Level up your development team with strong data talents to create analytics platforms for the pharmaceutical, biotech and medtech sectors
The role of data in
drug development
Drug discovery and development is a complicated, time-consuming, research and investment intensive process.
The whole pharmaceutical sector, including biotech, medtech, life sciences, clinical trial services, and REMS
programs support, relies on the R&D process, to create new medicines, to drive forward future growth.
Since the start of this pandemic, there has been a rapid increase in investment to ensure the digitalization of trials,
remote teams collaboration, automated audit, and compliance. Now is the time to invest in these areas to ensure
the ongoing pandemic doesn’t prevent drug development.
With GreenM, you have a reliable data partner to the leading pharmaceutical, biotech and medtech companies.
We work with health IT players to help them transform the future of the industry.
DG is key to achieve high standards of security and compliance in healthcare. We can help build scalable Data Lake/Lake house which provides ease of access for consumers at the same time providing required level of security and audit.
When it comes to drug development, data is everything. With drug discovery software, you will get the data you need to make critical business and investment decisions, making it easier to interpret a vast amount of data quickly.
Getting workflows right is mission-critical. You need systems that integrate well with others systems. Healthcare companies also need to ensure data is kept secure wherever it goes, so you can be confident when it comes to compliance.
We ensure drug discovery software can scale rapidly, with a strategic approach applied to cloud architecture. This way, new solutions can be integrated, secured, and scaled more effectively according to business goals and user needs.
We deliver a healthcare-focused team extension service to build a perfect data analytics solutions for drug discovery and development needs, solve data challenges and speed up delivery.
Drug discovery and research is a time, capital and labor intensive process. Pharma and life science companies need every advantage to ensure they’re maximising ROI. Now investments are being made in the digitalization of trials, remote teams collaboration, automated audit, and compliance. We help to build effective, powerful and easy-to-use the following types of drug discovery software:
CTM software is used in the sector as part of pharmaceutical and biotechnology research activities. This software helps pharma, bio and life science companies optimize products and the outcome of drugs trials.
QM software is a crucial part of drug and clinical trials. Quality is essential, for safety and compliance reasons, and to ensure patients receive the best outcomes possible from the drug development process.
With the right CRM solutions in place, Pharma and Biotech can improve operations, and therefore patient outcomes, return on investment from the R&D process, and comply with regulations.
CDM software ensures care processes are optimized and tailored to monitor ongoing health conditions. This plays an important role in drug discovery when patients have health conditions that need monitoring.
In the healthcare sector, and especially when it comes to drug research and development, data posses a significant challenge. It needs to be managed carefully, used the right way, kept safe and secure, and pharma companies need to stay compliant with regulators.
One of the most significant challenges is maintaining data security compliance. We ensure data, whether stored or transmitted is compliant with HIPAA, and other regulations and laws.
One of the most significant challenges is maintaining data security compliance. We ensure data, whether stored or transmitted is compliant with HIPAA, and other regulations and laws.
Drugs companies need a single searchable source of truth. We design and develop data schemas and visualisation solutions, making the data from drugs trials easier to understand and interpret.
Complex workflows, such as trial management needs data from multiple subsystems to ensure successful completion. Notifications are an essential part of that, to ensure successful drugs trials. We have extensive experience building these sort of workflows in this sector.
We help you keep IT infrastructure costs to a minimum. Everything we develop is in the cloud, which means it’s scaleable and will operate with other systems more easily.
Most drug discovery solutions offer screening, predictive analytics, modelling, simulation, and computational capabilities. Those functionalities help with tasks such as image analysis and clinical trial results submission, as well as ensuring accurate reproducibility. Researchers and scientists use drug discovery software to gain market intelligence, take advantage of advancements in drug design and synthesis, tackle evolving and adapting diseases, and maintain and manage the integrity of data as drugs transition from the discovery phase to the clinical trial phase.
With the right software, operations executive can keep a close eye on trial costs compared to the required investment and expected return. This way, there should be a single source of truth for every drugs trial.
Another mission critical area is compliance. Keeping data and patients safe is an essential part of the process, which we help companies with, as security is built-into our software.
Another area we excel at is managing projects, especially when this means working with other companies in the healthcare IT sector, and multiple teams within client organisation.
At GreenM, we only work with the best IT and data scientist professionals around to ensure your software is best-in-class.
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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