Boost your dev team with data professionals to create custom precision medicine analytics platforms in a secure, compliant and approved environment
Precision medicine software
for data-driven insights
Individual variability is instrumental in precision medicine research. This dictates the need for amassing and
interpreting genetic, environmental, and lifestyle-related data. So far, research is largely based on EHR data,
which is prone to bias, inconsistencies, and inaccuracies. To avoid misinterpretation of personal data,
healthcare settings are required to implement tailored precision medicine software.
There are key components of data management: collecting, storing, governing, and transforming raw data
into actionable insights. In order to aggregate and analyze big data for precision medicine, healthIT companies
should have advanced infrastructure in place. Building such an infrastructure from scratch requires niche
expertise and a wealthof resources, which is unaffordable for many companies. Having a reliable partner
for software co-building is a way out.
GreenM has a proven track record in data integration, engineering, and processing. We work with
healthcare solution providers, who are looking to extend their precision medicine technology development
team or improve the existing data analytics procedures.
Developing a more personalized approach to healthcare is impossible without evidence-backed insights. But in order to derive valuable knowledge from the collected data, it must be easily readable. And this is what health-tech companies are striving for. GreenM helps to reach this goal through skilled information management, transparency of data analysis, and visual representation of insights.
We deliver a healthcare-focused team extension service to build a perfect personalized medicine software, solve data challenges and speed up delivery.
Healthcare analytics products equipped with GreenM data analytics expertise are capable of generating tailored information on patients’ health, lifestyle, and behavior. This, in turn, helps to approach the major goal of solutions for precision medicine — customizing health maintenance and treatment practices. Precision medicine data analytics allows specialists to accurately formulate healthcare strategies, as well as better understand where they are more effective.
Consistent data storage
Data integrity & authenticity
Workflow management
Automated clinical management
Scalable single-source of truth
Deep data analytics & visualization
Maintaining PM system confidentiality and integrity
Stringent regulatory compliance (JCAHO, HIPAA, HITECH, GDPR, etc.)
Audit trails for security monitoring
A variety of disparate data sources
Third-party providers, clinic platforms
BI modules and genomics research systems
Cloud costs require optimization
Lack of efficient data storage architectures
Legacy system migration to the cloud
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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