Literature DB >> 26362705

RO-ILS: Radiation Oncology Incident Learning System: A report from the first year of experience.

David J Hoopes1, Adam P Dicker2, Nadine L Eads3, Gary A Ezzell4, Benedick A Fraass5, Theresa M Kwiatkowski6, Kathy Lash7, Gregory A Patton8, Tom Piotrowski9, Cindy Tomlinson3, Eric C Ford10.   

Abstract

PURPOSE: Incident learning is a critical tool to improve patient safety. The Patient Safety and Quality Improvement Act of 2005 established essential legal protections to allow for the collection and analysis of medical incidents nationwide. METHODS AND MATERIALS: Working with a federally listed patient safety organization (PSO), the American Society for Radiation Oncology and the American Association of Physicists in Medicine established RO-ILS: Radiation Oncology Incident Learning System (RO-ILS). This paper provides an overview of the RO-ILS background, development, structure, and workflow, as well as examples of preliminary data and lessons learned. RO-ILS is actively collecting, analyzing, and reporting patient safety events.
RESULTS: As of February 24, 2015, 46 institutions have signed contracts with Clarity PSO, with 33 contracts pending. Of these, 27 sites have entered 739 patient safety events into local database space, with 358 events (48%) pushed to the national database.
CONCLUSIONS: To establish an optimal safety culture, radiation oncology departments should establish formal systems for incident learning that include participation in a nationwide incident learning program such as RO-ILS.
Copyright © 2015 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2015        PMID: 26362705     DOI: 10.1016/j.prro.2015.06.009

Source DB:  PubMed          Journal:  Pract Radiat Oncol        ISSN: 1879-8500


  22 in total

1.  The Lessons Learned from Patients We Didn't Help.

Authors:  Varun K Chowdhry
Journal:  Oncologist       Date:  2019-03-06

2.  Overview of the American Society for Radiation Oncology-National Institutes of Health-American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data.

Authors:  Stanley H Benedict; Karen Hoffman; Mary K Martel; Amy P Abernethy; Anthony L Asher; Jacek Capala; Ronald C Chen; Bhisham Chera; Jennifer Couch; James Deye; Jason A Efstathiou; Eric Ford; Benedick A Fraass; Peter E Gabriel; Vojtech Huser; Brian D Kavanagh; Deepak Khuntia; Lawrence B Marks; Charles Mayo; Todd McNutt; Robert S Miller; Kevin L Moore; Fred Prior; Erik Roelofs; Barry S Rosenstein; Jeff Sloan; Anna Theriault; Bhadrasain Vikram
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-07-01       Impact factor: 7.038

3.  The impact of COVID-19 on a high-volume incident learning system: A retrospective analysis.

Authors:  Dustin J Jacqmin; Jennie S M Crosby
Journal:  J Appl Clin Med Phys       Date:  2022-05-26       Impact factor: 2.243

4.  Strategies for effective physics plan and chart review in radiation therapy: Report of AAPM Task Group 275.

Authors:  Eric Ford; Leigh Conroy; Lei Dong; Luis Fong de Los Santos; Anne Greener; Grace Gwe-Ya Kim; Jennifer Johnson; Perry Johnson; James G Mechalakos; Brian Napolitano; Stephanie Parker; Deborah Schofield; Koren Smith; Ellen Yorke; Michelle Wells
Journal:  Med Phys       Date:  2020-04-15       Impact factor: 4.071

5.  Application of an incident taxonomy for radiation therapy: Analysis of five years of data from three integrated cancer centres.

Authors:  Stuart Greenham; Stephen Manley; Kirsty Turnbull; Matthew Hoffmann; Amara Fonseca; Justin Westhuyzen; Andrew Last; Noel J Aherne; Thomas P Shakespeare
Journal:  Rep Pract Oncol Radiother       Date:  2018-05-10

6.  Critical success factors for implementation of an incident learning system in radiation oncology department.

Authors:  Lucas Augusto Radicchi; José Carlos de Toledo; Dário Henrique Alliprandini
Journal:  Rep Pract Oncol Radiother       Date:  2020-10-03

7.  Improving treatment plan evaluation with automation.

Authors:  Elizabeth L Covington; Xiaoping Chen; Kelly C Younge; Choonik Lee; Martha M Matuszak; Marc L Kessler; Wayne Keranen; Eduardo Acosta; Ashley M Dougherty; Stephanie E Filpansick; Jean M Moran
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

Review 8.  Intensity-modulated radiation therapy: a review with a physics perspective.

Authors:  Byungchul Cho
Journal:  Radiat Oncol J       Date:  2018-03-30

9.  A patient safety education program in a medical physics residency.

Authors:  Eric C Ford; Matthew Nyflot; Matthew B Spraker; Gabrielle Kane; Kristi R G Hendrickson
Journal:  J Appl Clin Med Phys       Date:  2017-09-12       Impact factor: 2.102

10.  Development and implementation of a radiation therapy incident learning system compatible with local workflow and a national taxonomy.

Authors:  Logan Montgomery; Palma Fava; Carolyn R Freeman; Tarek Hijal; Ciro Maietta; William Parker; John Kildea
Journal:  J Appl Clin Med Phys       Date:  2017-11-22       Impact factor: 2.102

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