Augment your development team with skilled data engineers and analytics professionals to create highly engaging patient portals and mHealth apps
The role of data in
patient engagement
The healthcare industry is experiencing a huge paradigm shift towards value-based, patient-centered care,
challenging industry players to transform care delivery models. Now, to achieve better health outcomes,
patient engagement is quickly becoming an imperative. Informed and invested patients are better equipped
to maintain their own well-being, which reduces overall healthcare costs.
Successful implementation of new models requires health information technology (HIT) companies to
address a number of challenges — a greater variety and increasing volumes of data, lack of data security,
interoperability issues, and more.
GreenM delivers expert data integration, engineering and visualization services to support healthtech
providers with their data initiatives and help them achieve their patient experience goals. Our skilled data
analysts and engineers can extend your in-house team with the necessary expertise to realize the true value
of data and reach ROI faster. Well-versed in the latest technologies, GreenM professionals help software
product companies accelerate innovation through data-driven patient portals and mHealth app development
services.
Leverage our multi-year experience in data architecture and healthcare analytics to extend your development team with the necessary capabilities. From high-performance data warehouses to efficient ETL pipelines to custom API integrations, GreenM brings its solid data expertise to drive co-creation of highly usable and secure patient engagement and mHealth solutions.
We take the complexity out of end-to-end data management by building scalable data lakehouse solutions that provide consistent, secure and easy access to data.
Leverage our expertise in NLP, voice-to-text transcription and automated translation to extract valuable media insights.
Help patients stay engaged in a healthy lifestyle by building data and event-driven workflows tailored to their unique needs.
We build secure, scalable and highly available APIs to seamlessly integrate a multitude of UIs as well as third-party services into a comprehensive system.
Get the most of your data at hand. Experts in Spark and Tableau, we create powerful analytical data marts with insightful visualizations to drive informed decision-making.
From new components development to optimization to cloud migration, tap into our AWS cloud expertise and benefit from improved scalability and accelerated growth.
We deliver a healthcare-focused team extension service to build a perfect patient engagement and mHealth solution, solve data challenges, speed up the delivery.
We integrate personal health information under one roof to empower patients with hassle-free access to their health records and enable them to schedule appointments, receive tailored health literacy materials, take surveys and communicate with doctors on the go.
We offer comprehensive data engineering services to help develop fully-fledged patient portals that underpin meaningful and coordinated patient-doctor communication. Ensure easy management of health information and educational materials while staying on top of resources utilization.
Our data experts help break down information silos and transform patient engagement platforms into data-driven solutions. We discover, integrate and analyze rich quantitative data (ratings, NPS, surveys), social media, demographics, employment information and more to help improve patient outcomes and support value-based care objectives.
EHRs and EMRs, wearables and patient-generated data, medical imaging, pharmaceutical research — the processing of the abundance of structured and unstructured data in healthcare has significant challenges. Our data expertise is instrumental in creating solutions that support interoperability while protecting health data privacy and security. Some common challenges we help resolve include:
→ Cloud costs require
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
→ Lack of a 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<
→ Escalation of 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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