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DocLinks Announces Use of Clinically Based Machine Learning Programming Into EHR

Updated: Dec 31, 2019

December 1, 2019

OLYMPIA, Washington -- Today, LIN Software, producer of the award-winning DocLinks electronic health record (EHR), announced they are now including programming that will enable machine learning into their system.

"Some new technologies cannot be overlooked for their benefit to the healthcare community," said Dr. Craig Wehrli, Founder and CEO of DocLinks. "We're pleased to be able to offer user experience that includes machine learning for safer, more efficient patient record-keeping."

This addition is especially critical when considering the rate of physician burnout across the US and the need for greater efficiency in systems. The iterative aspect of machine learning is important because, as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It's a science that's not new – but one that has gained fresh momentum.

"Efficiency and safety are two key hallmarks of machine learning for healthcare that we expect our clients to experience," said Kale Meese, Chief Operating Officer. "We're excited to see client response as we believe this will be a game changer."

The DocLinks EHR was originally designed and developed more than 20 years ago by Dr. Wehrli, a practicing cardiologist who also holds a degree in computer science. Dr. Wehrli is the architect of the new DocLinks capabilities and personally codes the software to this day.

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