Data Management

A collection of 3  Posts

Guest Article: OLAP remains a great healthcare analytics architecture, even in the Big Data era

I’ve been getting many questions these days about big data tools and solutions, especially their role in healthcare analytics. I think that unless you’re doing large scale analysis of biomedical data such as genomics, it’s probably best to stick with traditional tried and true analytics tools. Online Analytics Processing (OLAP) can be invaluable for medical facilities to use when interpreting data and health informatics because most of that data is in relational, key-value, or hiearchical databases (such as MUMPS).

The nice folks at Iron Mountain, a publicly traded storage and information management services company, reached out to me during the summer and asked what I think the challenges are around healthcare data management. They recorded my answers in a series of interviews published as part of National Health IT Week (Sep 16th-20th). Here’s the first of the series: Many of you probably already know Iron Mountain as a records management, data backup and recovery, document management, and secure shredding company because they’ve been doing that kind of work for years across many different industries.

I had the privilege of working with Dr. Peter Levin as an outside technology strategy adviser while he was the Chief Technology Officer (CTO) of Veterans Affairs during the first Obama Administration. Peter’s a hard-charging, fast-moving, take-no-prisoners style senior technical executive; he was an entrepreneur, professor, and engineer long before he came into government so it was no surprise that he was able to accomplish a great deal during his tenure as the CTO of VA.

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