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  Published Paper Details:

  Paper Title

ANALYSIS OF POTENTIAL FOR LEARNING FOR MEDICAL PHYSICIANS FROM BIG DATA RESEARCH IN HEALTHCARE

  Authors

  Shaik Wasim Akram

  Keywords

Potential, medical physicians, big data, healthcare.

  Abstract


Large amounts of patient health data files and sensor data are being generated in today's era of smart phones and wearable devices. In the healthcare industry, big data analytics is crucial to resolving problems and overcoming obstacles. The healthcare industry is experiencing a data explosion that can be managed by using big data. Petabytes of data are generated every day from a wide variety of sources, and if analysed, they could provide actionable insights and solutions for improving patient care. This article aims to address what appears to be a significant problem in the field of continuous medical education and learning by identifying the main dimensions of a model proposal for increasing the potential of big data research in Healthcare for the education of medical doctors (MDs). In order to complete this research, we must first understand the advantages and disadvantages that clinical physicians face when conducting or writing a medical report. Using this research, the difficulty of digital disruption in healthcare big data analysis is assessed. The healthcare industry is crucial, making this research crucial. After all, it's about making sure people are healthy. As new technologies and methods of doing things become widely available, digital disruption becomes an increasingly important factor in today's world.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2210486

  Paper ID - 227027

  Page Number(s) - e195-e204

  Pubished in - Volume 10 | Issue 10 | October 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shaik Wasim Akram,   "ANALYSIS OF POTENTIAL FOR LEARNING FOR MEDICAL PHYSICIANS FROM BIG DATA RESEARCH IN HEALTHCARE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 10, pp.e195-e204, October 2022, Available at :http://www.ijcrt.org/papers/IJCRT2210486.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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