Use of patient flow analysis to improve patient visit efficiency by decreasing wait time in a primary care-based disease management programs for anticoagulation and chronic pain: a quality improvement study
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Potisek, Nicholas M, et al. Use of Patient Flow Analysis to Improve Patient Visit Efficiency by Decreasing Wait Time In a Primary Care-based Disease Management Programs for Anticoagulation and Chronic Pain: a Quality Improvement Study. BioMed Central Ltd, 2007. https://doi.org/10.17615/ffxg-9162APA
Potisek, N., Malone, R., Shilliday, B., Ives, T., Chelminski, P., Pignone, M., & De Walt, D. (2007). Use of patient flow analysis to improve patient visit efficiency by decreasing wait time in a primary care-based disease management programs for anticoagulation and chronic pain: a quality improvement study. BioMed Central Ltd. https://doi.org/10.17615/ffxg-9162Chicago
Potisek, Nicholas M, Robert M Malone, Betsy Shilliday, Timothy Ives, Paul R Chelminski, Michael Pignone, and Darren A De Walt. 2007. Use of Patient Flow Analysis to Improve Patient Visit Efficiency by Decreasing Wait Time In a Primary Care-Based Disease Management Programs for Anticoagulation and Chronic Pain: a Quality Improvement Study. BioMed Central Ltd. https://doi.org/10.17615/ffxg-9162- Creator
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Potisek, Nicholas M
- Affiliation: School of Medicine, Department of Medicine, Division of General Medicine and Clinical Epidemiology
- Other Affiliation: Center for Excellence in Chronic Illness Care, UNC Health System
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Malone, Robert M.
- Affiliation: Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics
- Other Affiliation: Center for Excellence in Chronic Illness Care, UNC Health System
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Shilliday, Betsy
- Affiliation: Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics
- Other Affiliation: Center for Excellence in Chronic Illness Care, UNC Health System
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Ives, Timothy
- Affiliation: Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics
- Other Affiliation: Center for Excellence in Chronic Illness Care, UNC Health System
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Chelminski, Paul R.
- Affiliation: School of Medicine, Department of Medicine, Division of General Medicine and Clinical Epidemiology
- Other Affiliation: Center for Excellence in Chronic Illness Care, UNC Health System
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Pignone, Michael
- Affiliation: School of Medicine, Department of Medicine, Division of General Medicine and Clinical Epidemiology
- Other Affiliation: Center for Excellence in Chronic Illness Care, UNC Health System
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DeWalt, Darren A
- Affiliation: School of Medicine, Department of Medicine, Division of General Medicine and Clinical Epidemiology
- Other Affiliation: Center for Excellence in Chronic Illness Care, UNC Health System
- Abstract
- Background Patients with chronic conditions require frequent care visits. Problems can arise during several parts of the patient visit that decrease efficiency, making it difficult to effectively care for high volumes of patients. The purpose of the study is to test a method to improve patient visit efficiency. Methods We used Patient Flow Analysis to identify inefficiencies in the patient visit, suggest areas for improvement, and test the effectiveness of clinic interventions. Results At baseline, the mean visit time for 93 anticoagulation clinic patient visits was 84 minutes (+/- 50 minutes) and the mean visit time for 25 chronic pain clinic patient visits was 65 minutes (+/- 21 minutes). Based on these data, we identified specific areas of inefficiency and developed interventions to decrease the mean time of the patient visit. After interventions, follow-up data found the mean visit time was reduced to 59 minutes (+/-25 minutes) for the anticoagulation clinic, a time decrease of 25 minutes (t-test 39%; p < 0.001). Mean visit time for the chronic pain clinic was reduced to 43 minutes (+/- 14 minutes) a time decrease of 22 minutes (t-test 34 %; p < 0.001). Conclusion Patient Flow Analysis is an effective technique to identify inefficiencies in the patient visit and efficiently collect patient flow data. Once inefficiencies are identified they can be improved through brief interventions.
- Date of publication
- January 15, 2007
- DOI
- Identifier
- Resource type
- Article
- Rights statement
- In Copyright
- Rights holder
- Nicholas M Potisek et al.; licensee BioMed Central Ltd.
- License
- Journal title
- BMC Health Services Research
- Journal volume
- 7
- Journal issue
- 1
- Page start
- 8
- Language
- English
- Is the article or chapter peer-reviewed?
- Yes
- ISSN
- 1472-6963
- Bibliographic citation
- BMC Health Services Research. 2007 Jan 15;7(1):8
- Publisher
- BioMed Central Ltd
- Access right
- Open Access
- Date uploaded
- September 5, 2012
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