Extend your development team with skilled data and analytics talents. Our technology expertise can provide the foundation you need to build a successful virtual care community platform.
Coordinated and collaborative
virtual healthcare community
Virtual communities are essential to the brand and customer experience, for healthcare providers, payers, and
patients. Healthcare sector players have vast amounts of data on patients. With the right technology, that data
can be leveraged to support the development of a smart virtual coordinated healthcare community.
Virtual healthcare communities ensure an enhanced patient experience. Brands can generate actionable
insights from the user data. Insights become even more powerful when they’re plugged-into SDoH data,
or third parties. Insights that can be gained from community apps are enormous. With data on everything
from demographics to lifestyle and diet choices, and other unstructured data, developing an
effective solution is challenging.
GreenM can extend your development capabilities with our data expertise. This includes setting up data
governance guidelines, reporting on healthcare outcomes, and real-time analytics, demonstrating
what’s most important to community.
Ensure your development team is extended with the capabilities your company needs. From high-performance data warehouses, to efficient ETL pipelines with NLP engines, to custom API integrations, GreenM brings data expertise to drive forward the development of user-friendly and secure Community Insights solutions.
Our team eliminates some of the typical data management “traps” through reliable data lakehouse solutions to ensure consistent, secure, and easy access to data.
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.
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.
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.
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 healthcare solution, solve data challenges and speed up delivery.
Virtual communities benefit patients, those who need peer support to make lifestyle changes, and healthcare brands alike. Healthcare teams, either through direct interactions, analytics, and natural language processing (NLP), can collect more data on patients. At the same time, these communities support improved healthcare outcomes.
With employee-centric platforms and apps, these provide forums for knowledge sharing, training, announcing employer initiatives, and optimizing talent. With the data from these platforms, HR is empowered with insights to implement tailored plans for team members, and creating tailored benefit and engagement programs.
Healthcare providers can support brand initiatives through community platforms. Local people can use this as a resource for wellness, and health-related information. Working with GreenM, your organization can benefit from referrals, identifying care pathways, and providing insights on the support the local community needs most.
Data can be overwhelming. However, with the right systems and analytics in-place, you can benefit from actionable insights, instead of searching for what you need in spreadsheets. Within Community Insights platforms, there is a significant amount of structured and unstructured data. Uncovering actionable insights from these can cause a significant challenge. Our data expertise is instrumental in creating solutions that process and visualize results in real-time, while protecting health data privacy and security.
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
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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