Augment your team with experienced data talents to build effective custom pharmacy management and distribution software
Data analytics:
key to creating a successful
pharmacy management system
As the pharmaceutical industry continues to grow and evolve, pharmacists are looking for robust and
user-friendly pharmacy management analytics solutions to improve efficiency and apply data to their
clinical care offerings. Specialized pharmacy management systems simplify drug dispensing, inventory
management, as well as collecting useful and actionable data.
GreenM’s data engineering team can help you with pharmacy management software development. We
have a health IT background that ensures we meet the specific requirements of clients with whom we work.
As the volume and variety of data grow exponentially, our solutions can help increase revenue and optimize
a wide range of pharmacy processes. We know how to accelerate innovation with data-driven technologies
and services.
Our considerable experience and strong skills in data management allow us to build reliable and efficient solutions for clients. Our team of experts is skilled at making data management dashboards using robust Business Intelligence (BI) engines to help you accurately analyze revenue factors and quality measurements of any module of pharmacy management system.
We deliver a healthcare-focused team extension service to build a perfect pharmacy management system modules, solve data challenges and speed up delivery.
We help you to build powerful pharmacy analytics platforms for everything you must have to efficiently and accurately reduce drug spend, track clinical programs, optimize operational efficiency, manage inventory and shortages and improve purchasing contract compliance.
Today the pharmacy industry has two significant challenges. It includes drug shortages and increasing use of higher regulated medications coming through the supply chain. Based on our experience in data analysis, our team can provide the most profitable solutions to optimize all pharmacy processes and improve supply chain management correctly.
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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