Skip to main content

Agile Software Engineering in Medical Environments: Challenges and Opportunities

  • Conference paper
  • First Online:
International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023) (AI2SD 2023)

Abstract

Agile software engineering is an iterative and incremental development methodology that fosters collaboration and adaptability. Its application in healthcare has been successful in creating software applications that cater to providers and patients. Despite the complex nature of healthcare systems and regulatory compliance, researchers have explored Agile's potential benefits and proposed Agile-based methodologies to overcome challenges. In this study, we analyze recent and relevant papers to understand the state of Agile in medical environments. Using a comparative approach, we focus on development methodologies, encountered challenges, and project outcomes. Our comprehensive study identifies relevant papers based on predefined criteria. Extracted data is categorized according to research questions. We examine each paper's Agile approach, implementation tools, and techniques. Furthermore, we analyze specific challenges faced by projects and strategies employed to address them. Evaluating project outcomes includes software quality, project success, and stakeholder impact. The results will offer a holistic view of Agile software engineering in medical environments. We will highlight effective Agile-based methodologies, encountered challenges, and the strategies employed to overcome them. Additionally, the study provides insights into Agile's potential benefits in the medical domain, along with areas requiring further research.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Hazzan, O., Dubinsky, Y.: Agile software engineering. Springer Science & Business Media (2009)

    Google Scholar 

  2. Wu, T.Y., Majeed, A., Kuo, K.N.: An overview of the healthcare system in Taiwan. London J. Primary Care 3(2), 115–119 (2010)

    Article  Google Scholar 

  3. Taner, M.T., Sezen, B., Antony, J.: An overview of six sigma applications in healthcare industry. Int. J. Health Care Qual. Assur. 20(4), 329–340 (2007)

    Article  Google Scholar 

  4. Abrahamsson, P., Salo, O., Ronkainen, J., Warsta, J.: Agile software development methods: Review and analysis (2017). arXiv preprint arXiv:1709.08439

  5. Dwyer, D.B., Gabbett, T.J.: Global positioning system data analysis: Velocity ranges and a new definition of sprinting for field sport athletes. J. Strength Conditioning Res. 26(3), 818–824 (2012)

    Article  Google Scholar 

  6. Sachdeva, S.: Scrum Methodology. Int. J. Eng. Comput. Sci 5(16792), 16792–16800 (2016)

    Google Scholar 

  7. Kirovska, N., Koceski, S.: Usage of Kanban methodology at software development teams. J. Appl. Econ. Business 3(3), 25–34 (2015)

    Google Scholar 

  8. Huberman, A.M., Miles, M.B.: Data management and analysis methods (1994)

    Google Scholar 

  9. Jalali, S., Wohlin, C.: Global software engineering and agile practices: a systematic review. J. Softw. Evol. Process 24(6), 643–659 (2012)

    Article  Google Scholar 

  10. Berry, J.G., Agrawal, R.K., Cohen, E., Kuo, D.Z.: The landscape of medical care for children with medical complexity. Overland Park, KS: Children’s Hospital Association, 7 (2013)

    Google Scholar 

  11. Leppla, L., et al.: Implementation science meets software development to create eHealth components for an integrated care model for allogeneic stem cell transplantation facilitated by eHealth: the SMILe study as an example. J. Nurs. Scholarsh.Nurs. Scholarsh. 53(1), 35–45 (2021)

    Article  Google Scholar 

  12. Navarro-Alamán, J., Lacuesta, R., García-Magariño, I., Gallardo, J., Ibarz, E., Lloret, J.: Close2U: an app for monitoring cancer patients with enriched information from interaction patterns. J. Healthcare Eng. 2020, 1–13 (2020)

    Article  Google Scholar 

  13. Tobias, G., Spanier, A.B.: Developing a mobile app (iGAM) to promote gingival health by professional monitoring of dental selfies: user-centered design approach. JMIR Mhealth UhealthMhealth Uhealth 8(8), e19433 (2020)

    Article  Google Scholar 

  14. Lim, H.M., et al.: An automated patient self-monitoring system to reduce health care system burden during the COVID-19 pandemic in Malaysia: Development and implementation study. JMIR Med. Inform. 9(2), e23427 (2021)

    Article  Google Scholar 

  15. Narasimhadevara, A., Radhakrishnan, T., Leung, B., Jayakumar, R.: On designing a usable interactive system to support transplant nursing. J. Biomed. Inform. 41(1), 137–151 (2008)

    Article  Google Scholar 

  16. Vorisek, C.N., Lehne, M., Klopfenstein, S.A.I., Mayer, P.J., Bartschke, A., Haese, T., Thun, S.: Fast healthcare interoperability resources (FHIR) for interoperability in health research: systematic review. JMIR Med. Inform. 10(7), e35724 (2022)

    Google Scholar 

  17. Reddy, S., Fox, J., Purohit, M.P.: Artificial intelligence-enabled healthcare delivery. J. R. Soc. Med. 112(1), 22–28 (2019)

    Article  Google Scholar 

  18. Hariharakrishnan, J., Bhalaji, N.: Adaptability analysis of 6LoWPAN and RPL for healthcare applications of internet-of-things. J. ISMAC 3(02), 69–81 (2021)

    Article  Google Scholar 

  19. Chukwu, E., Garg, L.: A systematic review of blockchain in healthcare: frameworks, prototypes, and implementations. IEEE Access 8, 21196–21214 (2020)

    Article  Google Scholar 

  20. Kokshagina, O.: Managing shifts to value-based healthcare and value digitalization as a multi-level dynamic capability development process. Technol. Forecast. Soc. Chang. 172, 121072 (2021)

    Article  Google Scholar 

  21. Rhalem, W., et al.: Digital technology und artificial intelligence facing COVID-19. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds.) 3rd Edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. AISC, vol. 1418, pp. 1229–1240. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-90639-9_102

    Chapter  Google Scholar 

  22. Retal, S., Sahbani, H., Kharmoum, N., Rhalem, W., Ezziyani, M.: Machine learning for diabetes prediction: A systematic review and a conceptual framework for early prediction. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds.) 4th Edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2022). AI2SD 2022. LNNS, vol. 713, pp. 75–83. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-35248-5_7

    Chapter  Google Scholar 

  23. Kharmoum, N., et al.: Agile user stories’ driven method: A novel users stories metamodel in the MDA approach. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds.) International Conference on Advanced Intelligent Systems for Sustainable Development. AI2SD 2022. LNNS, vol. 637, pp. 145–154. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-26384-2_13

    Chapter  Google Scholar 

  24. Ennejjai, I., Ariss, A., Kharmoum, N., Rhalem, W., Ziti, S., Ezziyani, M.: Artificial intelligence for fake news. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds.) 4th Edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2022). AI2SD 2022. LNNS, vol. 637, pp 77–91. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-26384-2_8

    Chapter  Google Scholar 

  25. Kharmoum, N., Retal, S., El Bouchti, K., Rhalem, W., Ziti, S.: An automatic alignment of the business process and business value models: a novel MDA method. IJEECS Indonesian J. Electr. Eng. Comput. Sci. 30(1), 501–509 (2023). https://doi.org/10.11591/ijeecs.v30.i1.pp501-509

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fadwa Saoiabi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 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

Saoiabi, F., Kharmoum, N., Elasri, C., Boukhari, M.E., Ziti, S., Rhalem, W. (2024). Agile Software Engineering in Medical Environments: Challenges and Opportunities. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 904. Springer, Cham. https://doi.org/10.1007/978-3-031-52388-5_8

Download citation

Publish with us

Policies and ethics