Enterprise Medical Imaging in Zambia
The Republic of Zambia, like many countries world-over, is faced with a critical shortage of trained radiologists, medical experts specialised in the interpretation of medical images for radiological diagnosis of health conditions. It was reported that as of 2019, Zambia had only five (5) trained radiologists against a population of 17 million (Bwanga et al., 2019). This project seeks to investigate the challenges resulting from the shortage of radiologists and to investigate the feasibility of implementation of efficient and effective medical imaging workflows using enterprise imaging techniques, in order to demonstrate the potential of enterprise imaging in addressing the grand challenges associated with medical imaging in Zambia.
Project Members
Project Publications
Muzumala, Malaizyo. 2025. “Exploring Artificial Intelligence Based Interpretation of Medical Images in Radiological Workflows in Zambia”. Department of Computing and Informatics. Lusaka, Zambia: The University of Zambia. |
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Shawa, Andrew, Elijah Chileshe, Brighton Mwaba, John Mwanza, Wilkins Sikazwe, Ernest Obbie Zulu, and Lighton Phiri. 2024. “User Centred Design and Implementation of Useful Picture Archiving and Communication Systems for Effective Radiological Workflows in Public Health Facilities in Zambia”. In Annual Conference of South African Institute of Computer Scientists and Information Technologists (SAICSIT 2024), 175-89. Gqeberha, South Africa: Springer Nature Switzerland. doi:10.1007/978-3-031-64881-6_10. |
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Shawa, Andrew. 2023. “Design and Implementation of an Orthanc Plugin for Semi-Automatic Interpretation of Medical Images”. Department of Computer Science. Lusaka, Zambia: University of Zambia. |
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Chileshe, Elijah. 2023. “Evaluating DICOM Compliance for Medical Images in Public Health Facilities in Zambia”. Department of Computer Science. Lusaka, Zambia: University of Zambia. |
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Mahlaza, Zola, Ernest Obbie Zulu, and Lighton Phiri. 2023. “Radiology Report Terminology to Characterise Reports in Southern Africa”. In Research Conference on Metadata and Semantics Research (MTSR 2023), 147-54. Milan, Italy: Springer Nature Switzerland. doi:10.1007/978-3-031-65990-4_12. |
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