Skip to main content
SpringerLink
Log in
Book cover

International Conference on Computational Science and Its Applications

ICCSA 2020: Computational Science and Its Applications – ICCSA 2020 pp 246–260Cite as

Risk Management Framework to Improve Associated Risk of Information Exchange Between Users of Health Information Systems in Resource-Constrained Hospitals

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12254))

Abstract

Information exchange, privacy and security in the healthcare sector is a problem of greater significance. Healthcare Information frameworks capture, store, handle and transmit information identified with the health of the patient. However, risk management in a hospital is complex, as it includes assessing, identifying and averting risks in essentially each area of the healthcare system. In this paper, Octave Allegro based Deep Learning algorithm for a risk management framework to improve the associated risk of information exchange between users of health information systems in resource-constrained hospitals has been proposed. The experimental results show that the proposed algorithm OADLA has potential benefits for patients, organizations, health care providers, and the public during secure information exchange. The proposed Octave Allegro based Deep Learning algorithm which has higher performance when compared with existing Fuzzy based Healthcare Risk Management (FHRM).

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Thibaud, M., Chi, H., Zhou, W., Piramuthu, S.: Internet of Things (IoT) in high-risk Environment, Health, and Safety (EHS) industries: a comprehensive review. Decis. Support Syst. 108, 79–95 (2018)

    Article  Google Scholar 

  2. Thota, C., Sundarasekar, R., Manogaran, G., Varatharajan, R., Priyan, M.K.: Centralized fog computing security platform for IoT and cloud in the healthcare system. In: Fog Computing: Breakthroughs in Research and Practice, pp. 365–378. IGI Global, Hershey (2018)

    Google Scholar 

  3. Zhang, X., Liu, S., Chen, X., Wang, L., Gao, B., Zhu, Q.: Health information privacy concerns, antecedents, and information disclosure intention in online health communities. Inf. Manag. 55(4), 482–493 (2018)

    Article  Google Scholar 

  4. Aloini, D., Cannavacciuolo, L., Gitto, S., Lettieri, E., Malighetti, P., Visintin, F.: Evidence-based management for performance improvement in healthcare. Manag. Decis. 56(10), 2063–2068 (2018)

    Article  Google Scholar 

  5. Kalid, N., Zaidan, A.A., Zaidan, B.B., Salman, O.H., Hashim, M., Muzammil, H.: Based on real-time remote health monitoring systems: a review on patients prioritization and related “big data” using body sensors information and communication technology. J. Med. Syst. 42(2), 30 (2018). https://doi.org/10.1007/s10916-017-0883-4

    Article  Google Scholar 

  6. Schnitter, R., et al.: An assessment of climate change and health vulnerability and adaptation in Dominica. Int. J. Environ. Res. Public Health 16(1), 70 (2019)

    Article  Google Scholar 

  7. Hignett, S., et al.: More holes than cheese. What prevents the delivery of effective, high quality and safe health care in England? Ergonomics 61(1), 5–14 (2018)

    Article  Google Scholar 

  8. Cresswell, K.M., Mozaffar, H., Lee, L., Williams, R., Sheikh, A.: Safety risks associated with the lack of integration and interfacing of hospital health information technologies: a qualitative study of hospital electronic prescribing systems in England. BMJ Qual. Saf. 26(7), 530–541 (2017)

    Article  Google Scholar 

  9. Sittig, D.F., Singh, H.: A new socio-technical model for studying health information technology in complex adaptive healthcare systems. In: Patel, V.L., Kannampallil, T.G., Kaufman, D.R. (eds.) Cognitive Informatics for Biomedicine. HI, pp. 59–80. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-17272-9_4

    Chapter  Google Scholar 

  10. Stenberg, K., et al.: Financing transformative health systems towards the achievement of the health sustainable development goals: a model for projected resource needs in 67 low-income and middle-income countries. Lancet Global Health 5(9), e875–e887 (2017)

    Article  Google Scholar 

  11. Liu, S., Wang, L.: Influence of managerial control on performance in medical information system projects: the moderating role of the organizational environment and team risks. Int. J. Project Manage. 34(1), 102–116 (2016)

    Article  Google Scholar 

  12. Mao, H., Liu, S., Zhang, J., Deng, Z.: Information technology resource, knowledge management capability, and competitive advantage: the moderating role of resource commitment. Int. J. Inf. Manage. 36(6), 1062–1074 (2016)

    Article  Google Scholar 

  13. Madon, S., Krishna, S.: The Digital Challenge: Information Technology in the Development Context. Routledge, New York (2018)

    Book  Google Scholar 

  14. Funk, E., Riddell, J., Ankel, F., Cabrera, D.: Blockchain technology: a data framework to improve validity, trust, and accountability of information exchange in health professions education. Acad. Med. 93(12), 1791–1794 (2018)

    Article  Google Scholar 

  15. Heeks, R.: Health information systems: failure, success, and improvisation. Int. J. Med. Informatics 75(2), 125–137 (2006)

    Article  Google Scholar 

  16. Runciman, W.B., Williamson, J.A.H., Deakin, A., Benveniste, K.A., Bannon, K., Hibbert, P.D.: An integrated framework for safety, quality and risk management: an information and incident management system based on a universal patient safety classification. BMJ Qual. Saf. 15(suppl 1), i82–i90 (2006)

    Article  Google Scholar 

  17. Abomhara, M., Køien, G.M., Oleshchuk, V.A., Hamid, M.: Towards risk-aware access control framework for healthcare information sharing. In: ICISSP, pp. 312–321 (2018)

    Google Scholar 

  18. Sicotte, C., Paré, G., Moreault, M.P., Paccioni, A.: A risk assessment of two inter-organizational clinical information systems. J. Am. Med. Inform. Assoc. 13(5), 557–566 (2006)

    Article  Google Scholar 

  19. Zhang, L., Ahn, G.J., Chu, B.T.: A role-based delegation framework for healthcare information systems. In: Proceedings of the Seventh ACM Symposium on Access Control Models and Technologies, pp. 125–134. ACM, June 2002

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computing, Botho University, Gaborone, Botswana

    Amarendar Rao Thangeda

  2. Department of Computer Science, University of South Africa, Pretoria, South Africa

    Alfred Coleman

Authors
  1. Amarendar Rao Thangeda
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alfred Coleman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Amarendar Rao Thangeda .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Thangeda, A.R., Coleman, A. (2020). Risk Management Framework to Improve Associated Risk of Information Exchange Between Users of Health Information Systems in Resource-Constrained Hospitals. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-58817-5_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58816-8

  • Online ISBN: 978-3-030-58817-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation