Create and execute PhenoML workflows for healthcare data processing.
npx skills add https://github.com/PhenoML/phenoml-skills --skill phenoml-workflow
Please help me install this Agent Skill. Skill: phenoml-workflow Source: https://github.com/PhenoML/phenoml-skills/tree/main/skills/phenoml-workflow Command: npx skills add https://github.com/PhenoML/phenoml-skills --skill phenoml-workflow
This Skill eliminates the complexity and manual effort involved in setting up and managing healthcare data pipelines. It provides a guided, conversational experience to create, configure, and test PhenoML workflows, allowing developers to rapidly build solutions for processing clinical notes, registering patients, and integrating with FHIR providers without deep API knowledge.
Help me create a new PhenoML workflow to process clinical notes and register new patients.
High-intent search queries and answers about installing and using this skill.
Automate clinical data processing by creating a PhenoML workflow that extracts structured conditions from unstructured clinical notes and converts them into FHIR-compliant resources. The Skill guides you through FHIR provider setup, workflow configuration, and end-to-end testing with sample data.
Yes. PhenoML workflows seamlessly connect to multiple FHIR providers including Medplum, Athena, Epic, and Cerner through a step-by-step configuration process. The Skill handles provider ID management and shared or dedicated instance setup without requiring deep API knowledge.
Use PhenoML workflows to manage patient registration with built-in deduplication logic. The Skill provides guided workflow creation, parameterized configuration for patient demographics and lab results, and reusable Python scripts for end-to-end execution.
Yes. PhenoML workflows require Python and python-dotenv for environment variable management. The Skill includes dependency checks and environment validation steps to ensure your setup is correct before workflow creation and testing.
Test workflows using sample clinical data integrated into the workflow configuration process. The Skill enables parameterized testing with example patient notes and lab results, executed via reusable Python scripts that validate your pipeline end-to-end.
PhenoML workflows support refinement through parameterized configuration of instructions, sample data, and dynamic generation settings. The Skill guides you through workflow modification, re-testing with updated logic, and re-execution without rebuilding from scratch.
awslabsParse HL7v2 messages and FHIR R4 resources into structured formats.
aks-buildsDesign clinical documentation workflows with structured data capture and healthcare standards compliance.
personamanagmentlayerCreate, parse, and validate FHIR and HL7 healthcare data.
aks-buildsParse and validate FHIR R4/R5 resources using Python libraries.
