1 / 16

BIG DATA ANALYTICS FOR HEALTHCARE

BIG DATA ANALYTICS FOR HEALTHCARE. Presented By Mayuri Ambure Guided By Prof. B. A. Khivasara. Agenda:. Introduction to Big data Health informatics Architectural framework Impact of big data Advantage Limitations and Challenges Conclusion References. Introduction to Big data.

brazila
Download Presentation

BIG DATA ANALYTICS FOR HEALTHCARE

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. BIG DATA ANALYTICS FOR HEALTHCARE Presented By Mayuri Ambure Guided By Prof. B. A. Khivasara

  2. Agenda: • Introduction to Big data • Health informatics • Architectural framework • Impact of big data • Advantage • Limitations and Challenges • Conclusion • References

  3. Introduction to Big data • Big Data is collection of large and complex data sets which are difficult to process using common database management tools or traditional data processing applications • “Big data refers to the tools, processes and procedures allowing an organization to create, manipulate, and manage very large data sets and storage facilities” Big data has three main dimensions which are as follows: • Volume • Velocity • Variety

  4. 3VS of Big data

  5. Health Informatics • Electronic Health Records (EHRs) • Social Health • Mobile Health

  6. Big data analytics in Electronic Health Records (EHRs)

  7. Big data analytics in social media

  8. Big data analytics in Mobile Health

  9. Architectural Framework

  10. IMPACT OF BIG DATA ON THE HEALTHCARE • Right living • Right care • Right provider • Right value • Right Innovation

  11. Advantage • Benefits to Patients • Benefits to Researchers and Developers • Benefits to healthcare Providers • detecting diseases at earlier stages • detecting healthcare abuse • fraud faster • reducing costs

  12. Limitations and Challenges

  13. Conclusion • Big data, including predictive analytics tools, have the potential to change healthcare system from reporting to predicting results at earlier stages.

  14. References • http://www.ijrets.com/wp content/uploads/2016/12/16031408318.pdf • http://link.springer.com/article/10.1186/2047-2501-2-3 • http://transformhealth-it.org/blog/?p=1013 • http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7154395

  15. Any Questions?????

  16. THANK YOU !!!

More Related