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This invention describes a software system that automates tasks in healthcare by responding to changes in patient data. When healthcare information is updated through a form, the system's 'robot' detects these changes and uses a set of pre-defined rules to decide what actions to take, like sending notifications or updating records. Crucially, these rules are designed to operate in a sequence of 'states,' where each state dictates specific triggers and actions, allowing for complex, multi-step workflows.
Why it matters: The widespread adoption of FHIR and other interoperability standards since 2017 significantly simplifies integrating diverse healthcare data sources, which was a major hurdle for systems relying on APIs to detect data events. This makes building the core data ingestion and event detection components much more feasible.
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