Research

Scientific Transactions in Environment and Technovation Journal(STET), 07 May 2018 | 10.20894/STET.116.010.004.006
Year : 2017 | Volume: 10 | Issue: 4 | Pages : 191-197

‘Optha’: A Big Data based web tool for reusable data search in Ophthalmology

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The proposed model of web application is to perform the cluster in the clinical data and clinical trials together in a big data programming model. Optha is a user-friendly Web application designed to manage, share and analyze clinical data from patients affected by degenerative and vascular diseases obtained from the eye care data centers. Clinical record scan also be extracted for statistical purposes and used for clinical decision support systems. Optha is based on an existing data centric technique of multi scale data mining process. The database structure has been specifically built to respect laterality, a key aspect in ophthalmology. Users can add and manage patient records, follow up visits, treatment, diagnoses and clinical history. There are two different modalities to extract records: one for the patient’s own center, in which personal details are shown and the other for statistical purposes, where all center’s anonymized data are visible. The big data web tool allows effective management, sharing and reuse of information within primary care and clinical research. Clear and precise clinical data will improve understanding of real-life management of degenerative and vascular diseases of the macula as well as increasing precise epidemiologic and statistical data.
Furthermore, this Web-based application can be easilyemployed as an electronic clinical research file in clinical studies.

Keywords: EHR, Web based clinical data collection for reuse, multi-level and big data analytics.

Citation: *, ( 2017), ‘Optha’: A Big Data based web tool for reusable data search in Ophthalmology. Scientific Transactions in Environment and Technovation Journal(STET), 10(4): 191-197

Received: 10/04/2017; Accepted: 11/01/2017;
Published: 16/06/2017

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*Correspondence: unknow user, unknow user