Home Face Recognition + RPA for Patient Registration

Face Recognition + RPA for Patient Registration

by sol-admin
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In this demo, you will observe how the patient registration process is managed using facial recognition, RPA, and the practice system without the oversight of a front-desk manager.

In this scenario, a patient is registering at their primary care physician’s clinic. When the patient enters the facility, they will be asked to look into a camera in the entryway. The camera focuses on their face and the recognition algorithm then associates the patient’s live-facial image with the digital picture that resides in the practice software. This process is 100% contained in the physician network.

As the patient walks into the facility to find a seat, the bot then logs into the EMR (Electronic medical records), searches for the patient, and updates their check-in status. If the patient has a question, they have the opportunity to approach the front desk where the manager has the bandwidth to accommodate their questions. If the patient’s appointment cannot be found or there is action required on the account, the patient can be requested at the front desk by the manager. In addition to registering the patient in this example, the robot creates an encounter summary for the clinician or triage nurse to make a more value-driven upfront conversation which accelerates the appointment time. This is especially helpful in telehealth scenarios.

Due to the implementation of facial recognition the patient’s registration cycle time has been minimized. Overly long registration queues have been completely eliminated, operational quality and patient care have been improved and the patient’s medical care has improved with additional insights from their care history.