Tag Archives: Effective Operations

Challenges for Tech Leaders in Collaboration with a Data Team

The amount of data we work with trends towards infinity. A little more, and we will freely operate with nonallons and octalons. To solve such complex problems, we will need complex data teams, consisting of data engineers, analysts, QA engineers and other narrow-minded stakeholders. Managing such a team, and most importantly, finding great specialists has become a key task in recent years. 

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In-House or Outsource, or Why It’s Not Really a Question

Have you ever considered the possibilities that the web provides? It’s a vast knowledge base and an incredible platform for…

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Extended Team Model vs. Staff Augmentation vs. Dedicated Team: What’s the difference and how can you benefit from it?

Outsourcing creates thousands of new business opportunities, as it is not always possible to find the specialist you need, with…

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Data Innovation Team Extension for Software Development Companies

Let’s look at a scenario that you probably have seen before. You’re a fantastic service provider, and your development team…

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How to Build an MVP for an IT Healthcare Project

Some of the top reasons so many startups fail are due to their inability to find sufficient funds, poor targeting…

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Big data, due diligence, public doctors’ ratings: What is between?

 Living in the era of high technologies and digitalization, patients have become more well-informed and are meticulous about the service…

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How to Develop RFID-based Healthcare Analytics Platform

RFID technology automates tracking processes and data collection, removes labor-intensive human work and reduces costs for companies. It’s a fast and reliable system with only a few issues.

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From Idea to MVP: the Story of the Successful Partnership in Healthtech

This article explains how we build an MVP (minimum viable product) for our business partners, medASTUDE. It shows our creative and technical software development process, from problem statement to software design and its implementation. But for the story to be complete, we need to take a step back and start with the background information.

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Developing Self-Service Analytics for Telehealth

Telehealth is a trendy solution for modern healthcare IT companies. In the previous article we talked about how self-service analytics…

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The Anatomy of a Data-Driven Patient Engagement Platform

Studies show that despite high hospital adoption rates, patient engagement platforms aren’t all that popular among the patients themselves. The…

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Boosting Telehealth Solutions with Self-Service Analytics

Analytic agencies differ in their estimations of telehealth adoption and growth, but all of them confirm that COVID-19 was a major growth catalyst. The reports also show that both patient and provider satisfaction with telehealth is improving, which are a basis for optimistic telehealth growth estimates beyond the pandemic.

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Big Data and Pharma: Building Preclinical and Clinical Analytics Platforms

Living through a pandemic in the past hectic year, healthcare professionals and providers work even harder in order to provide us with relevant research insights and medicines.

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