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Journal of Cognitive Human-Computer Interaction
Volume 8 , Issue 1, PP: 08-13 , 2024 | Cite this article as | XML | Html |PDF

Title

Big Data Analytics in Healthcare: Transforming Patient Care, Operational Efficiency, and Stroke Management

  Palagati Anusha 1 * ,   Yanda Sailaja 2

1  Department of CSE, Guru Nanak Institute of Technology, Hyderabad, India.
    (palagatianushareddy@gmail.com)

2  Department of CSE, Guru Nanak Institute of Technology, Hyderabad, India.
    (yandasailaja.csegnit@gniindia.org)


Doi   :   https://doi.org/10.54216/JCHCI.080101

Received: October 12, 2023 Revised: January 19, 2024 Accepted: April 12, 2024

Abstract :

A significant amount of sensor data and patient health data files are being created in the current era of smart phones and wearable technology. Big data analytics is crucial to resolving problems and obstacles in the healthcare industry. The healthcare industry generates enormous amounts of data that big data can handle. Every day, a variety of devices generate petabytes of data, which, when examined, can provide insightful and practical data-driven solutions for patient care. This paper provides an overview of the various healthcare applications of big data analytics, along with an analysis of the associated problems and potential tools and technologies for healthcare clouds. Big data has the power to transform the healthcare sector and enhance clinical trial monitoring quality and operational efficiency.

Keywords :

Big Data Analytics , Healthcare , Stroke Data Dashboard , Challenges , applications

References :

[1]    Shankar Krishnan Ph.D. Biomedical Engineering, Wentworth Institute of Technology, 550 Huntington Avenue, Boston, “Application of Analytics to Big Data in Healthcare”, 32nd Southern Biomedical Engineering Conference - 2016

[2]    Sachin S. Kamble, Angappa Gunasekaran, Milind Goswami & Jaswant Manda, “A systematic perspective on the applications of big data analytics in healthcare management”, International Journal of Healthcare Management – 2018

[3]    Gande Akhila,Hemachandran K,Juan R Jaramillo. "Indian Premier League Using Different Aspects of Machine Learning Algorithms." Journal of Cognitive Human-Computer Interaction, Vol. 1, No. 1, 2021 ,PP. 01-07.

[4]    Sayantan Khanra, Amandeep Dhir, A.K.M Najmul Islam & Matti Mantymaki, “Big data analytics in healthcare: a systematic literature review” - 2020

[5]    A.Rishika Reddy, P. Suresh Kumar, “Predictive Big Data Analytics in Healthcare”, Second International Conference on Computational Intelligence & Communication Technology - 2016

[6]    Raghunath Nambiar, Ruchie Bhardwaj, Adhiraaj Sethi, Rajesh Vargheese, “A Look at Challenges and Opportunities of Big Data Analytics in Healthcare”, IEEE International Conference on Big Data- 2013

[7]    Nishita Mehta, Anil Pandit, “Concurrence of big data analytics and healthcare: A systematic review”, International Journal of Medical Informatics - 2018

[8]    Wullianallur Raghupathi, Viju Raghupathi, “Big data analytics in healthcare: promise and Potential”, Raghupati and Raghupati Health Information Science and Systems - 2014

[9]    Ashwin Belle, Raghuram Thiagarajan, S. M. Reza Soroushmehr, Fatemeh Navidi, Daniel A. Beard, and Kayvan Najarian, “Big Data Analytics in Healthcare”, Hindawi Publishing Corporation BioMed Research International Volume – 2015.

[10] https://www.datapine.com/blog/big-data-examples-in-healthcare/

[11] Lidong Wang, Cheryl Ann Alexander, “Big Data Analytics in Healthcare Systems”, International Journal of Mathematical, Engineering and Management Sciences, Feb 1, 2019.

[12] Anil Pandit, Nishita Mehta, Meenal Kulkar, “Elements of Healthcare Big Data Analytics”, Symbiosis International University, October 2, 2019.

[13] GUNASEKAR THANGARASU, K. R. V. Subramanian, “Big Data Analytics in Healthcare Services”, Science Proceedings Series, Kolej Universiti Linton, Universiti Teknologi Petronas, Apr 24, 2019.

[14] K. R. V. Subramanian , Gunasekar Thangarasu,” Big Data Analytics for Improved Care Delivery in the Healthcare Industry”, International Journal of Online and Biomedical Engineering (iJOE), Petronas (Malaysia), Kolej Universiti Linton, Jun 27, 2019.

[15] Ashok Kumar M ,Abirami A,Sindhu P,Ashok Kumar V D ,Rani V. "Modern Medical Innovation on the Preferred Information about the Medicine using AI Technique." Journal of Cognitive Human-Computer Interaction, Vol. 1, No. 1, 2021 ,PP. 8-17.

[16] Fernando Rogelio Simonato, Federico Del Giorgio Solfa,“Big Data Analytics in Healthcare: Exploring the Role of Machine Learning in Predicting Patient Outcomes and Improving Healthcare Delivery”, International Journal of Computations, Information and Manufacturing (IJCIM), Jun 23, 2023.

[17] Brenda Eschenbrenner, Rachel Brenden  “Deriving Value from Big Data Analytics in Healthcare: A Value-focused Thinking Approach”, AIS Transactions on Human-Computer Interaction, Sep 30, 2022.

[18] Cheryl Ann Alexander, Lidong Wang , “Big Data Analytics in Biometrics and Healthcare”, Journal of Computer Sciences and Applications, Jun 4, 2018.

[19] Ajit Kumar Roy, “Advances and Scope in Big Data Analytics in Healthcare”, Current Trends in Biomedical Engineering & Biosciences, Sep 22, 2017.

[20] D. Sridharan, M. Ambigavathi, “Big Data Analytics in Healthcare”, Anna University, Chennai, Dec 1, 2018

[21] Shreyas Nopany , Prof. Manonmani S, “Applications of Big Data Analytics in Healthcare Management Systems”, Journal of University of Shanghai for Science and Technology, Jun 19, 2021.


Cite this Article as :
Style #
MLA Palagati Anusha, Yanda Sailaja. "Big Data Analytics in Healthcare: Transforming Patient Care, Operational Efficiency, and Stroke Management." Full Length Article, Vol. 8, No. 1, 2024 ,PP. 08-13 (Doi   :  https://doi.org/10.54216/JCHCI.080101)
APA Palagati Anusha, Yanda Sailaja. (2024). Big Data Analytics in Healthcare: Transforming Patient Care, Operational Efficiency, and Stroke Management. Journal of Full Length Article, 8 ( 1 ), 08-13 (Doi   :  https://doi.org/10.54216/JCHCI.080101)
Chicago Palagati Anusha, Yanda Sailaja. "Big Data Analytics in Healthcare: Transforming Patient Care, Operational Efficiency, and Stroke Management." Journal of Full Length Article, 8 no. 1 (2024): 08-13 (Doi   :  https://doi.org/10.54216/JCHCI.080101)
Harvard Palagati Anusha, Yanda Sailaja. (2024). Big Data Analytics in Healthcare: Transforming Patient Care, Operational Efficiency, and Stroke Management. Journal of Full Length Article, 8 ( 1 ), 08-13 (Doi   :  https://doi.org/10.54216/JCHCI.080101)
Vancouver Palagati Anusha, Yanda Sailaja. Big Data Analytics in Healthcare: Transforming Patient Care, Operational Efficiency, and Stroke Management. Journal of Full Length Article, (2024); 8 ( 1 ): 08-13 (Doi   :  https://doi.org/10.54216/JCHCI.080101)
IEEE Palagati Anusha, Yanda Sailaja, Big Data Analytics in Healthcare: Transforming Patient Care, Operational Efficiency, and Stroke Management, Journal of Full Length Article, Vol. 8 , No. 1 , (2024) : 08-13 (Doi   :  https://doi.org/10.54216/JCHCI.080101)