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Step Functions

1 post about Step Functions. Every summary links to the original.

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AWS
Automate medical coding with Step Functions and Amazon Bedrock AgentCore
Medical coding translates free-text clinical terms into standardized dictionaries such as MedDRA and WHODrug; it is safety-critical because a coding error can send an adverse event to the wrong safety signal, yet it is mostly repetitive work. The solution uses AWS Step Functions to own sequencing and audit trail, while an Amazon Bedrock AgentCore harness provides bounded agentic reasoning within a single step. The workflow escalates cheapest-first: a safety block-list, exact matching, then an AI agent only for terms needing judgment, with a confidence gate routing low-confidence results to a human. Amazon Aurora PostgreSQL with pgvector serves as a single store for reference data and embeddings, and the agent logs explanations for its decisions. The pattern fits when the execution path must be reviewable independently of model reasoning, most of the workload is deterministic, and human escalation is a first-class outcome.

The best engineering reads, once a week.

Topic

1 post about Step Functions. Every summary links to the original.

Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.

Newest first

AWS
Automate medical coding with Step Functions and Amazon Bedrock AgentCore
Medical coding translates free-text clinical terms into standardized dictionaries such as MedDRA and WHODrug; it is safety-critical because a coding error can send an adverse event to the wrong safety signal, yet it is mostly repetitive work. The solution uses AWS Step Functions to own sequencing and audit trail, while an Amazon Bedrock AgentCore harness provides bounded agentic reasoning within a single step. The workflow escalates cheapest-first: a safety block-list, exact matching, then an AI agent only for terms needing judgment, with a confidence gate routing low-confidence results to a human. Amazon Aurora PostgreSQL with pgvector serves as a single store for reference data and embeddings, and the agent logs explanations for its decisions. The pattern fits when the execution path must be reviewable independently of model reasoning, most of the workload is deterministic, and human escalation is a first-class outcome.

The best engineering reads, once a week.