Global Journal of Engineering and Technology Research (GJETR) · Research article · Open access
Application of Artificial Intelligence in Medical Diagnosis and Patient Monitoring at Gitwe Hospital, Ruhango District, Southern Province
Philippe Hakizimana, Aime Fidele Ndayiragije Mvuyekure, Evariste Rukundo
12 May 2026 · Vol. 2, Issue 5, pp. 136-139
DOI: 10.65150/EP-gjetr/V2E5/2026-02
Download full text (PDF)Cite this article
What is this article about?
Artificial Intelligence (AI) has become a transformative technology in healthcare worldwide, offering tools to improve medical diagnosis and patient monitoring. In the context of the of Gitwe Hospital , integrating AI can enhance the accuracy of diagnoses, reduce human errors, and provide continuous monitoring of patients, leading to better health outcomes, and efficient hospital activities.
Article at a glance
- Published
- 12 May 2026
- Volume / issue / pages
- Vol. 2, Issue 5, pp. 136-139
- ISSN
- 3051-3782 (online) · 3051-3774 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
Artificial Intelligence (AI) has become a transformative technology in healthcare worldwide, offering tools to improve medical diagnosis and patient monitoring. In the context of the of Gitwe Hospital , integrating AI can enhance the accuracy of diagnoses, reduce human errors, and provide continuous monitoring of patients, leading to better health outcomes, and efficient hospital activities. In this study the researcher used quantitative and qualitative descriptive research approach. Data were collected from patient records, diagnostic reports, and monitoring logs at Gitwe Hospital. Gitwe Hospital AI tools, including machine learning algorithms and predictive models were applied to analyze patterns in patients’ data. The methodology involved in our research was evaluating AI-assisted diagnostic tools against conventional methods and assessing their impact on treatment, and procedures used in Gitwe Hospital patients’ monitoring efficiency. The implementation of AI in medical diagnosis improved the accuracy and speed of identifying diseases, particularly chronic conditions and early-stage infections. Patients’ monitoring systems using AI enabled real-time tracking of vital signs, alerting medical staff to critical changes promptly. The study showed that AI integration reduced diagnostic errors by approximately 15% and improved patient response time in emergencies by 20%. The application of AI in medical diagnosis and patient monitoring at the Hospital of Gitwe demonstrated significant potential to enhance healthcare delivery. AI improved diagnostic accuracy, enabled proactive patient care, and supports clinical decision-making. Future integration of AI technologies can further optimize hospital management and patient outcomes, making the healthcare systems more responsive and efficient.
Keywords: Artificial Intelligence, Medical Diagnosis, Patient Monitoring.
Cite this article
Philippe Hakizimana, Aime Fidele Ndayiragije Mvuyekure, & Evariste Rukundo (2026). Application of Artificial Intelligence in Medical Diagnosis and Patient Monitoring at Gitwe Hospital, Ruhango District, Southern Province. Global Journal of Engineering and Technology Research, 2(5), 136-139. https://doi.org/10.65150/EP-gjetr/V2E5/2026-02
@article{Philippe2026,
title = {Application of Artificial Intelligence in Medical Diagnosis and Patient Monitoring at Gitwe Hospital, Ruhango District, Southern Province},
author = {Philippe Hakizimana and Aime Fidele Ndayiragije Mvuyekure and Evariste Rukundo},
journal = {Global Journal of Engineering and Technology Research},
year = {2026},
volume = {2},
number = {5},
pages = {136-139},
doi = {10.65150/EP-gjetr/V2E5/2026-02},
url = {https://doi.org/10.65150/EP-gjetr/V2E5/2026-02}
}Questions about this article
Who wrote this article?
Philippe Hakizimana, Aime Fidele Ndayiragije Mvuyekure, Evariste Rukundo.
Where and when was it published?
In Global Journal of Engineering and Technology Research, Volume 2, Issue 5, pages 136-139, published by EP Journals Group on 12 May 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-gjetr/V2E5/2026-02 (https://doi.org/10.65150/EP-gjetr/V2E5/2026-02).
How do I cite this article?
APA: Philippe Hakizimana, Aime Fidele Ndayiragije Mvuyekure, & Evariste Rukundo (2026). Application of Artificial Intelligence in Medical Diagnosis and Patient Monitoring at Gitwe Hospital, Ruhango District, Southern Province. Global Journal of Engineering and Technology Research, 2(5), 136-139. https://doi.org/10.65150/EP-gjetr/V2E5/2026-02
More research from GJETR
- Optimized Deep Convolutional Networks for MRI Brain Tumor Classification and Segmentation: A Systematic Review
Maher Talal Al-Asaady · Oct 2026
- Industry Micro-Credential Infusion in PQF Level 5 Technology Diploma Programs: Opportunities and Challenges
Gamaliel B. Vicente Jr., Alma O. Medio, Redjie D. Arcadio · Oct 2026
- Assessment of Process Mapping, Risk Management, and Iso 9001 Quality Management Standards: Basis for a Technology-Enabled Quality Management Framework
Patrick E. Arendain, Redjie D. Arcadio · Oct 2026
- Integrating Solar-Powered PV Cells And SCR-Controlled Three-Phase Rectifiers to Design A Two-Level DC Grid Architecture
Sadia Sultana Turna, Amzad Ali Sarkar · Oct 2026
- Density Functional Theory Investigation of Defect-Induced Electronic Behavior in Iodine-Deficient Mapbi₃ Perovskites for Solar Cells
Sani Kado, Muhammad Y. Onimisi, Dahiru M. Sanni · Sept 2026