Thomas A Ciulla1,2,3, Mohan V Tatikonda2, Yehya A ElMaraghi2, Rehan M Hussain3, Amanda L Hill1, Julie M Clary2,3, Eyas Hattab2,4. 1. Retina Service, Midwest Eye Institute, Indianapolis, Indiana. 2. Kelley School of Business, Indiana University, Indianapolis, Indiana. 3. School of Medicine, Indiana University, Indianapolis, Indiana. 4. School of Medicine, University of Louisville, Louisville, Kentucky.
Abstract
PURPOSE: Ophthalmologists serve an increasing volume of a growing elderly population undergoing increasingly complex outpatient medical care, including extensive diagnostic testing and treatment. The resulting prolonged patient visit times ("patient flow times") limit quality, patient and employee satisfaction, and represent waste. Lean Six Sigma process improvement was used in a vitreoretinal practice to decrease patient flow time, demonstrating that this approach can yield significant improvement in health care. METHODS: Process flow maps were created to determine the most common care pathways within clinic. Three months' visits from the electronic medical record system, which tracks patient task times at each process step in the office were collected. Care tasks and care pathways consuming the greatest time and variation were identified and modified. Follow-up analysis from 6 weeks' visits was conducted to assess improvement. RESULTS: Nearly all patients took one of five paths through the office. Patient flow was redesigned to reduce waiting room time by having staff members immediately start patients into one of those five paths; staffing was adjusted to address high demand tasks, and scheduling was optimized around derived predictors of patient flow times. Follow-up analysis revealed a statistically significant decline in mean patient flow time by 18% and inpatient flow time SD by 4.6%. Patient and employee satisfaction scores improved. CONCLUSION: Manufacturing industry techniques, such as Lean and Six Sigma, can be used to improve patient care, minimize waste, and enhance patient and staff satisfaction in outpatient clinics.
PURPOSE: Ophthalmologists serve an increasing volume of a growing elderly population undergoing increasingly complex outpatient medical care, including extensive diagnostic testing and treatment. The resulting prolonged patient visit times ("patient flow times") limit quality, patient and employee satisfaction, and represent waste. Lean Six Sigma process improvement was used in a vitreoretinal practice to decrease patient flow time, demonstrating that this approach can yield significant improvement in health care. METHODS: Process flow maps were created to determine the most common care pathways within clinic. Three months' visits from the electronic medical record system, which tracks patient task times at each process step in the office were collected. Care tasks and care pathways consuming the greatest time and variation were identified and modified. Follow-up analysis from 6 weeks' visits was conducted to assess improvement. RESULTS: Nearly all patients took one of five paths through the office. Patient flow was redesigned to reduce waiting room time by having staff members immediately start patients into one of those five paths; staffing was adjusted to address high demand tasks, and scheduling was optimized around derived predictors of patient flow times. Follow-up analysis revealed a statistically significant decline in mean patient flow time by 18% and inpatient flow time SD by 4.6%. Patient and employee satisfaction scores improved. CONCLUSION: Manufacturing industry techniques, such as Lean and Six Sigma, can be used to improve patient care, minimize waste, and enhance patient and staff satisfaction in outpatient clinics.
Authors: Maria Oliva Grassi; Claudio Furino; Nicola Recchimurzo; Fabio De Vitis; Giancarlo Sborgia; Luigi Sborgia; Arianna Meleleo; Teresa Molfetta; Marina Piepoli; Paolo Locatelli; Francesco Boscia; Giovanni Alessio Journal: Int Ophthalmol Date: 2020-06-08 Impact factor: 2.031
Authors: John A Musser; Juno Cho; Amy Cohn; Leslie M Niziol; Dena Ballouz; David T Burke; Paula Anne Newman-Casey Journal: BMC Ophthalmol Date: 2022-06-28 Impact factor: 2.086
Authors: Charles C Lin; Angela S Li; Hung Ma; Xiao Mei Lin; Montserrat Z Olivares; Anna Haubrich; Steven Sanislo; Diana V Do Journal: Retina Date: 2021-10-01 Impact factor: 4.256
Authors: Andrew W Kam; Scott Collins; Tae Park; Michael Mihail; Fiona F Stanaway; Noni L Lewis; Daniel Polya; Samantha Fraser-Bell; Timothy V Roberts; James E H Smith Journal: BMC Health Serv Res Date: 2021-01-07 Impact factor: 2.655
Authors: Bayardo Garay; Denise Erlanson; Bryce A Binstadt; Colleen K Correll; Nora Fitzsimmons; Patricia M Hobday; Allison Hudson; Shawn Mahmud; Mona M Riskalla; Sara Kramer; Sheng Xiong; Richard K Vehe; Danielle R Bullock Journal: BMJ Open Qual Date: 2021-12