In most hospitals where surgery is performed, there is always a drive to ensure the patients, the physicians and the staff enjoy an efficient and streamlined experience on their day of surgery. To ensure this, the organization needs a way to better predict the surgical case time.
Past general guidelines didn't account for the specific needs or the condition of the patient, the specific provider as well as many other factors. As a result, everyone can become frustrated with the surgical experience.
By leveraging machine learning, we can now better predict a case duration and schedule the surgical day accordingly.
Takeaways:
Presented by:
Michael Ricci, Vice President of Digital Solutions & Delivery, CIO of Eye & Ear, Mass General Brigham