Discover the Potential of AI
Prepare the future of healthcare today
Petal is helping to shape healthcare by aggregating data that, when coupled with artificial intelligence developments, can help to automate processes and predict outcomes.
The Petal platform helps to automate physician scheduling through a complex algorithm. The Scheduling for Physician solution takes into account a multitude of constraints in order to create the most optimized schedule possible.
Through further AI enhancements, the platform aim to analyze previous schedules and learn allocation trends specific to each healthcare department or organization. These trends could then help define best practices in scheduling for different healthcare specialties.
Petal’s Patient Self-Scheduling module helps patients efficiently book the most convenient appointments for their unique circumstances. With access to the totality of patient demand data, it would be possible for AI to learn and ultimately predict the best appointment for each patient based on their demographics and existing relationship with a physician or healthcare organization.
Improving the efficiency of accessing care for patients ultimately ends with improved outcomes, as they adhere to scheduled appointments and treatment plans more closely.
Petal’s Orchestrator platform is able to aggregate patient demand and healthcare supply data. These data sets are essential for predicting seasonal fluctuations of healthcare demand and highlight shortfalls or abundances in the healthcare offering.
Government agencies or healthcare network administrators could leverage AI modelling to make data-driven decisions to improve the access of care for all.