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http://dx.doi.org/10.1067/j.cpradiol.2023.06.008 | DOI Listing |
Introduction: The DMAIC approach is a five-phase improvement cycle which enables the advancement of pre-existing processes and was implemented as part of the "lean" process improvement initiative. The present study aims to improve the work efficiency of chemotherapy daycare unit (CDU) at a cancer hospital. The objectives include studying the process flow of the CDU, estimating the patient wait time (PWT) before infusion at the CDU, and implementing new measures to improve its functioning.
View Article and Find Full Text PDFBMC Health Serv Res
September 2024
Department of Social Medicine and Health Management, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, 510006, China.
BMJ Open Qual
September 2024
Medicine, University at Buffalo, The State University of New York, Buffalo, New York, USA.
Background: Implementing guidelines for chronic opioid management during a clinic merger posed significant challenges. Our aim was to increase the percentage of chronic pain evaluations and urine toxicology tests in patients on chronic opioid therapy from the baseline rate of less than 20% to 50% within 1 year at an academic, primary care clinic.
Methods: We applied the Define, Measure, Analyze, Improve, Control (DMAIC) approach of Lean Six Sigma for this quality improvement (QI) project.
Vox Sang
November 2024
Department of Emergency Medicine, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Udupi, Karnataka, India.
Background And Objectives: To develop key performance indicators (KPI) for use in quality assessment of our institutional goal-directed massive transfusion (GDMT).
Materials And Methods: A team comprising our transfusion and emergency medicine departments carried out a cross-sectional data analysis of GDMT in adult patients from January 2021 to December 2022. The study was rooted in the Define, Measure, Analyse, Improve, Control (DMAIC) approach.
Phys Imaging Radiat Oncol
July 2024
IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, 20089 Rozzano, Milan, Italy.
Background And Purpose: Radiotherapy plans with excessive complexity exhibit higher uncertainties and worse patient-specific quality assurance (PSQA) results, while the workload of measurement-based PSQA can impact the efficiency of the radiotherapy workflow. Machine Learning (ML) and Lean Six Sigma, a process optimization method, were implemented to adopt a targeted PSQA approach, aiming to reduce workload, risk of failures, and monitor complexity.
Materials And Methods: Lean Six Sigma was applied using DMAIC (define, measure, analyze, improve, and control) steps.
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