Mr Goitom Yemane

AI is reaching the African bedside, from WHO-recommended TB screening to clinical decision support. Become the critical adopter who knows when to trust an algorithm, when to override it, and how to validate it on your own patients. A facilitated certificate for clinicians, nurses, and frontline professionals, capped by a workplace project, with every lesson opening on a narrated, captioned slide deck in English and in French.

• Separate evidence-graded clinical AI from hype
• Interpret and safely override AI outputs with documented reasoning
• Write clear, safe prompts and spot fabrication and bias
• Plan local validation and bias checks before trusting a model
• Embed AI in clinical workflows under clinical governance
• Use EMR and CDSS so digitisation feeds the national platform

Assessed at Level II — Digital Health Practitioner

• D6 · Clinical and Public Health Informatics Applications

  Configures DHIS2 Tracker for a programme; selects mHealth channels; runs telemedicine models; analyses outbreak data; applies GIS.

• D4 · Digital Health Governance, Policy and Ethics

  Drafts data-sharing agreements and privacy policies; assesses tools for bias and equity using WHO AI-ethics principles.

Standard

• Completion of every required lesson in the ADHA learning platform.
• A minimum score of 80% on the end-of-course assessment.
• A minimum score of 66.66% on the assessed workplace project, marked by ADHA facilitators against a published rubric.

Verified for this holder

Issued by the Africa Digital Health Academy on review of the holder's record.