Eliminating inconsistencies in simulation and treatment planning orders in radiation therapy.

PURPOSE To identify deficiencies with simulation and treatment planning orders and to develop corrective measures to improve safety and quality. METHODS AND MATERIALS At Washington University, the DMAIIC formalism is used for process management, whereby the process is understood as comprising Define, Measure, Analyze, Improve, Implement, and Control activities. Two complementary tools were used to provide quantitative assessments: failure modes and effects analysis and reported event data. The events were classified by the user according to severity. The event rates (ie, number of events divided by the number of opportunities to generate an event) related to simulation and treatment plan orders were determined. RESULTS We analyzed event data from the period 2008-2009 to design an intelligent SIMulation and treatment PLanning Electronic (SIMPLE) order system. Before implementation of SIMPLE, event rates of 0.16 (420 of 2558) for a group of physicians that were subsequently used as a pilot group and 0.13 (787 of 6023) for all physicians were obtained. An interdisciplinary group evaluated and decided to replace the Microsoft Word-based form with a Web-based order system. This order system has mandatory fields and context-sensitive logic, an ability to create templates, and enables an automated process for communication of orders through an enterprise management system. After the implementation of the SIMPLE order, the event rate decreased to 0.09 (96 of 1001) for the pilot group and to 0.06 (145 of 2140) for all physicians (P<.0001). The average time to complete the SIMPLE form was 3 minutes, as compared with 7 minutes for the Word-based form. The number of severe events decreased from 10.7% (45 of 420) and 12.1% (96 of 787) to 6.2% (6 of 96) and 10.3% (15 of 145) for the pilot group and all physicians, respectively. CONCLUSIONS There was a dramatic reduction in the total and the number of potentially severe events through use of the SIMPLE system. In addition, the order process has become more efficient and reliable.

[1]  M. E. Sayed Measuring quality in emergency medical services: a review of clinical performance indicators. , 2012 .

[2]  John J. Lanczycki Sailing Through Six Sigma , 2003 .

[3]  Sasa Mutic,et al.  Event (error and near-miss) reporting and learning system for process improvement in radiation oncology. , 2010, Medical physics.

[4]  M. Rehani,et al.  Unintended exposure in radiotherapy: identification of prominent causes. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[5]  Jean-Pierre Bissonnette,et al.  Trend analysis of radiation therapy incidents over seven years. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[6]  B. Curran,et al.  Addressing connectivity issues: The Integrating the Healthcare Enterprise-Radiation Oncology (IHE-RO) initiative. , 2011, Practical radiation oncology.

[7]  Eric C Ford,et al.  Evaluation of safety in a radiation oncology setting using failure mode and effects analysis. , 2009, International journal of radiation oncology, biology, physics.

[8]  Claire Lemer,et al.  An international review of patient safety measures in radiotherapy practice. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[9]  T. K. Yeung,et al.  Quality assurance in radiotherapy: evaluation of errors and incidents recorded over a 10 year period. , 2005, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[10]  T. Pawlicki,et al.  Commentary: Safety considerations in contemporary radiation oncology: Introduction to a series of ASTRO safety white papers. , 2011, Practical radiation oncology.

[11]  O. Holmberg,et al.  Preventing treatment errors in radiotherapy by identifying and evaluating near misses and actual incidents , 2002 .

[12]  Laval Grimard,et al.  The management of radiation treatment error through incident learning. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.