Agents
Human-in-the-loop constructs for agentic workflows in healthcare and life sciences
In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However,
In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However, the sensitive nature of healthcare data and regulatory requirements like Good Practice (GxP) compliance require human oversight at key decision points. This is where human-in-the-loop (HITL) constructs become essential. In this post, you will learn four practical approaches to implementing human-in-the-loop constructs using AWS services.
Related
- New Guide: Incorporating human judgment in the agent improvement loop Building agents is hard. Everyone talks about the code. What gets less…
- Human judgment in the agent improvement loop
- ReDAct: Uncertainty-Aware Deferral for LLM Agents
- What does it actually take to make agents better over time? A system that starts with a trace. You capture traces of agent behavior, enrich …
Source: AWS ML Blog | 2026-04-08