{"author":{"name":"Pierre de Malliard","slug":"pierre-de-malliard","article_count":1,"latest_published_at":"2026-04-15T17:56:08.892+00:00","profile_url":"https://vff.ai/authors/pierre-de-malliard","api_url":"https://vff.ai/api/authors/pierre-de-malliard"},"articles":[{"slug":"human-in-the-loop-constructs-for-agentic-workflows-in-healthcare-and-life-scienc","title":"AWS Outlines Four HITL Patterns for Healthcare AI Agents","url":"https://vff.ai/article/2026/04/15/human-in-the-loop-constructs-for-agentic-workflows-in-healthcare-and-life-scienc","content_type":"aggregated_news","summary":"AWS published a technical guide on implementing human-in-the-loop (HITL) constructs for AI agents in healthcare and life sciences workflows. The post outlines four practical approaches using AWS services, the Strands Agents framework, and Amazon Bedrock AgentCore Runtime to enforce human oversight at critical decision points while maintaining automation efficiency. HITL is essential in healthcare due to regulatory compliance requirements like GxP standards, patient safety concerns, audit trails, and Protected Health Information (PHI) sensitivity.","published_at":"2026-04-15T17:56:08.892+00:00","updated_at":"2026-04-22T00:59:04.768177+00:00","source":{"url":"https://aws.amazon.com/blogs/machine-learning/human-in-the-loop-constructs-for-agentic-workflows-in-healthcare-and-life-sciences/","name":"AWS Machine Learning Blog"},"featured_image":{"url":"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/03/24/Screenshot-2026-03-24-at-1.45.21%E2%80%AFPM.png","alt":null},"categories":[{"name":"AI Agents","slug":"ai-agents"},{"name":"AI for Business","slug":"ai-for-business"},{"name":"Infrastructure","slug":"infrastructure"}]}]}