StirrPlanner produces daily schedules for traveling clinicians to maximize the number of appointments and minimize distance traveled. Merely optimizing a travel route is not enough. Since patients/customers must agree on an appointment date and time, scheduling these appointments in such a way that creates an efficient itinerary for the traveling worker is difficult and impossible to scale. StirrPlanner seamlessly and with no need for geographical knowledge enables the centralized scheduler (such as a call center) to make appointments that minimize travel distance and time for the mobile worker.
Reducing unnecessary travel allows for more appointments, decreases travel reimbursements, and improves customer satisfaction.
The system’s AI and adaptive machine learning processes scrub for duplicates and errors, append phone numbers and demographic info, and further enrich the data through web scraping and other extractions from available sources. The outcome is a single file that is clean, enriched, normalized and housed in StirrData’s secure cloud data warehouse to view online or download.