World Solve — A living repository of problems worth solving.

What World Solve is

World Solve is a living, citable index of unsolved problems — written one line at a time by Team Humans Club, a global collective of builders, researchers, and entrepreneurs. We do not solve the problems here. We Democratize Innovation.

For builders Skip the search for a problem worth your time. Browse a vetted, growing list and start where the gap is real.

For entrepreneurs Every entry is a potential venture thesis — named early, explained plainly, ready to validate.

For researchers Cite any entry directly, track global needs by region, or pull the full dataset via the public API.

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Data interoperability will remain a bottleneck for learning health systems. This variant focuses on data infrastructure and measurement challenges over the next two decades.

open Global / Unspecified, Global

Electronic health record silos, uneven standards, and privacy concerns will hinder cross-institutional analytics. Federated learning, privacy-preserving linkage, and open standards could unlock insights.

data will learning health interoperability society-governance

WS02037 · Logged by Ian Patel on 2026-07-22T20:40:00Z · Horizon: 10-20 years · Working on: 0

Citation ID: WS02037 Title: Data interoperability will remain a bottleneck for learning health systems. This variant focuses on data infrastructure and measurement challenges over the next two decades. URL: https://www.worldsolve.org/index.php?api=problem&id=2037