Patient flow analysis: planning a new surgery unit

2012 ◽  
Vol 18 (2) ◽  
pp. 96-102 ◽  
Author(s):  
Sauli Karvonen ◽  
Matti Lehto ◽  
Jussi Elo
2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Rowena Almeida ◽  
William G. Paterson ◽  
Nancy Craig ◽  
Lawrence Hookey

Background. The increasing demand for endoscopic procedures coincides with the paradigm shift in health care delivery that emphasizes efficient use of existing resources. However, there is limited literature on the range of endoscopy unit efficiencies.Methods. A time and motion analysis of patient flow through the Hotel-Dieu Hospital (Kingston, Ontario) endoscopy unit was followed by qualitative interviews. Procedures were directly observed in three segments: individual endoscopy room use, preprocedure/recovery room, and overall endoscopy unit utilization.Results. Data were collected for 137 procedures in the endoscopy room, 139 procedures in the preprocedure room, and 143 procedures for overall room utilization. The mean duration spent in the endoscopy room was 31.47 min for an esophagogastroduodenoscopy, 52.93 min for a colonoscopy, 30.47 min for a flexible sigmoidoscopy, and 66.88 min for a double procedure. The procedure itself accounted for 8.11 min, 34.24 min, 9.02 min, and 39.13 min for the above procedures, respectively. The focused interviews identified the scheduling template as a major area of operational inefficiency.Conclusions. Despite reasonable procedure times for all except colonoscopies, the endoscopy room durations exceed the allocated times, reflecting the impact of non-procedure-related factors and the need for a revised scheduling template. Endoscopy units have unique operational characteristics and identification of process inefficiencies can lead to targeted quality improvement initiatives.


2016 ◽  
Vol 10 (3) ◽  
pp. 142-151 ◽  
Author(s):  
Sauli Karvonen ◽  
Isto Nordback ◽  
Jussi Elo ◽  
Jouni Havulinna ◽  
Heikki-Jussi Laine

Objective: The objective of the present study was to describe how a specific patient flow analysis with from-to charts can be used in hospital design and layout planning. Background: As part of a large renewal project at a university hospital, a detailed patient flow analysis was applied to planning the musculoskeletal surgery unit (orthopedics and traumatology, hand surgery, and plastic surgery). Method: First, the main activities of the unit were determined. Next, the routes of all patients treated over the course of 1 year were studied, and their physical movements in the current hospital were calculated. An ideal layout of the new hospital was then generated to minimize transfer distances by placing the main activities with close to each other, according to the patient flow analysis. The actual architectural design was based on the ideal layout plan. Finally, we compared the current transfer distances to the distances patients will move in the new hospital. Results: The methods enabled us to estimate an approximate 50% reduction in transfer distances for inpatients (from 3,100 km/year to 1,600 km/year) and 30% reduction for outpatients (from 2,100 km/year to 1,400 km/year). Conclusions: Patient transfers are nonvalue-added activities. This study demonstrates that a detailed patient flow analysis with from-to charts can substantially shorten transfer distances, thereby minimizing extraneous patient and personnel movements. This reduction supports productivity improvement, cross-professional teamwork, and patient safety by placing all patient flow activities close to each other. Thus, this method is a valuable additional tool in hospital design.


2019 ◽  
Vol 14 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Lauren Destino ◽  
Denise Bennett ◽  
Matthew Wood ◽  
Christy Acuna ◽  
Stephanie Goodman ◽  
...  

2015 ◽  
Vol 3 (1) ◽  
pp. 126-134 ◽  
Author(s):  
Cinnamon A Dixon ◽  
Damien Punguyire ◽  
Melinda Mahabee-Gittens ◽  
Mona Ho ◽  
Christopher J Lindsell

2019 ◽  
Vol 4 (4) ◽  
pp. 128-133 ◽  
Author(s):  
Afsoon Aeenparast ◽  
Faranak Farzadi ◽  
Farzaneh Maftoon ◽  
Hossein Yahyazadeh

Background: Overcrowding is an important problem for outpatient services in healthcare facilities. Patient flow analysis (PFA) is a useful method for identifying inefficiencies in and facilitating patient flow. Objective: PFA was used to estimate patient wait time and determine how different clinical disciplines impact wait times in the studied hospital. Methods: This cross-sectional study investigated a study population comprised of outpatients who referred to clinics at a general hospital in Tehran, Iran. A total of 3836 samples were selected from different stations. Nonrandomized quota sampling was used, and data was gathered using workflow checklists, the content validity of which was proven by experts and hospital authorities. SPSS statistical software was used for data analysis. Results: Total patient stay in the outpatient setting was an estimated 77 minutes (without considering para-clinic units and pharmacy). More than 90% of this time was spent waiting. The wait time of patients at the clinic was greater than that at other stations, and it was less at the cash station than at other stations. Wait times varied at different clinics (P value < 0.001) and were correlated with physician delay (P value < 0.001). Conclusion: The most important result of using PFA in the outpatient setting was managing wait times. This study indicated that a considerable amount of a patient’s total stay in the system was related to waiting for physical examinations. This suggests that the first priority in improving the system should be managing patient wait times for physical examinations.


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