Odoro

Odoro is a patient scheduling software designed to streamline and enhance the appointment booking process for high-growth medical practices, hospitals/health systems, specialty practices, ophthalmology, and orthopedics. According to the vendor, Odoro offers a 24/7 online patient scheduling solution that can be seamlessly embedded into an existing website or mobile app, allowing new patients to shop for care and easily schedule appointments with providers. The NextUp waitlist feature enables healthcare organizations to fill appointment gaps without creating additional work for staff, automatically notifying patients and booking new appointments upon confirmation. Odoro also provides call center agents and office schedulers with an interactive script that guides them through the scheduling process, reducing training time and eliminating human error.

According to the vendor, Odoro's SchedLogic matching algorithm ensures that patients are matched with the right providers at the right times, reflecting real-life provider priorities and preferences in the digitized workflow. The platform aims to increase efficiencies by instantly finding and scheduling appointments with providers, reducing the workload and burden on staff. It also aims to improve patient engagement and loyalty through 24/7 scheduling and a waitlist option, allowing patients to view relevant providers and schedule care at their preferred time.

The vendor claims that Odoro's online appointment management and automated patient appointment reminders help reduce the number of no-shows, ensuring that patients and providers are always on the same page. Additionally, the NextUp waitlist feature minimizes gaps in the schedule and maximizes physicians' valuable time, allowing them to see more patients. Odoro's guided workflow includes relevant diagnostic and algorithmically personalized questions to understand patient needs and determine the appropriate appointment type. The integration with practice management and electronic medical record (EMR) systems leverages patient historical data in scheduling decisions, ensuring accurate and personalized scheduling based on the patient's history.