data architecture

See the following -

FrontlineSMS, Human Usability, and the Missing Middle Mile

FrontlineSMS started in 2005 with what seemed like a simple, clear ambition: make a tool that makes it easy for offline communities to communicate. The goal wasn’t innovation or profit, it was simply to get a useful tool into the hands of as many people as possible...Looking back, it feels naive to think that it could ever be simple—that delivering usable, open source, multi-channel tools that drive measurable, positive outcomes through text messaging could have ever felt inevitable. Nine years and many iterations (and tens of thousands of users) later, though, we’re more successful than ever—and mostly for unexpected reasons...

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How Apache Kafka is Powering a Real-Time Data Revolution

Two years ago, Neha Narkhede co-founded a company called Confluent to build on her team's work with Apache Kafka. In this interview, we talk about how lots of companies are deploying Kafka and how that has led to a very busy GitHub repo. Narkhede will keynote at All Things Open in Raleigh, NC next week. Q: What was it like leaving LinkedIn to start your own company? Narkhede: It was a great experience and a natural extension of the mission that my co-founders and I had been working on for the past several years—of bringing Apache Kafka and our vision for a new future for a company's data architecture built around streaming data to the forefront...

J P Systems Is Poised to Provide Clinical Data Quality and Interoperability Improvement Services

Press Release | J P Systems, Inc. | December 11, 2018

Doctors are increasingly demanding more context to frame the clinical data they see in EHRs. This context must come from having more complete patient records. When multiple external providers are involved in patient care, data often arrives in the form of clinical documents called CDAs (Clinical Document Architecture). Typically, much of the data in these CDA files is miscoded, misplaced or missing. The danger of bad data is a clear risk to hospitals. These CDA files are generated automatically and in many cases no one is looking at the contents. J P Systems can help reduce risk by increasing the data quality in CDAs exported by the hospital's EHR system.

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Java from MUMPS (JUMPS) used in data migration project for Clinical Trials Project

Press Release | CAV Systems | May 22, 2012

CAV Systems Ltd, a leading Israeli software company has been selected by The University of Texas MD Anderson Cancer Center to map and migrate the Clinical Trials Databases managed by the Office of Protocol Research (OPR) from the current MUMPS system to Oracle as one of the critical stages in MD Anderson’s multiyear eResearch project to modernize management of Clinical Trials. With more than 4,000 clinical studies being administered annually, the current in-house developed system – the Protocol Data Management System (PDMS) – is being phased out and replaced by commercial software products.

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