Digital Health Systems Keep Failing. The Fix Isn’t More Tech, It’s Designing with and for People

Why It Matters

Without HCD, costly digital projects stay idle, weakening public‑health intelligence and widening data gaps, while user‑focused designs boost trust, equity, and policy impact.

Key Takeaways

• HCD uncovers workflow barriers like electricity gaps and low digital literacy
• Interoperability alone doesn’t guarantee adoption; user trust drives usage
• Co‑created dashboards increase policy uptake and inclusion
• Redesign with frontline feedback turns stalled systems into trusted tools

Pulse Analysis

The past decade has seen a flood of donor and government money into digital health infrastructure, from electronic birth registries to real‑time mortality dashboards. The promise—faster, more accurate data for life‑saving policies—has been compelling, but many platforms falter because they ignore the daily realities of the users who must enter, manage, and act on that data. Human‑centered design flips the script, starting with field observations of parents, health workers, and civil servants, and then shaping technology to fit those lived workflows rather than forcing users into rigid systems.

Concrete evidence is emerging from low‑ and middle‑income settings. In Rwanda, a co‑designed CRVS dashboard gave district health managers the data they needed for resource allocation, while Ecuador’s cross‑agency data links enabled targeted nutrition and cash‑transfer programs. Mexico’s national health survey dashboard, built with civil‑society input and translated into Nahuatl, achieved broader policy relevance. Conversely, Cameroon’s interoperable registration platform stalled because frontline staff saw little value and struggled with connectivity. When the same system was re‑examined through an HCD lens, user‑identified bottlenecks were addressed, leading to higher adoption and trust.

For donors and ministries, the takeaway is clear: embed HCD from project inception, not as an afterthought. Allocate budget for user research, iterative prototyping, and continuous feedback loops. By doing so, investments avoid costly roll‑outs that never gain traction, close registration gaps for marginalized groups, and create adaptable systems that can evolve with changing health priorities. In an era where data drives every public‑health decision, designing with people at the center is the most reliable path to impact.