Audrey Naledi Masizana, PhD
International Scholar
- Senior Scholar, Computer Science | University of Botswana
- Botswana
- Artifical Inteligence | Data Science Training in Health Care | Health Data Analytics | Health Informatics | Health Literacy | Informatics | Information Literacy | Machine Learning | Telemedicine
Languages: English (Fluent), Setswana (Fluent)
Bio statement
Dr Masizana has successfully led Global Health Research projects at the University of Botswana including those under Microsoft-sponsored Digital Inclusion call of 2006 and 2008. She has fostered wide-reaching collaboration within and beyond, NGO’s such as Botswana UPENN, Botswana Harvard Partnerships, CHOP and also with the Government through the Ministry of Health She is also spearheading a number of health-related research projects providing digital solutions for the country including the latest being leading a collaboration with University of California San Francisco (UCSF) funded by CDC in 2024 which successfully developed Botswana eHealth Architecture.
Recent global health projects
Principal Investigator for University of Botswana: Development of the Botswana eHealth Enterprise Architecture (BeHEA), a strategic blueprint intended to guide the integration and governance of digital health systems nationwide. The University of California, San Francisco (UCSF) and UB received an award from the US Centres for Disease Control and Prevention (CDC) in 2024 which was completed it in 2025.
Principal Investigator for University of Botswana: UB awarded a research
grant to undertake a research study aimed at developing a Machine Learning-Based Model
for COVID-19 Mortality Prediction in Botswana which is still ongoing.
Selected publications
Clinical Data Flow in Botswana Clinics: Protocol for a Mixed-Methods Assessment, G Faulkenberry, A Masizana, B Mosesane, K Ndlovu - JMIR Research Protocols, Volume 13, Issue1, page e52411, 2024: https://pubmed.ncbi.nlm.nih.gov/39383523/
Ndlovu K, Mauco KL, Makhura O, Hu R, Motlogelwa N, Masizana A, Lo E, Mphoyakgosi T, Moyo S, Adapting REDCap for COVID-19 Laboratory Data Management in a Resource-Limited Country - Experiences, Lessons and Challenges: Descriptive Study. JMIR Formative Research. 02/11/2023:50897 (forthcoming/in press). DOI: 10.2196/50897. https://formative.jmir.org/2024/1/e50897
Audrey Masizana , Zablon Akoko Mbero, Use of Wearables in the Dynamic World of IOT’s: A Case for Age Based
Care Data Visualization - Proc, of International Data Week (IDW2022), 18-22 June 2022. Seoul, Korea
https://www.scidatacon.org/IDW-2022/sessions/322/
Audrey Masizana, Zablon Akoko Mbero, "Interoperability On Health Care Data – The Missing Link For Better Decision
Making". Proc, of International Data Week (IDW2022), 18-22 June 2022. Seoul, Korea (Poster)
https://www.scidatacon.org/IDW-2022/sessions/469/
Z.A. Mbero , V.L Lakshmi Narasimhan, and A N Masizana, IOT-based critical care Applications for
the Aged” Poc of the 24th IFIP World Congress (Advanced Data Conference-ADC sub
Conference), Poznan, Poland, 17-21 Sept 2018. SAP Academic Conference, Germany, 10-14 Sept,
2018
Audrey Masizana. Chandrasekaran, Rajeswari, Clustering as an Artificial Intelligence
Technique in Drug Resistance of HIV/AIDS Patients: Case Study Botswana., Proceedings of
the IASTED African conferences published in 2014, Gaborone, Botswana published in
Biomedical Engineering, Vol. 11, No. 1, 2014.
Last Updated: 20 July 2026