Hyland’s AI Approach to Making Sense of Unstructured Healthcare Data

Healthcare runs on data. Most of it is still unstructured!!!! I had a great conversation on The Ravit Show with Lyle McMillin, AVP of Product Management at Hyland, where we went deep into how healthcare organizations are turning unstructured content into real decisions.

A few points that stood out to me:

- Most healthcare data is unstructured. In many organizations, it is close to 80 percent. This includes clinical and admin documents, faxes, emails, and massive imaging files like X-rays, CTs, and MRIs

- Hyland’s Content Innovation Cloud is changing how this data is used. Lyle shared how their Intelligent Med Record solution is helping teams move faster. A beta customer, Nebraska Medicine, saw a 99 percent improvement in time to value, with classification accuracy improving from 95 to 96 percent, driven by new LLM-based capabilities.

- AI is no longer just about automation. It is about decision support.

With Knowledge Discovery, teams can ask natural language questions and get answers with direct links to the exact place in the document. This can cut 60 to 80 percent of the time spent searching and stitching information together.

- Agentic AI was the most interesting part of the discussion.

From classifying documents to pulling missing records, bundling them, and sending claims back to payers, the system can handle most of the workflow. When humans step in, 80 percent of the work is already done.

Healthcare transformation is not only about new systems.

It is about finally making sense of the data we already have.

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