Skip to main content
Springer Nature Link
Log in

Healthcare 4.0 for the Improvement of the Surgical Monitoring Business Process

  • Conference paper
  • First Online:
Recent Challenges in Intelligent Information and Database Systems (ACIIDS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1863))

Included in the following conference series:

  • 445 Accesses

Abstract

Post surgical care is an important part of the surgical recovery process. It is a major determinant for recovery and an area that has most benefited from the technological advancements. With the introduction of technologies 4.0, the recovery time of patients is shortened significantly. More precisely, this has led to think of improving the performance criteria (time, cost, flexibility and quality) of the post-operative monitoring process. This paper examines the opportunity to adopt Healthcare 4.0 technologies to improve the performance criteria of the post-operative monitoring process through a questionnaire sent to different physicians in CHU Fattouma Bourguiba hospital. Moreover, a tool named BPIGuide is developed to implement our guidance approach which has been constructed on the basis of the IBPM Ontology and also the decision rules extracted from literature.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Kumar, A., Krishnamurthi, R., Nayyar, A., Sharma, K., Grover, V., Hossain, E.: A novel smart healthcare design, simulation, and implementation using healthcare 4.0 processes. IEEE Access 8, 118433–118471 (2020)

    Google Scholar 

  2. Tortorella, G.L., Saurin, T.A., Fogliatto, F.S., Rosa, V.M., Tonetto, L.M., Magrabi, F.: Impacts of healthcare 4.0 digital technologies on the resilience of hospitals. Technol. Forecast. Soc. Change 166, 120666 (2021)

    Google Scholar 

  3. Collins, G.S., Jibawi, A., McCulloch, P.: Control chart methods for monitoring surgical performance: a case study from gastro-oesophageal surgery. Eur. J. Surg. Oncol. (EJSO) 37, 473–480 (2011). https://doi.org/10.1016/j.ejso.2010.10.008

    Article  Google Scholar 

  4. Petros Kolovos, R.N.: Wearable technologies in post-operative recovery: clinical applications and positive impacts. Int. J. Caring Sci. 13, 1474–1479 (2020)

    Google Scholar 

  5. Alhussein, M., Muhammad, G., Hossain, M.S., Amin, S.U.: Cognitive IoT-cloud integration for smart healthcare: case study for epileptic seizure detection and monitoring. Mob. Netw. Appl. 23, 1624–1635 (2018). https://doi.org/10.1007/s11036-018-1113-0

    Article  Google Scholar 

  6. Zhang, Y., Qiu, M., Tsai, C.-W., Hassan, M., Alamri, A.: Health-CPS: healthcare cyber-physical system assisted by cloud and big data. IEEE Syst. J. 11, 1–8 (2015). https://doi.org/10.1109/JSYST.2015.2460747

    Article  Google Scholar 

  7. Chen, M., Yang, J., Hao, Y., Mao, S., Hwang, K.: A 5G cognitive system for healthcare. Big Data Cogn. Comput. 1, 2 (2017). https://doi.org/10.3390/bdcc1010002

    Article  Google Scholar 

  8. Islam, M., Rahaman, A.: Development of smart healthcare monitoring system in IoT environment. SN Comput. Sci. 1, 1–11 (2020)

    Article  Google Scholar 

  9. Holmes, M., Nieto, M.P., Song, H., Tonkin, E., Grant, S., Flach, P.: Modelling patient behaviour using IoT sensor data: a case study to evaluate techniques for modelling domestic behaviour in recovery from total hip replacement surgery. J. Healthc. Inform. Res. 4, 238–260 (2020). https://doi.org/10.1007/s41666-020-00072-6

    Article  Google Scholar 

  10. Damij, N., Damij, T.: Healthcare process improvement using simulation. In: Proceedings of the Third International Conference on Health Informatics, Valencia, Spain: SciTePress - Science and and Technology Publications, pp. 422–427 (2010). https://doi.org/10.5220/0002717504220427

  11. Semple, J.L., Sharpe, S., Murnaghan, M.L., Theodoropoulos, J., Metcalfe, K.A.: Using a mobile app for monitoring post-operative quality of recovery of patients at home: a feasibility study. JMIR Mhealth Uhealth 3, e3929 (2015). https://doi.org/10.2196/mhealth.3929

    Article  Google Scholar 

  12. Gupta, P., Agrawal, D., Chhabra, J., Dhir, P.K.: IoT based smart healthcare kit. In: 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), New Delhi, India, pp. 237–242. IEEE (2016). https://doi.org/10.1109/ICCTICT.2016.7514585

  13. Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Business Process Management. Springer, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-662-56509-4

  14. Eriksson, H.-E., Penker, M.: Business modeling with UML, p. 12. New York (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratory RIADI-GDL, ENSI, Manouba 2010, University of Manouba, Manouba, Tunisia

    Sarra Mejri & Sonia Ayachi Ghannouchi

  2. Higher Institute of Computer Science and Communication Technologies of Hammam Sousse, University of Sousse, Sousse, Tunisia

    Sarra Mejri

  3. Higher Institute of Management of Sousse, University of Sousse, Sousse, Tunisia

    Sonia Ayachi Ghannouchi

  4. Department of Visceral and Digestive Surgery, University of Medicine of Monastir, University of Monastir, Monastir, Tunisia

    Midani Touati

Authors
  1. Sarra Mejri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sonia Ayachi Ghannouchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Midani Touati
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sarra Mejri .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Siridech Boonsang

  3. Iwate Prefectural University, Iwate, Japan

    Hamido Fujita

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogumiła Hnatkowska

  5. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  6. King Mongkut's Institute of Technology, Ladkrabang, Thailand

    Kitsuchart Pasupa

  7. Malaysia Japan International Institute of Technology, Kuala Lumpur, Malaysia

    Ali Selamat

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mejri, S., Ghannouchi, S.A., Touati, M. (2023). Healthcare 4.0 for the Improvement of the Surgical Monitoring Business Process. In: Nguyen, N.T., et al. Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2023. Communications in Computer and Information Science, vol 1863. Springer, Cham. https://doi.org/10.1007/978-3-031-42430-4_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-42430-4_39

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42429-8

  • Online ISBN: 978-3-031-42430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation