MAMAOPE Clinical Decision Support System (CDSS)
Origin language: English
MAMAOPE is an AI-assisted Clinical Decision Support System (CDSS) aimed at helping healthcare professionals diagnose tuberculosis and pneumonia in resource-limited settings. By integrating clinical guidelines with AI, it analyzes symptoms, vital signs, and clinical information to generate ranked differential diagnoses. The system is designed to enhance diagnostic accuracy, assist frontline health workers, and promote adherence to clinical protocols. Its primary goal is to facilitate timely and precise diagnosis of these diseases while supporting healthcare professionals in decision-making.
In April–May 2025, the CDSS was evaluated in five healthcare facilities in Kampala, Uganda, through a mixed-methods study involving 168 patients and interviews with 10 clinicians. The evaluation explored diagnostic performance, usability and potential integration into routine clinical workflows.
- Connectivity: Dependence on stable internet
- Usability: Inability to edit submitted information, device-specific sessions and typing delays affected workflow efficiency.
- Limited clinical scope: The system focused on tuberculosis and pneumonia
Clinician interviews highlighted several valuable practices:
- Alignment with national clinical guidelines
- Strong usability
- Support for frontline health workers: The CDSS helped less-experienced clinicians with diagnostic reasoning and supported task-sharing in resource-constrained settings.
- Workflow flexibility: Real-time alerts, the ability to pause and resume assessments, and automatically generated patient summaries supported clinical workflows.
