Update Patients on Wait Times


Automated updates of exam start times to be communicated to waiting patients


Non-Interpretative, wait time, outpatient, automated


Patient Facing

Define-AI ID



Patient Facing Panel

Panel Chair

Michael Moore
Non-Interpretive Chairs Alexander J. Towbin, Adam Prater

Panel Reviewers

Patient Facing Panel


Creative Commons 4.0

Status Public Comment

Clinical Implementation

Value Proposition

Research shows that patients in routine outpatient imaging are not necessarily dissatisfied because their wait is long, but they are dissatisfied when the wait time is longer than expected. It is known that updating patients on delays can significantly improve the patient experience and result in higher satisfaction scores.


A patient arrives appropriately 30 minutes before the appointed exam time at 9 am. They sign in at the front desk, fill out any necessary paperwork, and wait to be called to get their imaging study.
The technologist who is supposed to be calling the patient may experience a delay, such as a technical issue with their equipment, or a delay related to a previous patient that had a complication of a contrast reaction or an inpatient that arrived late due to transport issues. While the technologist is dealing with their issue, they do not at the same time have the opportunity to let the front desk patient know about the delay. In the meantime, the patient is getting anxious because they have not been called on the appointed time, and they need to know whether this is a minor delay (10 minutes), or will take longer. Patients may need to inform their employers or families about delays, or cancel/reschedule any other appointments that day. Patients who are paid in hourly wages may experience financial loss related to imaging delays.

Workflow Description

Calculate each patient wait time. Deliver this information to staff to let patients know or by notifying patients directly.

Considerations for Dataset Development

Average duration to image patient for any given indication, on any piece of equipment, with any number of available staff

Technical Specifications



Number of Available Imaging Equipment


Number of imaging equipment with staff operating it


Number of available technicians


Number of radiology technologists operating the equipment at the same time


Patients in queue


Number of patients scheduled per time point per equipment per location.

Potential Feature(s)

Number of patients and exam type for each.


Average time for each procedure


the time it takes to complete a procedure

Potential Feature(s)

time from waiting area to changing room, time from changing room to equipment room, time from start to end of exam

Patient check-in time


when the patient checks in at the front desk



Primary Outputs


Patients estimated wait time


For each patient, estimate the time they will be called for their imaging study based on the set of input features

Data Type


Value Set




Future Development Ideas

Calculate the average time delay based on patient complications to improve model performance.