Clinical big data in healthcare: A survey of medical computers

Research Article
Open access

Clinical big data in healthcare: A survey of medical computers

Mothanna Almahmood 1 , Sayel Abualigah 2 , Omar N. Elayan 3 , Laith Abualigah 4* , Raed Abu Zitar 5 , Anas Ratib Alsoud 6 , Sathishkumar V. E. 7
  • 1 Jordan University of Science and Technology    
  • 2 Jordan University of Science and Technology    
  • 3 Jordan University of Science and Technology    
  • 4 Al al-Bayt University    
  • 5 Sorbonne University-Abu Dhabi    
  • 6 Al-Ahliyya Amman University    
  • 7 Jeonbuk National University    
  • *corresponding author aligah.2020@gmail.com and sathish@jbnu.ac.kr
Published on 31 January 2024 | https://doi.org/10.54254/2755-2721/30/20230063
ACE Vol.30
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-285-5
ISBN (Online): 978-1-83558-286-2

Abstract

Big data is a massive amount of information, measurements, and observations, where it has the power to provide a solution to the impossibilities. Recently, it has become the most trending topic in the field of data analysis because of its amazing potentials in extracting the hidden facts. Which attracted various sectors all over the world to collect and analyze the big data in order to improve their services and introduce high valuable products. Specifically, in the healthcare industry, different sources generate big data such as; hospital records, medical records of patients, and results of medical examinations. This type of data is related to the population healthcare, and it requires analysis in order to extract valuable knowledge. Nowadays, with the available high-end computing solutions for big data analysis. It becomes easy for researchers to have solutions that improve the healthcare level of the population. The promising thinking to give new technologies, high services, and big profits for healthcare, can revolutionize the medical solutions and help the community in overcoming the impossible cases. This research discusses essential clinical big data matters related to the healthcare sector by introducing a clear definition and features of the clinical big data in healthcare and its process. Also, by presenting analytics, applications, benefits, challenges, and future of the clinical big data technologies in the healthcare sector. This survey aims to review state of the art for the application of the clinical big data in the healthcare sector, in which it would be an apparent reference, where authors can refer to in their future research.

Keywords:

big data, clinical big data, healthcare, machine learning; survey

Almahmood,M.;Abualigah,S.;Elayan,O.N.;Abualigah,L.;Zitar,R.A.;Alsoud,A.R.;E.,S.V. (2024). Clinical big data in healthcare: A survey of medical computers. Applied and Computational Engineering,30,18-24.
Export citation

References

[1]. A. De Mauro, M. Greco, and M. Grimaldi, “A formal definition of Big Data based on its essential features,” Libr. Rev., vol. 65, no. 3, pp. 122–135, 2016.

[2]. A. Hameed Shnain, H. Jasim Hadi, S. Hadishaheed, and A. Haji Ahmad, “Big Data and Five V’S Characteristics,” Int. J. Adv. Electron. Comput. Sci., no. 2, pp. 2393–2835, 2015.

[3]. Ishwarappa and J. Anuradha, “A brief introduction on big data 5Vs characteristics and hadoop technology,” Procedia Comput. Sci., vol. 48, no. C, pp. 319–324, 2015.

[4]. R. Pastorino et al., “Benefits and challenges of Big Data in healthcare: An overview of the European initiatives,” Eur. J. Public Health, vol. 29, pp. 23–27, 2019.

[5]. “The big-data revolution in US health care: Accelerating value and innovation | McKinsey.” [Online]. Available: https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/the-big-data-revolution-in-us-health-care. [Accessed: 26-Mar-2020].

[6]. H. B. Erdogus, “The Importance of Medical Imaging and Overview of Using 3D Printer,” no. September, pp. 5–9, 2018.

[7]. R. Turkki et al., “Breast cancer outcome prediction with tumour tissue images and machine learning,” Breast Cancer Res. Treat., vol. 177, no. 1, pp. 41–52, 2019.

[8]. K. Pal, K. Mitra, A. Bit, S. Bhattacharyya, and A. Dey, “Medical Signal Processing in Biomedical and Clinical Applications,” J. Healthc. Eng., vol. 2018, p. 3932471, 2018.

[9]. “Genomics and the role of big data in personalizing the healthcare experience – O’Reilly.” [Online]. Available: https://www.oreilly.com/content/genomics-and-the-role-of-big-data-in-personalizing-the-healthcare-experience/. [Accessed: 26-Mar-2020].

[10]. “Monitoring Coronavirus outbreak using Big Data,” no. February, 2020.

[11]. S. White, “A review of big data in health care: challenges and opportunities,” Open Access Bioinformatics, no. November, p. 13, 2014.

[12]. M. Adibuzzaman, P. DeLaurentis, J. Hill, and B. D. Benneyworth, “Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database,” AMIA ... Annu. Symp. proceedings. AMIA Symp., vol. 2017, pp. 384–392, 2017.

[13]. L. Hong et al., “Big Data in Health Care: What Is So Different About Was ist so anders am Neuroenhancement?” vol. 1, no. 2, pp. 122–135, 2018.

[14]. E. Baro, S. Degoul, R. Beuscart, and E. Chazard, “Toward a literature-driven definition of big data in healthcare,” Biomed Res. Int., vol. 2015, 2015.

[15]. S. SA, “Big Data in Healthcare Management: A Review of Literature,” Am. J. Theor. Appl. Bus., vol. 4, no. 2, p. 57, 2018.

[16]. P. K. D. Pramanik, S. Pal, and M. Mukhopadhyay, “Healthcare Big Data,” no. October, pp. 72–100, 2018.

[17]. M. Chen, S. Mao, Y. Zhang, and V.C. Leung; “Big Data: Related Technologies, Challenges and Future Prospects,” Springer Cham Heidelberg New York Dordrecht London, 2014

[18]. A. Bhadani, and D. Jothimani, “Big Data: Challenges, Opportunities and Realities,” in M.K. Singh, and D.G. Kumar (Eds), Effective Big Data Management and Opportunities for Implementation, Pennsylvania, USA, IGI Global, pp. 01-24, 2016

[19]. P. Kamakshi, “Importance of Big data in Healthcare System,” Int. J. Appl. Eng. Res., vol. 13, no. 15, p. 4, 2018.

[20]. M. Ambigavathi and D. Sridharan, “Big Data Analytics in Healthcare,” 2018 10th Int. Conf. Adv. Comput. ICoAC 2018, vol. 4, no. 1, pp. 269–276, 2018.

[21]. S. Kumar and M. Singh, “Big data analytics for healthcare industry: impact, applications, and tools,” Big Data Min. Anal., vol. 2, no. 1, pp. 48–57, 2018.

[22]. M. A. Alkhatib, A. Talaei-Khoei, and A. H. Ghapanchi, “Analysis of research in healthcare data analytics,” ACIS 2015 Proc. - 26th Australas. Conf. Inf. Syst., pp. 1–16, 2015.

[23]. J. M. Cavanillas, E. Curry, and W. Wahlster, “New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe,” New Horizons a Data-Driven Econ. A Roadmap Usage Exploit. Big Data Eur., pp. 1–303, 2016.

[24]. W. Raghupathi, V. Raghupathi, W. Raghupathi, and V. Raghupathi, “Big data analytics in healthcare: promise and potential to cite this version: HAL Id: hal-01663474 Big data analytics in healthcare: promise and potential,” vol. 2, no. 1, 2017.

[25]. Intel, “White Paper Healthcare: Using Analytics to Improve Healthcare Outcomes.”, 2015.

[26]. C. K. Reddy and C. C. Aggarwal, “Healthcare data analytics,” Healthc. Data Anal., pp. 1–727, 2015.

[27]. L. Elezabeth, V. P. Mishra, and J. Dsouza, “The Role of Big Data Mining in Healthcare Applications,” 2018 7th Int. Conf. Reliab. Infocom Technol. Optim. Trends Futur. Dir. ICRITO 2018, no. August 2018, pp. 256–260, 2018.

[28]. H. Kumar and N. Singh, “Review paper on Big Data in healthcare informatics,” Int. Res. J. Eng. Technol., vol. 4, no. 2, pp. 197–201, 2017.

[29]. A. et al. Heinrich, “Big Data Technologies in Healthcare,” Big Data Technol. Healthc. Needs, Oppor. challenges, p. 31, 2016.

[30]. J. K. Bains, “Big Data Analytics in Healthcare- Its Benefits, Phases, and Challenges,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 6, no. 4, pp. 430–435, 2016.

[31]. Q. K. Fatt and A. Ramadas, “The Usefulness and Challenges of Big Data in Healthcare,” J. Healthc. Commun., vol. 03, no. 02, pp. 1–4, 2018.

[32]. S. Patel and A. Patel, “A Big Data Revolution in Health Care Sector: Opportunities, Challenges and Technological Advancements,” Int. J. Inf. Sci. Tech., vol. 6, no. 1/2, pp. 155–162, 2016.

[33]. V. Carr, R. M., Orange, A., & Khungar, “乳鼠心肌提取 HHS Public Access,” Physiol. Behav., vol. 176, no. 1, pp. 139–148, 2016.

[34]. S. Salas-Vega, A. Haimann, and E. Mossialos, “Big data and health care: Challenges and opportunities for coordinated policy development in the EU,” Heal. Syst. Reform, vol. 1, no. 4, pp. 285–300, 2015.

[35]. A. G. ALEXANDRU, I. M. RADU, and M.-L. BIZON, “Big Data in Healthcare - Opportunities and Challenges,” Inform. Econ., vol. 22, no. 2/2018, pp. 43–54, 2018.

[36]. S. Dash, S. K. Shakyawar, M. Sharma, and S. Kaushik, “Big data in healthcare: management, analysis, and future prospects,” J. Big Data, vol. 6, no. 1, 2019.

[37]. C. Austin and F. Kusumoto, “The application of Big Data in medicine: current implications and future directions,” J. Interv. Card. Electrophysiol., vol. 47, no. 1, pp. 51–59, 2016.

[38]. GE & UCSF, “Big Data, Analytics & Artificial Intelligence the Future of Health Care is Here,” p. 19, 2016.

[39]. P. Muthulakshmi and S. Udhayapriya, “a Survey on Big Data Issues and Challenges,” Int. J. Comput. Sci. Eng., vol. 6, no. 6, pp. 1238–1244, 2018.

[40]. E. Summary, “Big data whitepaper,” 2009.

[41]. A. Pashazadeh and N. J. Navimipour, “Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review,” J. Biomed. Inform., vol. 82, no. November 2017, pp. 47–62, 2018.

[42]. S. Mukherjee and R. Shaw, “Big Data- Concepts, Applications, Challenges, and Future Scope,” Int. J. Adv. Res. Comput. Commun. Eng. Vol., vol. 5, no. 2, pp. 66–74, 2016.

Cite this article

Almahmood,M.;Abualigah,S.;Elayan,O.N.;Abualigah,L.;Zitar,R.A.;Alsoud,A.R.;E.,S.V. (2024). Clinical big data in healthcare: A survey of medical computers. Applied and Computational Engineering,30,18-24.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-285-5(Print) / 978-1-83558-286-2(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.30
ISSN：2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

References

[1]. A. De Mauro, M. Greco, and M. Grimaldi, “A formal definition of Big Data based on its essential features,” Libr. Rev., vol. 65, no. 3, pp. 122–135, 2016.

[2]. A. Hameed Shnain, H. Jasim Hadi, S. Hadishaheed, and A. Haji Ahmad, “Big Data and Five V’S Characteristics,” Int. J. Adv. Electron. Comput. Sci., no. 2, pp. 2393–2835, 2015.

[3]. Ishwarappa and J. Anuradha, “A brief introduction on big data 5Vs characteristics and hadoop technology,” Procedia Comput. Sci., vol. 48, no. C, pp. 319–324, 2015.

[4]. R. Pastorino et al., “Benefits and challenges of Big Data in healthcare: An overview of the European initiatives,” Eur. J. Public Health, vol. 29, pp. 23–27, 2019.

[5]. “The big-data revolution in US health care: Accelerating value and innovation | McKinsey.” [Online]. Available: https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/the-big-data-revolution-in-us-health-care. [Accessed: 26-Mar-2020].

[6]. H. B. Erdogus, “The Importance of Medical Imaging and Overview of Using 3D Printer,” no. September, pp. 5–9, 2018.

[7]. R. Turkki et al., “Breast cancer outcome prediction with tumour tissue images and machine learning,” Breast Cancer Res. Treat., vol. 177, no. 1, pp. 41–52, 2019.

[8]. K. Pal, K. Mitra, A. Bit, S. Bhattacharyya, and A. Dey, “Medical Signal Processing in Biomedical and Clinical Applications,” J. Healthc. Eng., vol. 2018, p. 3932471, 2018.

[9]. “Genomics and the role of big data in personalizing the healthcare experience – O’Reilly.” [Online]. Available: https://www.oreilly.com/content/genomics-and-the-role-of-big-data-in-personalizing-the-healthcare-experience/. [Accessed: 26-Mar-2020].

[10]. “Monitoring Coronavirus outbreak using Big Data,” no. February, 2020.

[11]. S. White, “A review of big data in health care: challenges and opportunities,” Open Access Bioinformatics, no. November, p. 13, 2014.

[12]. M. Adibuzzaman, P. DeLaurentis, J. Hill, and B. D. Benneyworth, “Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database,” AMIA ... Annu. Symp. proceedings. AMIA Symp., vol. 2017, pp. 384–392, 2017.

[13]. L. Hong et al., “Big Data in Health Care: What Is So Different About Was ist so anders am Neuroenhancement?” vol. 1, no. 2, pp. 122–135, 2018.

[14]. E. Baro, S. Degoul, R. Beuscart, and E. Chazard, “Toward a literature-driven definition of big data in healthcare,” Biomed Res. Int., vol. 2015, 2015.

[15]. S. SA, “Big Data in Healthcare Management: A Review of Literature,” Am. J. Theor. Appl. Bus., vol. 4, no. 2, p. 57, 2018.

[16]. P. K. D. Pramanik, S. Pal, and M. Mukhopadhyay, “Healthcare Big Data,” no. October, pp. 72–100, 2018.

[17]. M. Chen, S. Mao, Y. Zhang, and V.C. Leung; “Big Data: Related Technologies, Challenges and Future Prospects,” Springer Cham Heidelberg New York Dordrecht London, 2014

[18]. A. Bhadani, and D. Jothimani, “Big Data: Challenges, Opportunities and Realities,” in M.K. Singh, and D.G. Kumar (Eds), Effective Big Data Management and Opportunities for Implementation, Pennsylvania, USA, IGI Global, pp. 01-24, 2016

[19]. P. Kamakshi, “Importance of Big data in Healthcare System,” Int. J. Appl. Eng. Res., vol. 13, no. 15, p. 4, 2018.

[20]. M. Ambigavathi and D. Sridharan, “Big Data Analytics in Healthcare,” 2018 10th Int. Conf. Adv. Comput. ICoAC 2018, vol. 4, no. 1, pp. 269–276, 2018.

[21]. S. Kumar and M. Singh, “Big data analytics for healthcare industry: impact, applications, and tools,” Big Data Min. Anal., vol. 2, no. 1, pp. 48–57, 2018.

[22]. M. A. Alkhatib, A. Talaei-Khoei, and A. H. Ghapanchi, “Analysis of research in healthcare data analytics,” ACIS 2015 Proc. - 26th Australas. Conf. Inf. Syst., pp. 1–16, 2015.

[23]. J. M. Cavanillas, E. Curry, and W. Wahlster, “New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe,” New Horizons a Data-Driven Econ. A Roadmap Usage Exploit. Big Data Eur., pp. 1–303, 2016.

[24]. W. Raghupathi, V. Raghupathi, W. Raghupathi, and V. Raghupathi, “Big data analytics in healthcare: promise and potential to cite this version: HAL Id: hal-01663474 Big data analytics in healthcare: promise and potential,” vol. 2, no. 1, 2017.

[25]. Intel, “White Paper Healthcare: Using Analytics to Improve Healthcare Outcomes.”, 2015.

[26]. C. K. Reddy and C. C. Aggarwal, “Healthcare data analytics,” Healthc. Data Anal., pp. 1–727, 2015.

[27]. L. Elezabeth, V. P. Mishra, and J. Dsouza, “The Role of Big Data Mining in Healthcare Applications,” 2018 7th Int. Conf. Reliab. Infocom Technol. Optim. Trends Futur. Dir. ICRITO 2018, no. August 2018, pp. 256–260, 2018.

[28]. H. Kumar and N. Singh, “Review paper on Big Data in healthcare informatics,” Int. Res. J. Eng. Technol., vol. 4, no. 2, pp. 197–201, 2017.

[29]. A. et al. Heinrich, “Big Data Technologies in Healthcare,” Big Data Technol. Healthc. Needs, Oppor. challenges, p. 31, 2016.

[30]. J. K. Bains, “Big Data Analytics in Healthcare- Its Benefits, Phases, and Challenges,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 6, no. 4, pp. 430–435, 2016.

[31]. Q. K. Fatt and A. Ramadas, “The Usefulness and Challenges of Big Data in Healthcare,” J. Healthc. Commun., vol. 03, no. 02, pp. 1–4, 2018.

[32]. S. Patel and A. Patel, “A Big Data Revolution in Health Care Sector: Opportunities, Challenges and Technological Advancements,” Int. J. Inf. Sci. Tech., vol. 6, no. 1/2, pp. 155–162, 2016.

[33]. V. Carr, R. M., Orange, A., & Khungar, “乳鼠心肌提取 HHS Public Access,” Physiol. Behav., vol. 176, no. 1, pp. 139–148, 2016.

[34]. S. Salas-Vega, A. Haimann, and E. Mossialos, “Big data and health care: Challenges and opportunities for coordinated policy development in the EU,” Heal. Syst. Reform, vol. 1, no. 4, pp. 285–300, 2015.

[35]. A. G. ALEXANDRU, I. M. RADU, and M.-L. BIZON, “Big Data in Healthcare - Opportunities and Challenges,” Inform. Econ., vol. 22, no. 2/2018, pp. 43–54, 2018.

[36]. S. Dash, S. K. Shakyawar, M. Sharma, and S. Kaushik, “Big data in healthcare: management, analysis, and future prospects,” J. Big Data, vol. 6, no. 1, 2019.

[37]. C. Austin and F. Kusumoto, “The application of Big Data in medicine: current implications and future directions,” J. Interv. Card. Electrophysiol., vol. 47, no. 1, pp. 51–59, 2016.

[38]. GE & UCSF, “Big Data, Analytics & Artificial Intelligence the Future of Health Care is Here,” p. 19, 2016.

[39]. P. Muthulakshmi and S. Udhayapriya, “a Survey on Big Data Issues and Challenges,” Int. J. Comput. Sci. Eng., vol. 6, no. 6, pp. 1238–1244, 2018.

[40]. E. Summary, “Big data whitepaper,” 2009.

[41]. A. Pashazadeh and N. J. Navimipour, “Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review,” J. Biomed. Inform., vol. 82, no. November 2017, pp. 47–62, 2018.

[42]. S. Mukherjee and R. Shaw, “Big Data- Concepts, Applications, Challenges, and Future Scope,” Int. J. Adv. Res. Comput. Commun. Eng. Vol., vol. 5, no. 2, pp. 66–74, 2016.

For authors
Guide for authors Policies for authors Aims and scope Subscription Open access policy
For editors
Policies for editors Editorial board
For reviewers
Policies for reviewers Privacy policy

Cookies are used by this site.
Copyright © 2024 EWA Publishing, its licensors, and contributors. All rights reserved, including text and data mining, AI training, and similar technologies.