Why Are Healthcare and Big Data a Good Match?

Big data analytics has the potential to dramatically improve the healthcare system, especially during the transition to value-based care. Health systems that are able to collect and analyze data and effectively apply these insights can improve patient and physician engagement, as well as lower overhead costs.

With the help of a big data hub that collects and analyzes information from a variety of sources – such as EHR, call center, and consumer data – healthcare providers can create actionable insights in near real time. More

Lars Ewe

Lars Ewe

Lars Ewe runs Platform Engineering and Operations at Evariant. He joined Evariant from Click Security, where he oversaw all engineering and SaaS operations around Click Security's big data security platform. Prior to Click Security, Lars was the Chief Security Architect at National Instruments, and prior to that he was the CTO / VP of Engineering at Cenzic, Inc, an application security company. He's also held senior management roles at AMD, Borland, Oracle Corp, and WebGain. Lars has more than 20 years of enterprise software and platform infrastructure expertise. He earned his Masters degree in Mechanical Engineering from University of Munich, Germany.
Lars Ewe

What’s the Best Way to Manage Big Data for Healthcare: Batch vs. Stream Processing?

Big Data for HealthcareThe healthcare industry is on the verge of a “big data” revolution. By 2019, data levels will reach 40 zettabytes, triple what they are today. Ninety percent of the data in the world has been created in the last two years alone.

So what does big data mean for healthcare?

With this massive influx of patient and physician data from EHRs, surveys, personal data sources, and more, healthcare institutions need to find effective ways to leverage the information available to them.

Historically, the healthcare industry has lagged in technology adoption. In fact, many systems are still relying on large data processing in the form of batch processing, which comes with certain limitations, including the inability to process data quickly. Stream processing, on the other hand, has the ability to process data in near real time, giving health systems a much higher level of accuracy with time-sensitive data processing. More

Lars Ewe

Lars Ewe

Lars Ewe runs Platform Engineering and Operations at Evariant. He joined Evariant from Click Security, where he oversaw all engineering and SaaS operations around Click Security's big data security platform. Prior to Click Security, Lars was the Chief Security Architect at National Instruments, and prior to that he was the CTO / VP of Engineering at Cenzic, Inc, an application security company. He's also held senior management roles at AMD, Borland, Oracle Corp, and WebGain. Lars has more than 20 years of enterprise software and platform infrastructure expertise. He earned his Masters degree in Mechanical Engineering from University of Munich, Germany.
Lars Ewe