Advancing Practice: Nursing Perspectives in Capsule Endoscopy and New GI Technologies


Authors : Vanaja. R.

Volume/Issue : Volume 10 - 2025, Issue 11 - November


Google Scholar : https://tinyurl.com/5afbfuzj

Scribd : https://tinyurl.com/24wytk65

DOI : https://doi.org/10.38124/ijisrt/25nov452

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Abstract : Capsule endoscopy is a noninvasive diagnostic tool that allows direct visualization of the gastrointestinal (GI) tract using a swallowable, camera-equipped capsule [1]. It has revolutionized the evaluation of small bowel diseases such as obscure gastrointestinal bleeding, Crohn’s disease, celiac disease, and small bowel tumors [4]. With the integration of Artificial Intelligence (AI), the diagnostic process has become faster, more accurate, and less dependent on manual image review. Nurses play a vital role in patient preparation, procedure monitoring, and post-procedure data management. Their training and active participation ensure patient safety, comfort, and efficiency throughout the process. This paper discusses the principles of capsule endoscopy, the integration of AI in diagnostic interpretation, and the evolving responsibilities and competencies required for nurses in this advanced clinical setting.

References :

  1. Beg, S., Card, T., Sidhu, R., & Ragunath, K. (2021). The role of nurses in capsule endoscopy services. *Gastrointestinal Nursing, 19*(5), 36–43. 
  2. Enns, R. A., Hookey, L., Armstrong, D., & Leontiadis, G. I. (2017). Clinical practice guidelines for the use of video capsule endoscopy. *Canadian Journal of Gastroenterology and Hepatology*, 2017, 1–9. 
  3. Iddan, G. J., Meron, G., Glukhovsky, A., & Swain, P. (2000). Wireless capsule endoscopy. *Nature*, 405(6785), 417. 
  4. Klang, E., Barash, Y., Margalit, R. Y., et al. (2020). Deep learning in capsule endoscopy: Automated detection of small bowel mucosal abnormalities. *Gastrointestinal Endoscopy, 91*(3), 606–613. 
  5. Koulaouzidis, A., Douglas, S., & Plevris, J. N. (2015). Capsule endoscopy and the expanding role of nurses. *World Journal of Gastroenterology, 21*(2), 529–540. 
    Liao, Z., Gao, R., Xu, C., & Li, Z. S. (2010). Indications and detection, completion, and retention rates of small-bowel capsule endoscopy: A systematic review. *Gastrointestinal Endoscopy, 71*(2), 280–286. 
  6. Pasha, S. F., Leighton, J. A., Das, A., et al. (2020). Comparison of capsule endoscopy and colonoscopy for small bowel evaluation. *American Journal of Gastroenterology, 115*(4), 623–631. 
  7. Pennazio, M., Rondonotti, E., & de Franchis, R. (2015). Capsule endoscopy in clinical practice: 2005–2015. *Annals of Gastroenterology, 28*(1), 17–25. 
  8. Rondonotti, E., Pennazio, M., & Toth, E. (2018). Small bowel capsule endoscopy: Current status and future directions. *Nature Reviews Gastroenterology & Hepatology, 15*(6), 347–359. 
  9. Tai, F. W. D., Parker, C., Sidhu, R., McAlindon, M., Davison, C., Smith, G. V., & Panter, S. (2022). Training pathway for small bowel capsule endoscopy in the UK. Frontline Gastroenterology, 13(3), 218–223. https://doi.org/10.1136/flgastro-2021-102047
  10. Zou, W. Y., Cao, J., & Hu, X. (2022). Artificial intelligence in capsule endoscopy: A review. *Frontiers in Medicine, 9*, 870126.

Capsule endoscopy is a noninvasive diagnostic tool that allows direct visualization of the gastrointestinal (GI) tract using a swallowable, camera-equipped capsule [1]. It has revolutionized the evaluation of small bowel diseases such as obscure gastrointestinal bleeding, Crohn’s disease, celiac disease, and small bowel tumors [4]. With the integration of Artificial Intelligence (AI), the diagnostic process has become faster, more accurate, and less dependent on manual image review. Nurses play a vital role in patient preparation, procedure monitoring, and post-procedure data management. Their training and active participation ensure patient safety, comfort, and efficiency throughout the process. This paper discusses the principles of capsule endoscopy, the integration of AI in diagnostic interpretation, and the evolving responsibilities and competencies required for nurses in this advanced clinical setting.

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Paper Submission Last Date
30 - November - 2025

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