Development of a model web-based system to support a statewide quality consortium in radiation oncology
Recommended Citation
Moran JM, Feng M, Benedetti LA, Marsh R, Griffith KA, Matuszak MM, Hess M, McMullen M, Fisher JH, Nurushev T, Grubb M, Gardner S, Nielsen D, Jagsi R, Hayman JA, and Pierce LJ. Development of a model web-based system to support a statewide quality consortium in radiation oncology. Pract Radiat Oncol 2017 May - Jun;7(3):e205-e213.
Document Type
Article
Publication Date
5-1-2017
Publication Title
Pract Radiat Oncol
Abstract
PURPOSE: A database in which patient data are compiled allows analytic opportunities for continuous improvements in treatment quality and comparative effectiveness research. We describe the development of a novel, web-based system that supports the collection of complex radiation treatment planning information from centers that use diverse techniques, software, and hardware for radiation oncology care in a statewide quality collaborative, the Michigan Radiation Oncology Quality Consortium (MROQC).
METHODS AND MATERIALS: The MROQC database seeks to enable assessment of physician- and patient-reported outcomes and quality improvement as a function of treatment planning and delivery techniques for breast and lung cancer patients. We created tools to collect anonymized data based on all plans.
RESULTS: The MROQC system representing 24 institutions has been successfully deployed in the state of Michigan. Since 2012, dose-volume histogram and Digital Imaging and Communications in Medicine-radiation therapy plan data and information on simulation, planning, and delivery techniques have been collected. Audits indicated >90% accurate data submission and spurred refinements to data collection methodology.
CONCLUSIONS: This model web-based system captures detailed, high-quality radiation therapy dosimetry data along with patient- and physician-reported outcomes and clinical data for a radiation therapy collaborative quality initiative. The collaborative nature of the project has been integral to its success. Our methodology can be applied to setting up analogous consortiums and databases.
Medical Subject Headings
Data Collection; Databases, Factual; Humans; Internet; Quality Improvement; Radiation Oncology; Surveys and Questionnaires; User-Computer Interface
PubMed ID
28196607
Volume
7
Issue
3
First Page
e205
Last Page
e213
