Insights
SEYON insights on AI agent build, healthcare IT, FHIR, HL7 v2, data engineering, cloud computing, and application development.
Showing 8 of 8
AI and Automation
6 min read
An agent is a worker with a narrow job, a set of tools, and a person who still owns the outcome. The build starts by writing those limits down.
Read article: What to settle before an AI agent buildFHIR
6 min read
A FHIR facade is a contract. The useful work starts by choosing resources, profiles, and the identity boundary, not by generating every resource the specification defines.
Read article: What to decide before a FHIR R4 integrationHL7 v2
6 min read
ADT, ORU, and ORM messages still move a large share of healthcare operations data. A reliable interface starts with the segments you actually require and a clear failure path.
Read article: How to read an HL7 v2 ADT messageHealthcare IT
5 min read
C-CDA documents carry clinical summaries in XML. They are useful, uneven, and a poor place to guess. Extraction works when the document sections and the target model are both explicit.
Read article: What integration teams should expect from C-CDAData Engineering
6 min read
Source systems, ingestion, transformation, quality checks, a warehouse, and analytics form a pipeline people can operate. Skipping the quality stage is how silent errors reach a report.
Read article: A practical shape for a healthcare data pipelineCloud Computing
6 min read
The first cloud move should make hosting, backup, and release repeatable. It does not need to adopt every service a provider offers.
Read article: Landing a first workload on Azure, AWS, or Google CloudApplication Development
5 min read
A web client, an API, business rules, and a database are four different change rates. Mixing them makes every release riskier than it needs to be.
Read article: Where the API boundary belongs in a healthcare applicationAI and Automation
5 min read
Automation is useful when the rule is stable and the exception path is visible. It is a poor place to hide judgment calls about clinical meaning.
Read article: Where automation helps clinical data operations