product-clinical-workflow

Convert OCR transcripts into standardized care coordination forms with validation rules.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/JustinChaney2023/orate --skill product-clinical-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-clinical-workflow
Source: https://github.com/JustinChaney2023/orate/tree/main/roles/product-clinical
Command: npx skills add https://github.com/JustinChaney2023/orate --skill product-clinical-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill defines a HIPAA-compliant clinical workflow for converting OCR transcripts and unstructured notes into a standardized care coordination form with clearly defined sections, fields, and validation rules, reducing ambiguity and ensuring auditability.

Core Features & Use Cases

  • Canonical Form Schema: Design complete form schemas with sections, field types (text, enum, boolean, date, signatures), and ground-truth references from source documents.
  • Field Rules & Acceptance Criteria: Specify required fields, provenance for populated data, and gating to prevent missing or invented data.
  • Workflow & Validation: Outline intake, processing (OCR/transcription), review (side-by-side source vs. filled fields with confidence), finalization, and export to standard formats.
  • Safety & Compliance: Enforce HIPAA-aligned safeguards, auditable provenance, and explicit handling of unknown values.

Quick Start

Provide a HIPAA-compliant workflow blueprint starting from a raw OCR transcript, and define the required form sections, fields, and validation criteria to generate the deliverables.

Frequently Asked Questions about product-clinical-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert OCR transcripts into HIPAA-compliant care coordination notes?

You can convert OCR transcripts into care coordination notes by applying a structured clinical workflow that enforces form schemas, validation rules, and auditable provenance to ensure data is not missing or invented.

What is provenance in clinical workflow data validation?

Provenance in clinical workflow data validation tracks the exact source origin of populated form fields from raw OCR transcripts, enforcing ground-truth references to prevent missing entries and ensure strict auditability.

How do I design a form schema for unstructured clinical notes?

Design a clinical form schema by defining specific sections, field types like text and enum, and ground-truth references from source documents to standardize unstructured notes into care coordination fields.

Does this clinical workflow support side-by-side source review for OCR confidence?

Yes, the clinical workflow includes a review step that displays side-by-side source documents versus filled form fields with confidence levels, ensuring explicit handling of unknown values before final export.

What deliverables are required for a HIPAA-compliant OCR processing workflow?

Required deliverables for a HIPAA-compliant OCR processing workflow include schema.json for form structure, validation_rules.md for field gating, and workflow.md outlining intake, processing, review, and export steps.

When should I use a standardized form schema for OCR transcript intake?

Use a standardized form schema for OCR transcript intake when you need to reduce ambiguity, enforce strict data validation, and maintain auditable provenance for HIPAA compliance during care coordination.