Data Warehousing

When implemented correctly, these programs can effectively crowdsource security research and testing services to help uncover real world exploitable vulnerabilities.

In the COVID-19 era, health systems recognize that existing data infrastructure is inadequate. Here are three things large datasets need to be useful.

Maintaining a large infrastructure requires substantial investment. IT leadership must also have an understanding of business plans for growth and scale.

The widespread use of SolarWinds software means many organizations are now scrambling to determine whether they too may have suffered a breach. Here are some remediations and mitigations that can help get a handle on the issue.

Collaboration tools are undergoing drastic version updates and feature overhauls on a very frequent basis, which force security departments to keep a close eye on upcoming changes to determine whether their standards will still be met.

When working with big data, small inconsistencies in data entry matter. Leaving the task of cleaning up registration or demographic data to data scientists or IT staff will be expensive.

"Data is the currency of the next century," says Brian Ahier. And nowhere are health data and data management processes discussed, analyzed and examined more than at the HIMSS Annual Conference and Exhibition.

One of my all-time favorite Star Trek original series episodes is entitled "The Trouble with Tribbles.

The days of James Bond and his world-saving exploits are over. In today's reality, nation-states and their criminal partners can disrupt commerce and defenses in the free world from the safety and comfort of their computer desks.

Health organizations are often moving too quickly from EHR implementation to population health and risk-based contracts, glossing over (or skipping entirely) the crucial step of evaluating the quality of the data they're using.