Home > Medicine > Other > Volume-2 > Issue-4 > Application of Big Data Analytics with Evidence Based Medicine

Application of Big Data Analytics with Evidence Based Medicine

Call for Papers

Volume-8 | Advancing Multidisciplinary Research and Analysis - Exploring Innovations

Last date : 28-Mar-2024

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area


Application of Big Data Analytics with Evidence Based Medicine


Aravind G | Varun K | Manjunath C R | Soumya K N

https://doi.org/10.31142/ijtsrd12979



Aravind G | Varun K | Manjunath C R | Soumya K N "Application of Big Data Analytics with Evidence Based Medicine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4, June 2018, pp.440-444, URL: https://www.ijtsrd.com/papers/ijtsrd12979.pdf

Numerous clinical practices used in certain organizations are said to be of an age old practice whose results are not without side effects. Evidence Based Medicine is the approach that enables an optimum decision making system with the acquisition of the best evidence based of a clinical research. The system improves the quality of healthcare and additionally provides certain standards that every organization can abide. The Indian Health Ministry laying down the standards for EHR (Electronic Health Records) only makes it eminent that data stored will be digitized. With Blockchain technology on the rise, organizations will be sharing patient data more conveniently and securely. Data collected from patients and also from clinical research, especially in India will be immense. As data grows in volume and complexity, the need for analytics arises. Big Data Analytics is the domain which deals with cleansing surmounts of complex data and gaining valuable insights from it using various computational techniques. Implementing big data analytics in an evidence based system will aid the health organization to visualize and find the best course for the patient’s condition from the data provided in the patient’s health record in accordance with the clinical research data.

Evidence Based Medicine; Electronic Health Records; Big Data Analytics; Blockchain


IJTSRD12979
Volume-2 | Issue-4, June 2018
440-444
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin