Enhancing Physicians’ Adherence to the 2023 Sudan Malaria Case Management Protocol Using AI as an Intervention Tool
A combination of an AI-driven CDSS and focused training demonstrated a substantial improvement in physician compliance with the 2023 Sudan Malaria Case Management Protocol, particularly in critical care aspects. However, a possible Hawthorne effect and the absence of clinical outcome data (e.g., morbidity, mortality) should be acknowledged as limitations. Greater scale-up of this approach, while addressing infrastructural and digital literacy challenges, could have a major impact on malaria case management and disease burden in Sudan.
Authors
- Abdalmahmoud Asadig Kanan Ahmed
- Alaa Hamid Mohammed (ORCID: https://orcid.org/0000-0001-5197-492X)
- Lugien Ahmed Mohamed Ibrahim
- Maali Yousif Mustafa Idris
- Zainab Hussein Musa Mohamed
- Samir Duarte Ibrahim
- Safa Eltahir
- Waddah Ahmed (ORCID: https://orcid.org/0000-0003-2658-000X)
- H. Mohammed (ORCID: https://orcid.org/0000-0001-5910-2931)
- Suzan Mohammed Eltayeb Eltahir
Institutions
- University of Khartoum (SD)
- University of Cape Town (ZA)
- Fujisawa City Hospital (JP)
- Polyclinic Medical Center (US)
- Midland Regional Hospital Mullingar (IE)
- Dudley Group NHS Foundation Trust (GB)
- King Abdulaziz Medical City (SA)
- Bayan University (SD)
- National Ribat University (SD)
- The Farah Hospital (JO)
- Sudan Medical Specialization Board (SD)
- Philadelphia Department of Public Health (US)
- University of Gezira (SD)
- Jabil (United States) (US)
- Aswan University (EG)
Publication Details
- Journal
- Cureus
- Published
- 2025-10-09
- DOI
- https://doi.org/10.7759/cureus.94184
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.94