Tag: Healthcare Tech

A powerful Eon and AWS partnership advances the pace of healthcare technology adoption.

Individual teams at Cure.fit, a health and fitness app, tried solving poor resource utilization issues by manually clubbing compatible services. Instead of applying band-aid solutions they decided it was time to fix both problems permanently. Here’s how they did it.

Axial3D uses EC2 to host the infrastructure that allows surgeons to easily and quickly place orders to request a 3D printed model. They store the images on S3 and record metadata about them on DocumentDB, allowing them to quickly and easily track and sort their data.

Innovaccer leveraged EC2 servers for hosting its web applications and databases given the Big Data-based primary operations. The movement to AWS was seamless as we deployed it for the first time in our organization, giving our developers greater control, more reliability, better availability, and enhanced performance.

The amount of healthcare data globally is increasing at a rapid scale. Germany has missed much of this revolution and lags behind other countries with regard to electronic health records and e-prescriptions, but it’s starting to open up. To ensure the country is not further hampered by a lack of digitization experience, providers, payers, patients, pharma companies and startups should look to cloud computing technology to help bridge the gap.

Inspired by the patients they met as junior doctors, C the Signs founders Dr. Bhavagaya Bakshi and Dr. Miles Payling explain how the medical tech startup aims to increase cancer patient survival rates by using artificial intelligence and big data to catch the disease at its earliest stages.

Singapore-based health tech startup Healint created an app that allows for more accurate diagnoses by having users actively and passively chronicle health issues. Here’s how it works.

Proscia was founded to perfect cancer diagnosis with intelligent software that changes the way the world practices pathology. Here’s how they do it.

When someone suffers a stroke, every seconds counts and could mean the difference between being ok, permanent brain damage, or even death. Despite time being of the essence for treatment, the current process for decision making can take up to three hours. Deep learning startup Viz.ai is on a mission to change that.

Datavant enables health companies to share sensitive health data securely. An important part of this process is de-identifying records so that they can be used in research or analytics contexts where identifying information is unneeded or required by law to be removed. Datavant supports both on-premise and cloud workflows to de-identify data. In this post, we share a simple approach to turn our native on-premise application into an AWS-hosted cloud service over the course of a single sprint cycle.