The document analyzes wait times and workflow at a US eye institute using data from 581 patient visits between December 2015 and March 2016. It found that only 3 of 6 clinics met scheduled appointment times, with long wait times to see providers. Recommendations include scheduling templates separated by role, informing patients of delays, and assigning a flow manager. Limitations include some necessary variable length procedures and lack of detail in the Epic recording system.

1. Executive Summary
By Antoine, Karol, Daniela, Margarita and Jessica
This initiative Project provides an analysis and evaluations of the current wait times and
work flow of the USF Eye Institute’s patients, providers and technicians to decrease
waiting time identifying improvement opportunities.
The data was collected from EPIC database (from 12.02.2015 to 3.30.2016) totalizing
581 patients. The methodology of the analysis includes statistical analysis, as well as
time observations. Other visual analyses include workflow diagrams, bar graphs and
fishbone diagrams.
Results of data analyzed show that from six(6) clinics,onlythree (3) of them are fulfilling
the scheduled time for astandard appointment in the template. Allthe others are above
these standards. In particular, comparative performance between other ophthalmology
institutes is poor in the areas of wait time at clinic,delays and wait times to seeprovider.
This study found that the prospects of the institute in its current position are not
positive. The major areas of weakness require implementation of proposals and
remedial action by management.
Recommendations discussed include:
 Scheduling template consistent with visit types (separate appointment for
technicians, providers and photography)
 Provide patient with information about delays
 Assign a waiting/flow room manager role
The project also takes into account that the analysis conducted has limitations. Some of
the limitations are related to certain processes that need to be done to patients and last
for a specificamount of time such as dilation of the eyes of patients, photography, visual
field tests, and others. Also, the systemused to record all the patient visits (Epic) is not
always accurate as not enough information is provided or enough detail (i.e. check out
times, waiting times in photography, etc.).