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How to Use Big Data Analytics to Increase Patient Engagement, And Why It Matters

Patients are not passive players when it comes to their own healthcare. In many cases, patient actions or failing to…

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GreenM and medASTUTE Announce New Partnership

July 2020 — GreenM and medASTUTE, a healthcare consulting company, have announced a new partnership. The two companies have teamed…

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How to Migrate Your App to Kubernetes?

Everyone wants to have their app running on Kubernetes. But how to start this process? What steps should be performed? How…

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Top 10 Big Data Solutions in Healthcare – Global Forecast to 2025

This rating was compiled from GreenM’s forecast analysis of the US and global healthcare markets. We evaluated the prospects of…

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Top 8 Data Trends After the COVID-19 Crisis

A global pandemic sweeping through our populations and countries sounds like something from a disaster movie, not real life. And…

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Big Data Analytics in Telemedicine: Usage and Challenges

Healthcare never stands still. It constantly evolves to meet the needs of patients, changing medical requirements, and most recently, global…

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Secure Service to Service Communication in AWS Secure Service to Service Communication in AWS

Everyone knows how to secure user access to resources. It’s simple, as we have a person that can enter his…

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Top 4 Lessons CTO and CIO Need to Get After the End of Coronavirus

Coronavirus (COVID-19) is sweeping the world, rapidly changing everybody’s lives, forcing millions to work from home (WFH) to protect ourselves,…

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Why Data Governance in Healthcare is Important

Data governance is about the collection, storage, processing of data, and specifically the means whereby an organization keeps that secure, and controls access.

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Data and Analytics The Founder and CEO of GreenM Speaks at Swiss Digital Hub’s Seminar at Embassy of Switzerland

Kyiv, Ukraine – February 21, 2020 – Alexey Litvin, Founder and CEO of GreenM, spoke at the Swiss Digital Hub’s…

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How to Get Data Ready for Artificial Intelligence in Healthcare

Healthcare industry is eager to implement artificial intelligence (AI), machine learning (ML), natural language processing (NLP) and other so-called ‘big…

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Data Warehouse Testing

In the first part of the story shared with the community on QA Data Monsters Meetup (#DQM) we discussed how to check data pipeline work…

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