Page 19 - GHES-2-3

Global Health Economics and
Sustainability

REVIEW ARTICLE
Artificial intelligence-enabled antibiotic

prescribing and clinical support in Nigerian
health-care settings: Budgetary constraints,

challenges, and prospect

2
3
Ismail Rabiu * , Abdulazeez Muhammed , Halima Tukur Ibrahim ,
1,2
5
4
6
Fatima Garba Rabiu , Jaafaru Isah Abdullahi , Khadijat Abdulfatai , and
Hafsat Abubakar Musa 7
1 Department of Biomedical Science and Environmental Biology, College of Life Science, Kaohsiung
Medical University, Kaohsiung City, Taiwan
2 Department of Microbiology, School of Science and Information Technology, Skyline University
Nigeria, Kano, Nigeria
3 Department of Computer Science Education, Faculty of Science, Ahmadu Bello University, Zaria, Nigeria
4 Department of Bioengineering, College of Chemicals and Materials, King Fahd University of
Petroleum and Minerals, Dhahran, Saudi Arabia
Abstract

Today, resistance developed by bacteria to common antibiotics that were otherwise
regarded as effective is posing a serious challenge. It is believed that without any different
Academic editor: efforts, this perennial problem will undermine all the ongoing efforts in antibiotic
Mihajlo Jakovljevic M.D. Ph.D. MAE
discovery and therapy development. In Nigeria, antibiotics are frequently prescribed in
*Corresponding author: hospitals. However, issues like multidrug resistance (MDR) and inappropriate use and
Ismail Rabiu
(u112851007@kmu.edu.tw) misuse of antibiotics, including incorrect dosages and use of broad-spectrum antibiotics
for targeted infections, have precipitated the rise of MDR bacteria. Consequently,
Citation: Rabiu, I., Muhammed, A.,
Ibrahim, H.T., et al. (2024). Artificial this leads to higher healthcare costs, mainly due to prolonged hospital stays and
intelligence-enabled antibiotic additional medications as well as increased patient mortality. The prospects of artificial
prescribing and clinical support intelligence (AI)-enabled antibiotic prescribing hold significant promise in transforming
in Nigerian health-care settings:
Budgetary constraints, challenges, the current health-care practices. AI has the potential to enhance the precision and
and prospect. Global Health Econ efficiency of antibiotic treatment through advanced algorithms and data analytics.
Sustain, 2(3):2602. This technology can contribute to improved diagnostic accuracy, providing real-time
https://doi.org/10.36922/ghes.2602
clinical support, optimizing dosage recommendations, personalized treatment plans,
Received: December 31, 2023 and streamlined antimicrobial stewardship, ultimately aiding the global fight against
Accepted: March 7, 2024 antibiotic resistance and optimizing patient outcomes. The integration of AI in antibiotic
prescribing reflects a cutting-edge approach with the potential to revolutionize how
Published Online: August 2, 2024
antibiotics are prescribed to address challenges in antimicrobial stewardship, clinical
Copyright: © 2024 Author(s). decision-making, and combating antibiotic resistance. One of the key impediments to
This is an Open-Access article integrating AI into Nigeria’s health-care system is budgetary constraints. Addressing
distributed under the terms of the
Creative Commons Attribution these constraints through strategic investments, improved budgetary allocation
License, permitting distribution, to research and development, and leveraging the opportunities presented by AI
and reproduction in any medium, technologies can significantly enhance antibiotic prescribing and health-care practices,
provided the original work is
properly cited. leading to improved public health outcomes.
Publisher’s Note: AccScience
Publishing remains neutral with Keywords: Antibiotic resistance; Antimicrobial stewardship; Artificial intelligence; Antibiotic
regard to jurisdictional claims in
published maps and institutional prescribing; Budgetary constraints; Dosage recommendations; Multidrug resistance
affiliations.

Volume 2 Issue 3 (2024) 1 https://doi.org/10.36922/ghes.2602