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Fast-Track Registration: A Way to Increase Efficiency in the IR Division
David P Duncan1, Bryan E Wessel1, Michael A Schacht1
1Department of Radiology, University of Louisville Hospital, 530 South Jackson Street, CCB-C07, Louisville, KY 40202.
Implementing a fast-track registration process in the Interventional Radiology (IR) Division significantly reduced patient wait times and improved procedure start times. This streamlined approach enhanced patient flow and decreased overall time spent in the department.
Area of Science:
- Radiology
- Healthcare Operations
- Patient Flow Management
Background:
- Patient registration is a critical component of healthcare delivery.
- Inefficiencies in the registration process can lead to prolonged patient stays and delayed procedures.
- Optimizing patient flow is essential for improving departmental efficiency and patient satisfaction.
Purpose of the Study:
- To assess the impact of relocating patient registration from the waiting room to the vascular holding area.
- To determine if this change reduced overall patient time within the Radiology Department.
- To evaluate improvements in procedure start times following the registration process modification.
Main Methods:
- A data collection sheet was utilized to record patient-related process timestamps.
- A control group (33 patients) underwent traditional registration.
- A fast-track group (29 patients) were registered by nurses in the vascular holding area, bypassing traditional procedures.
Main Results:
- Total patient time decreased significantly from an average of 215 minutes to 178 minutes (P = .020).
- Average procedure start time improved from 63 minutes past the scheduled time to 33 minutes past (P = .009).
- Variability in start time, recovery time, and total time also significantly decreased.
Conclusions:
- Fast-track registration for outpatient procedures, such as subcutaneous port placement, enhances efficiency.
- The implemented process improves procedure start times and reduces total patient time in the hospital.
- This strategy effectively minimizes process variability, leading to more predictable patient throughput.
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