Smarteeva White Paper: Transforming Medical Device Post-Market Surveillance

Learn why 20% annual complaint growth and 42% recall increases are breaking traditional PMS systems
See the five capabilities that replace manual data entry, disconnected tools, and spreadsheet-based risk management
Understand how AI-powered signal detection catches safety patterns that manual review misses

Summary

Evermind™ — a fast-growing European SaaS company — was preparing a full platform redesign: new UI, new navigation, new onboarding, and a rebuilt permissions system. But the engineering team was stuck.Their codebase had accumulated years of async drift — un-awaited promises, deeply nested chains, race-condition hazards, and logic that worked “most of the time… except when it didn’t.”

What you will learn

Smarteeva started with a full async map of the codebase — parsing every function, promise chain, and cross-module dependency.The Editor flagged unstable flows, Debug surfaced non-awaited calls and silent failures, and Review mapped where side effects were leaking across boundaries.Patterns emerged quickly:

  • 47% of async handlers returned before their internal operations finished
  • Several “harmless” utility functions introduced hidden parallel execution
  • Error propagation was inconsistent across 6 core services
  • One legacy module triggered three parallel writes without guaranteeing order