The Problem

Healthcare professionals rarely need an entire policy document. They need answers to specific questions.

• What services are covered?

• What clinical criteria must be met?

• What documentation is required?

• What exclusions exist?

• What information is still unclear?

Traditional document search often requires reading dozens of pages to locate those answers.

Product Goals

• Reduce the time required to review lengthy policy documents.

• Organize complex information into consistent, structured summaries.

• Highlight clinical criteria and documentation requirements.

• Surface important exclusions and limitations.

• Identify unanswered questions requiring human review.

• Support—not replace—clinical and business decision-making.

What This Project Reinforced

This project reinforced another principle that has guided my work in healthcare technology: the greatest opportunity for AI often isn't generating new information—it's making existing information easier for people to understand and apply.

Medical policies already contain the knowledge clinicians and operational teams need. The challenge is rarely a lack of information; it's the time required to locate, interpret, and organize it within complex workflows. By transforming lengthy documents into consistent, structured summaries, AI can reduce cognitive burden while allowing clinicians and business experts to focus their attention on judgment rather than information retrieval.

That philosophy closely aligns with how I think about healthcare product development more broadly. The most valuable AI solutions rarely replace expertise. They make expertise easier to apply by delivering the right information, in the right format, at the right moment.