Reinventing Diagnostic Scheduling and Saving Millions with PromptQL

The company behind a large outpatient diagnostic imaging provider in the U.S. modernized its critical scheduling process for diagnostic tests, including mammograms, by accelerating to an AI-driven solution called PromptQL. The traditional UI modernization was deemed insufficient due to the complexity of scheduling, which required a scheduler to manually navigate across dozens of tabs and memorize business rules to select the correct procedure code from over 300 options. This task alone could take up to 12 minutes per appointment, resulting in costly mistakes such as incorrect codes, canceled appointments, lost revenue, and patient dissatisfaction. PromptQL created an AI-powered scheduling co-pilot that improves operational efficiency, enables faster and more accurate scheduling, and supports better patient outcomes. With the expected productivity gains of up to $50 million once fully rolled out across hundreds of locations in North America, the customer now has a scalable, explainable, and efficient workflow that reduces friction for patients, schedulers, and developers alike, and is preparing to expand the model to other diagnostic imaging workflows.

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