability and accelerated growth.

Data collection/processing

We have vast expertise in automated data collection, cleanup, and normalization for a wide variety of input formats and protocols.


We deliver a healthcare-focused team extension service to build a perfect Population Health Management solution, solve data challenges and speed up delivery.

Key Highlights

Health Risk

By analyzing both current and historical clinical, social, and cultural patient data, we build reliable health data assets that map to a considerable number of terms. Also, we implement industry-recognized risk predictions and calculate standard and custom quality measures, risk gaps, and care impact scores.

Population Health

Leveraging risk stratification to populations for timely interventions and improving outcomes, our team drives closure of care gaps. Also, using comprehensive data analytics, we extract critical clinical and social indicators, help perform cost-of-care analysis, as well as set up regulatory reporting for providers.

Better Care

Holistic patient data and insights delivered by GreenM enable better management of chronic conditions and integration of the depth of data necessary to prevent complications through testing and treatment reminders that help patient-doctor communication and timely patient care.

Data challenges we solve

EHRs, wearables, patient-generated data, medical imaging, pharmaceutical research — the abundance of structured and unstructured data in healthcare poses significant challenges.

IT infrastructure

The necessity of cloud costs

Lack of efficient data storage architectures

Legacy system migration to the cloud

Security and compliance

Maintaining ePHI confidentiality and integrity

Stringent regulatory compliance (HIPAA, HITECH, GDPR, etc.)

Audit trails for security monitoring


A variety of disparate data

Payment gateways, authorization checks

BI modules and analytics systems

Patient engagement and support

Poor UI design and non-intuitive navigation

Failure to deliver personalized content, offers and notifications

Safety and privacy concerns

Interoperability and usability

No single source of truth

Lack of interoperability between EHRs/EMRs, HIS solutions, etc.

Development of FHIR-based APIs and custom connectors

High-volume, high-variety data

Inconsistent, poor-quality data

Complex media processing

Escalating data storage costs


Healthcare data silos

Slow ETL processes and unoptimized queries

Reporting and visualization issues

Partnership Approach

We are working with you to find right talents to level up your engineering team and deliver on your goals quickly

Team Extension Model

Lack of in-house expertise

You get fast and full access to senior-level engineers whose skills have matured in real-life health IT projects and span across all things data.

Latest technologies

We leverage the most up-to-date tools and frameworks to store, process, analyze and visualize your data, like AWS, Apache Spark, Tableau, Vertica and others.

Development costs
kept at bay

We provide our services at cost-efficient rates, without trading off the skill level of our engineers (most of them have a 10-year experience).

A real, no-headache extension
of your team

You can interact with your dedicated engineering team without any middlemen, plus no overhead of hiring, training and motivating them.

Case studies

Key Technologies


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

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.

Our Blog

Let’s discuss

Tell us more about your idea so that we can discuss a solution.

    Copyright © 2024 GreenM, Inc. All rights reserved.

    Subscribe to our health tech digest!

    Insights, useful articles and business recommendations in your inbox every two weeks.