Strategic Project Briefing · 2026–2030
A Nursing-Led AI, Digital Health & Innovation Empowerment Initiative
Powered by TechNurses Africa · Prepared for partners, advisors and ambassadors
The Africa AI Academy for Nurses, Midwives and Healthcare Professionals is being developed as a nursing-led, nursing and midwifery-anchored learning, research, innovation and opportunity ecosystem serving nurses, midwives, women in healthcare and the wider healthcare workforce across Africa and the diaspora.
The question we answer
As AI and digital technologies transform healthcare, who gets to participate in shaping that future?
Nurses and midwives represent a large, predominantly female professional workforce, deeply embedded in hospitals, maternity services, communities, homes, education and health systems.
Yet understanding healthcare does not automatically provide access to the knowledge, digital capability, research experience, innovation ecosystems, networks and opportunities increasingly shaping its future. The Academy exists to help close that gap.
Central belief
The people who carry care should help shape, build and lead the future of technology in healthcare.
We do not want nurses, midwives and women in healthcare to experience AI merely as something designed elsewhere that they are later expected to use. We want more of them to have the capability to:
This is not simply a workforce-development opportunity. It sits at the intersection of:
Because nursing and midwifery are predominantly female professions, investing in their AI and digital capability creates the potential for impact beyond professional education.
Developing healthcare professionals who can participate more confidently and responsibly in digital health, AI, research and innovation.
Creating pathways for more women in healthcare to participate in technology, AI, research, innovation, creation and leadership.
Helping experienced healthcare professionals build future-relevant capabilities that can support new ways of working, innovation, entrepreneurship, professional development and contribution.
Increasing the participation of people who understand care in the conversations, research, design, evaluation and innovation surrounding technologies that increasingly influence care.
Healthcare is changing. AI, digital health, automation, health technology, new models of work and new forms of innovation are changing how healthcare is delivered, organised, researched and experienced. But access to that future is unequal.
Our starting principle
AI beginner does not mean beginner human.
A midwife with 20 years of experience may be an AI beginner while possessing knowledge that technology cannot replace. The Academy starts with what people already know and helps them build what they need next.
Mission
To equip nurses, midwives, women in healthcare and healthcare professionals across Africa and the diaspora with the AI, digital health, research and innovation capabilities to participate in, contribute to and help shape the future of healthcare.
Vision
An Africa where nurses, midwives and women in healthcare are not left behind by technological change, but are equipped and recognised as active participants, researchers, innovators, creators, builders and leaders helping shape a more human future of healthcare.
By 2030, our ambition is not simply to have trained a large number of people. Our destination is to help move people:
From using the future to helping shape it.
Outcome 1
Create accessible pathways through which nurses, midwives and women in healthcare can develop practical AI and digital capability, regardless of whether they consider themselves “tech people.” The aim is not simply awareness. It is progression.
Because nursing and midwifery are predominantly female professions, this also creates a deliberate route through which more women can participate meaningfully in AI and digital innovation.
Outcome 2
The Academy will go beyond AI literacy. We want to develop nurses, midwives and women in healthcare who can:
The Academy is being designed around three levels of progression.
| Level | Movement | What it develops |
|---|---|---|
| Foundation | Understand + Begin | Foundational AI literacy, digital confidence, critical judgement and awareness of digital health, research, innovation and emerging opportunities. |
| Apprenticeship | Learn + Practise → Build + Prove | Moving from learning about something to actually doing something. |
| Fellowship | Apply + Contribute + Lead | A future advanced pathway for people ready to contribute to research, innovation, projects, mentorship, knowledge exchange and leadership. |
The proposed Academy is organised across six connected Faculties.
Together, these recognise that there is no single future pathway. Someone may want to transform their current practice. Another may want to research, create, build, explore new ways of working, or become an innovator or leader. The Academy must make room for those different destinations.
This is where the Academy moves beyond the traditional course model.
Build knowledge and capability.
Take real healthcare problems through investigation, evidence, experimentation and innovation.
Turn knowledge and ideas into media, educational resources, communication, creative work and visible evidence.
Connect people to peers, mentors, leaders, projects, research, networks, opportunities and ways to contribute.
Reach matters. Participation matters. Completion matters. But they are inputs and early indicators, not the destination. If 100,000 people enrol but cannot demonstrate anything they can now understand, use, create, investigate, build or contribute, we have not achieved the mission.
Measurement principle
We will not measure success by enrolment or training numbers alone.
Not simply: How many completed a course?
Not simply: How many attended?
Not simply: How many resources were downloaded?
Not simply: How many joined the community?
This gives us a much stronger five-year measurement framework.
| Dimension | The question it answers |
|---|---|
| Access | Who are we reaching who might otherwise have been excluded? |
| Capability | What can they now demonstrably do? |
| Application | Where are they using what they learned? |
| Innovation | What problems have they investigated, and what have they built or tested? |
| Creation | What useful things have they created? |
| Evidence | What proof of capability, research or learning has been produced? |
| Opportunity | Where has capability become useful — in projects, research, collaboration, workplace application, entrepreneurship or creative work? |
| Contribution | How many people begin giving knowledge, time, expertise or support back? |
| Leadership | How many people progress from learner to contributor, mentor, innovator, researcher, educator or leader? |
| Gender & inclusion | Are women in healthcare gaining meaningful participation in AI, digital health, research and innovation — not merely attending training? |
| Public & healthcare value | What evidence suggests that projects and innovations are contributing to better experiences, practices, services, workforce capability or communities? |
We should measure this carefully rather than promise that every Academy activity improves patient outcomes.
How many people did TechNurses Africa train?
How many nurses, midwives and women in healthcare moved from being excluded from the AI and digital future to demonstrating capability, creating, researching, innovating, contributing and leading within it?
That is a much harder measurement framework. But it is also a much more meaningful definition of impact.
TechNurses Africa is not starting this journey from zero. Existing programme experience and internal project metrics include:
The next evolution
These existing numbers help establish reach and early experience. The Academy represents the next evolution, and that distinction should become part of our institutional measurement philosophy.
The movement is about inclusion. The Academy is one of the mechanisms through which inclusion becomes capability, agency, contribution and leadership.
The Africa AI Academy for Nurses, Midwives and Healthcare Professionals is not being built simply to teach healthcare professionals how to use the latest AI tools. It is being built to help create a future in which nurses, midwives and women in healthcare have meaningful agency in the technological transformation of healthcare.
And ultimately
We want the people who carry care to have the capability, evidence, opportunity and voice to help shape, build and lead the future of technology in healthcare.
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