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Using Big Data in oncology to prospectively impact clinical patient care: A proof of concept study
استفاده از داده های بزرگ در انکولوژی برای تاثیر فزاینده مراقبت های بالینی بیمار: اثبات مفهوم مطالعه-2018 Objective: Big Data is widely seen as a major opportunity for progress in the practice of personalized medicine,
attracting the attention from medical societies and presidential teams alike as it offers a unique opportunity to
enlarge the base of evidence, especially for older patients underrepresented in clinical trials. This study prospec
tively assessed the real-time availability of clinical cases in the Health & Research Informatics Total Cancer Care™
(TCC) database matching community patients with cancer, and the impact of such a consultation on treatment.
Materials and Methods: Patients aged 70 and older seen at the Lynn Cancer Institute (LCI) with a documented ma
lignancy were eligible. Geriatric screening information and the oncologists pre-consultation treatment plan were
sent to Moffitt. A search for similar patients was done in TCC and additional information retrieved from Electronic
Medical Records. A report summarizing the data was sent and the utility of such a consultation was assessed per
email after the treatment decision.
Results: Thirty one patients were included. The geriatric screening was positive in 87.1% (27) of them. The
oncogeriatric consultation took on average 2.2 working days. It influenced treatment in 38.7% (12), and modified
it in 19.4% (6). The consultation was perceived as “somewhat” to “very useful” in 83.9% (26).
Conclusion: This study establishes a proof of concept of the feasibility of real time use of Big Data for clinical practice.
The geriatric screening and the consultation report influenced treatment in 38.7% of cases and modified it in 19.4%,
which compares very well with oncogeriatric literature. Additional steps are needed to render it financially and
clinically viable.
Keywords: Electronic database ، Electronic consultation ، Big Data ، Cancer ، Elderly ، Geriatric oncology ، Personalized medicine ، Precision medicine، Total Cancer Care ، Health & Research Informatics |
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