Zach welcomes old friend and CTO of Trualta, Shahzad Zafar on the pod today. Shahzad has always been interested in solving hard problems, which is what drew him to computer programming in the first place, and his family’s background in medicine gave him a particular fascination with healthcare. He kicked off his career at Cerner and has been working within …
GenAI in the Enterprise with Matthias Pupillo, CEO at FluentC
Matthias Pupillo joins Zach on GenAI in the Enterprise this week. Matthias got into technology the curious way, starting when he was 8, reverse engineering how everything worked. He started his own web development and design firm right out of high school and has continued in that entrepreneurial, growth-oriented vein throughout his career. GenAI has completely disrupted the language technology …
Part 1: Creating an FHIR API – Google or Azure?
Data interoperability is one of the hardest problems in Healthcare IT. The most popular approach is to exchange HL7v2 messages between systems. These pipe-delimited messages are difficult to read by a human and often need additional customizations between implementations.
The next major paradigm shift is towards FHIR (Fast Healthcare Interoperability Resources), a JSON-based standard that is evolving ahead of the needs of the industry. Cloud vendors like Microsoft, Amazon, and Google are trying to lay their claim to be the one-stop shop for healthcare on the cloud.
This blog is part of a 4 part series diving into an actual use case I recently encountered while working with a client. I had to stand up an FHIR repository/API for 2+ million patients that could be used by hundreds of users every day, as well as countless background processes.
Genomic Analysis at Scale with Microsoft Azure
When it comes to the science of genomics, Amazon’s AWS is by far the platform of choice for most organizations. But, just like in the musical Hamilton, Microsoft Azure is “young, scrappy, and hungry.”
It is driven to provide the tools and managed services that are needed to run genomics at scale, with HPC (high-performance computing) and storage being among the hardest facets of the field to get right.
This blog post will first briefly explain genomics. Then, we’ll dive into what Azure has to offer in this field.
White Paper: Tracking Lab Results Better With Blockchain Technology
Attention: The following article was published over 5 years ago, and the information provided may be aged or outdated. Please keep that in mind as you read the post.The Keyhole team is proud to announce the publishing of a new white paper: Tracking Lab Results Better with Blockchain Technology. There are many viable use cases for blockchain technology. In these …
