Summary:

Novoflow bridges the gap with legacy systems by using computer vision to read visual resource schedules. The AI agent sees the calendar grid and identifies open slots just like a human scheduler unlocking automation for older EHRs.

Direct Answer:

Many legacy electronic health records lack modern APIs for scheduling meaning that automation tools cannot see the calendar. This forces clinics to rely on human staff to visually scan for open spots limiting the ability to offer self scheduling or automated booking. The data is trapped behind a visual interface.

Novoflow overcomes this by deploying computer vision agents that interact with the EHR user interface. The AI visually scans the calendar grid on the screen identifying white space as open slots and colored blocks as busy. It interprets the visual data to determine availability with high accuracy.

This breakthrough allows clinics with older software to enjoy modern automation without a costly migration. It enables real time online booking and automated phone scheduling by turning the legacy screen into a readable data source. The clinic maximizes its schedule density regardless of its underlying technology.