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Electronic Medical Record Inaccuracies: Multicenter Analysis of Challenges with Modified Lung Cancer Screening Criteria
المؤلفون المشاركون
Wilshire, Candice L.
Gorden, Jed A.
Louie, Brian E.
Vallieres, Eric
Aye, Ralph W.
Gilbert, Christopher R.
Fuller, Carson C.
Handy, John R.
Costas, Kimberly E.
Farivar, Alexander S.
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-26
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
The National Comprehensive Cancer Network expanded their lung cancer screening (LCS) criteria to comprise one additional clinical risk factor, including chronic obstructive pulmonary disease (COPD).
The electronic medical record (EMR) is a source of clinical information that could identify high-risk populations for LCS, including a diagnosis of COPD; however, an unsubstantiated COPD diagnosis in the EMR may lead to inappropriate LCS referrals.
We aimed to detect the prevalence of unsubstantiated COPD diagnosis in the EMR for LCS referrals, to determine the efficacy of utilizing the EMR as an accurate population-based eligibility screening “trigger” using modified clinical criteria.
We performed a multicenter review of all individuals referred to three LCS programs from 2012 to 2015.
Each individual’s EMR was searched for COPD diagnostic terms and the presence of a diagnostic pulmonary functionality test (PFT).
An unsubstantiated COPD diagnosis was defined by an individual’s EMR containing a COPD term with no PFTs present, or the presence of PFTs without evidence of obstruction.
A total of 2834 referred individuals were identified, of which 30% (840/2834) had a COPD term present in their EMR.
Of these, 68% (571/840) were considered unsubstantiated diagnoses: 86% (489/571) due to absent PFTs and 14% (82/571) due to PFTs demonstrating no evidence of postbronchodilation obstruction.
A large proportion of individuals referred for LCS may have an unsubstantiated COPD diagnosis within their EMR.
Thus, utilizing the EMR as a population-based eligibility screening tool, employing expanded criteria, may lead to individuals being referred, potentially, inappropriately for LCS.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wilshire, Candice L.& Fuller, Carson C.& Gilbert, Christopher R.& Handy, John R.& Costas, Kimberly E.& Louie, Brian E.…[et al.]. 2020. Electronic Medical Record Inaccuracies: Multicenter Analysis of Challenges with Modified Lung Cancer Screening Criteria. Canadian Respiratory Journal،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1152187
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wilshire, Candice L.…[et al.]. Electronic Medical Record Inaccuracies: Multicenter Analysis of Challenges with Modified Lung Cancer Screening Criteria. Canadian Respiratory Journal No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1152187
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wilshire, Candice L.& Fuller, Carson C.& Gilbert, Christopher R.& Handy, John R.& Costas, Kimberly E.& Louie, Brian E.…[et al.]. Electronic Medical Record Inaccuracies: Multicenter Analysis of Challenges with Modified Lung Cancer Screening Criteria. Canadian Respiratory Journal. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1152187
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1152187
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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