مشخصات مقاله:
عنوان فارسی مقاله:
یک چارچوب تضمین کیفیت سیستماتیک برای ارتقا سیستم های اطلاعاتی آنکولوژی پرتونگاری
عنوان انگلیسی مقاله:
A systematic quality assurance framework for the upgrade of radiation oncology information systems
کلمات کلیدی مقاله:
تضمین کیفیت، سیستم اطلاعاتی انکولوژی تابش، تمامیت و ایمنی داده های بالینی، مدیریت داده های انکولوژی رادیولوژی، سیستم انکولوژی یکپارچه
کلمات کلیدی انگلیسی:
Quality assurance – Radiation oncology information system – Clinical data integrity and safety – Radiation oncology data management – Integrated oncology system
مناسب برای رشته های دانشگاهی زیر:
پزشکی
مناسب برای گرایش های دانشگاهی زیر:
رادیولوژی، خون و آنکولوژی
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
1. Introduction
2. Methods and materials
2.1. ROIS relational database
2.2. ROIS DICOM interface
2.3. Beam data and machine configurations
2.4. ROIS static files and EMR documents
2.5. User-generated documents in ROIS
2.6. Mode-up test and end-to-end test
3. Results
4. Discussions
Declaration of Competing Interest
Appendix 1. . Structure of ROIS database
References
قسمتی از مقاله انگلیسی:
1. Introduction
With the advancement of computer technology and the transition from paper-based medical records to electronic medical records (EMRs) [1–3], radiation oncology information systems (ROISs) [4] have become increasingly complex and data-intensive. Their functionalities have been extended from a simple record-and-verify system [5] to a comprehensive radiation oncology patient care system with numerous subsystems, such as patient image storage, patient demographics, treatment scheduling, treatment delivery and records, follow-up visits, and even treatment planning. ROISs are playing a pivotal role in improving patient care regarding efficiency and safety [4], as well as reducing the error rate in the clinic [2,6,7]. However, a ROIS, as an emerging complex technology, may face new challenges and introduce a new venue for errors [6,8]. Therefore, quality assurance (QA) issues for ROISs have been raised in the radiation oncology community [7,9]. There are occasions that can put ROISs at high risks, such as, a software upgrade or hardware change [10], which might be in company with database migration. Because of the complexity of patient data and hybrid database storage architecture, database migration is becoming much more complex and risky. A clinical ROI system provides treatment parameters (such as gantry angle, collimator angle, couch angle, jaw position, multileaf collimator position, monitor units, etc.) to a treatment delivery system (such as linear accelerators) and then records all treatment histories and activities. If any of the treatment parameters is accidentally modified in the database during the ROIS upgrade, treatment will deviate from the intended plan, with consequences that could harm patients and/or lessen treatment effectiveness. An intensitymodulated radiation treatment/volumetric-modulated arc therapy plan might include thousands of treatment parameters, so that it is almost impossible to check these manually as was done in the past.