Transformasi Perawatan Kaki Diabetik: Integrasi Teknologi Digital dan Artificial Intelligence untuk Masa Depan Keperawatan

Transformation of Diabetic Foot Care: Integration of Digital Technology and Artificial Intelligence for the Future of Nursing

https://doi.org/10.53579/jitkt.v5i2.301

Authors

  • Rima Novia Putri Jurusan Keperawatan, Poltekkes Kemenkes Tanjungpinang
  • Rian Yuliyana Jurusan Keperawatan, Poltekkes Kemenkes Tanjungpinang

Keywords:

Artificial Intelligence, Diabetic Foot, Digital Health, Health transformation in Nursing

Abstract

The use of digital technology and artificial intelligence (AI) is accelerating the transformation of diabetic foot care. This presents significant opportunities in areas such as early detection, remote care monitoring, and more accurate clinical decision-making. Various innovations such as mobile applications, telehealth, machine learning algorithms, and wearable devices have shown potential in improving the quality of care, accelerating healing, and reducing the rate of complications and amputations. However, the implementation of these technologies poses various challenges, such as the availability of clinical validation, data security and privacy issues, the readiness and competence of healthcare workers, and the disparity in digital access across regions. This editorial discusses the opportunities, challenges, and impacts on healthcare, research, and policy from the integration of digital technology and AI in diabetic foot care. The editorial emphasizes the need for interdisciplinary collaboration, strong regulations, digital literacy competencies, and ongoing research to ensure the safe, effective, and inclusive adoption of digital technology and AI in nursing practice. The integration of digital technology and AI have significant potential to optimize the quality of diabetic foot care and improve outcomes for diabetes patients in the future.

Downloads

Download data is not yet available.

References

1. Perez JS, Hudson H, Araneta J, Bedell B, Aikins A de G, Dugas LR, et al. Colliding crises: The global diabetes pandemic meets climate change—A scoping review. Vol. 22, Journal of Climate Change and Health. Elsevier Masson s.r.l.; 2025.

2. Novia Putri R, Deliana M, Pusparianda D, Studi PD, Kemenkes Tanjungpinang P. Kadar Glukosa Darah, Diet dan Terapi Antihiperglikemia Pada Pasien Diabetes Melitus dengan Ulkus Diabetikum yang di Rawat Rumah Sakit Blood Glucose Level, Diet and Antihyperglycemic Therapy in Patient with Diabetes and Diabetic Ulcers in Hospital. JITKT;

3. Dias de Oliveira TC, de Oliveira AF, Araújo L de C, Moreira de Sena MP, Fagundes V de C, Rabelo Paixão PA, et al. Digital Health Technologies for Diabetic Foot Ulcers: A Systematic Review of Clinical Evidence, Access Inequities, and Public Health Integration. Vol. 22, International Journal of Environmental Research and Public Health. Multidisciplinary Digital Publishing Institute (MDPI); 2025.

4. Zhang P, Lu J, Jing Y, Tang S, Zhu D, Bi Y. Global epidemiology of diabetic foot ulceration: a systematic review and meta-analysis†. Vol. 49, Annals of Medicine. Taylor and Francis Ltd; 2017. p. 106–16.

5. Edmonds M, Manu C, Vas P. The current burden of diabetic foot disease. J Clin Orthop Trauma. 2021 Jun 1;17:88–93.

6. Berti Anggraini R, Nurvinanda R. FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN TERJADINYA ULKUS DIABETIKUM PADA PENDERITA DIABETES MELITUS [Internet]. Available from: http://jurnal.globalhealthsciencegroup.com/index.php/IJNHS

7. Silva MA, Hamilton EJ, Russell DA, Game F, Wang SC, Baptista S, et al. Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review. Vol. 27, Journal of Medical Internet Research. JMIR Publications Inc.; 2025.

8. Rodriguez-León C, Villalonga C, Munoz-Torres M, Ruiz JR, Banos O. Mobile and wearable technology for the monitoring of diabetes-related parameters: Systematic review. Vol. 9, JMIR mHealth and uHealth. JMIR Publications Inc.; 2021.

9. Wu F, Qi Z, Pan B, Tao R. Extracorporeal shock wave therapy (ESWT) favors healing of diabetic foot ulcers: A systematic review and meta-analysis. Diabetes Res Clin Pract. 2024 Nov;217:111843.

10. Hajizadeh M, Matijevich E, Bray E, Minty E, Liden B. Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study. JMIR Mhealth Uhealth. 2025 Sep 12;13:e73187.

11. Zhuang H ren, Yu HP, Gu YJ, Li LJ, Yao J li. The Effect of Telemedicine Interventions on Patients with Diabetic Foot Ulcers: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Adv Wound Care (New Rochelle). 2025 Mar 1;14(3):133–42.

12. Griffa D, Natale A, Merli Y, Starace M, Curti N, Mussi M, et al. Artificial Intelligence in Wound Care: A Narrative Review of the Currently Available Mobile Apps for Automatic Ulcer Segmentation. Vol. 4, BioMedInformatics. Multidisciplinary Digital Publishing Institute (MDPI); 2024. p. 2321–37.

13. Guan H, Wang Y, Niu P, Zhang Y, Zhang Y, Miao R, et al. The role of machine learning in advancing diabetic foot: a review. Vol. 15, Frontiers in Endocrinology. Frontiers Media SA; 2024.

14. Hedderich, Dennis M., Keicher, Matthias, Wiestler, Benedikt, Gruber, Martin J., Burwinkel, Hendrik, Hinterwimmer, Florian, Czempiel, Tobias, Spiro, Judith E.,Pinto Dos Santos, Daniel, & Heim, Dominik. (2021). Ai For Doctors—A Course To Educate Medical Professionals In Artificial Intelligence For Medical Imaging. Healthcare, 9(10), 1278. Mdpi. https://pubmed.ncbi.nlm.nih.gov/34682958/

Published

2025-10-30

How to Cite

Novia Putri, R., & Yuliyana, R. (2025). Transformasi Perawatan Kaki Diabetik: Integrasi Teknologi Digital dan Artificial Intelligence untuk Masa Depan Keperawatan: Transformation of Diabetic Foot Care: Integration of Digital Technology and Artificial Intelligence for the Future of Nursing. JURNAL ILMU DAN TEKNOLOGI KESEHATAN TERPADU, 5(2), 53–57. https://doi.org/10.53579/jitkt.v5i2.301

Similar Articles

<< < 1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.