My commitment to strengthening health systems began long before I entered the field of health informatics. Growing up in rural Kisii, Kenya, I witnessed the realities of care through the quiet resilience of my late mother, who served as a nurse. Even as a child, I sensed that her work required not only skill but also deep courage to navigate constraints no health worker should face. Combined with limited opportunities for young people around me, those early experiences planted a conviction: that dignity in healthcare and dignity in opportunity must go hand in hand.
My work, whether in digital health, leadership, or youth advocacy, remains rooted in where I come from and the people who shaped me.
This grounding has shaped my journey as a Mastercard Foundation Scholar and a Master of Health Informatics candidate at the University of Toronto. My graduate studies have offered new ways of understanding the systems I once only observed. Through coursework in interoperability, leadership, artificial intelligence governance, and process innovation, I have learned how breakdowns in data quality, policy, infrastructure, and governance often undermine the best intentions of frontline workers. This systems perspective has been reinforced by Kenya’s rollout of the electronic Community Health Information System (eCHIS), where frontline Community Health Volunteers demonstrated strong commitment to data collection, yet persistent gaps in interoperability, infrastructure, and data governance limited the translation of their efforts into system‑level decision‑making.1,2 Additionally, the leadership course, Leadership for Digital Health Transformation, challenged me to approach change through Clayton Christensen’s disruptive innovation lens and Govindarajan’s “create and destroy” framework, understanding that transformation requires both questioning outdated systems and deliberately building new ones.3,4



These ideas came alive for me this past October during the 2025 Africa Health Collaborative (AHC) Annual Convening in Kigali, Rwanda, where I served as Chairperson of the Young Leaders Table and as a youth representative on the Executive Steering Committee. In this role, I help advocate for youth voices across three essential pillars of Africa’s health future: Health Employment, strengthening primary healthcare workforce pathways; Health Entrepreneurship, nurturing youth-led innovation; and Health Ecosystems, building the collaborations needed for system-wide transformation.
One of the most meaningful moments at the Convening was co-leading the Youth Employment Breakfast Session, a candid, solutions-driven exchange between young professionals and institutional leaders. Young people spoke openly about the barriers they face— unstructured internships, inconsistent mentorship, and unclear pathways into meaningful employment. Yet what emerged from this dialogue was collective energy, a recognition that youth are not just seeking seats at the table but are actively shaping new ways of imagining Africa’s health workforce.
Later that day, I moderated a session on AI-driven metrics for health delivery and decision-making alongside Professor Wilfred Ndifon and Professor Erica Di Ruggiero, two leaders whose perspectives deeply shaped the conversation. Prof. Ndifon highlighted the power of predictive analytics to shift the continent from reactive health responses to proactive planning. Prof. Di Ruggiero emphasized the importance of ethically grounded metrics that expose, rather than reproduce, inequities in health systems.

Africa’s health future will be defined by the systems we build together, systems that are ethical, equitable, resilient, and worthy of the communities they serve.
I was also invited to share my own reflections during the discussion. I spoke about the foundational principle in informatics: “garbage in, garbage out.” Without accurate, high-quality, ethically collected data, even the most sophisticated AI systems cannot produce meaningful insights. I emphasized that Africa’s digital transformation requires more than tools; it requires strong data governance, privacy protections, and AI infrastructure built intentionally for African health systems, not retrofitted from contexts that do not reflect our realities. AI can only advance equity when the systems underpinning it are trustworthy, context-aware, and anchored in local ownership.
Leaving Kigali, I felt a renewed sense of purpose. My work, whether in digital health, leadership, or youth advocacy, remains rooted in where I come from and the people who shaped me. As I continue to grow as an emerging global and digital health leader, I hold tightly to one belief: that Africa’s health future will be defined by the systems we build together, systems that are ethical, equitable, resilient, and worthy of the communities they serve.
John Nyagaka is a Master of Health Informatics Candidate at the University of Toronto, a Mastercard Foundation Scholar, and the Chairperson of the Young Leaders Table with the Africa Health Collaborative.
References:
- National Community Health Digitization Strategy 2020-2025. (2021). https://www.eahealth.org/sites/www.eahealth.org/files/content/attachments/2021-08-02/eCHIS-Strategy-2020-2025.pdf
- Kenya’s eCHIS: revolutionizing community health with digital innovation. (2024, December 19). Exemplars.health. https://www.exemplars.health/stories/kenyas-echis
- Christensen, C.M., McDonald, R., Altman, E.J. and Palmer, J.E. (2018). Disruptive Innovation: An Intellectual History and Directions for Future Research. Journal of Management Studies, 55(7), pp.1043–1078.
- Ramdorai, A., & Herstatt, C. (2015). Disruptive Innovations Theory. India Studies in Business and Economics, 27–38. https://doi.org/10.1007/978-3-319-16336-9_3
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