medical NLP

Medical NLP de-identification workbench for OpenMed teams

Paste a clinical note, identify likely PHI, preview redaction, score privacy risk, and turn the result into a paid implementation receipt.

Input
Clinical text, language, method, and processing boundary.
Output
PII findings, redacted preview, entity notes, and implementation receipt.
Boundary
Independent workflow studio for teams evaluating OpenMed-compatible medical NLP, PII, and de-identification workflows. Not affiliated with, endorsed by, or certified by the OpenMed maintainers.

medical NLP

Privacy preview

82
Clinical note PHI scan Medical entities Redacted receipt
Checkout Team annual
PII findings5

Names, dates, MRN, phone, and email detected.

Medical entities3

Symptoms, diagnosis, and medication signals found.

Risk score82

Higher means the workflow needs a saved receipt before release.

Redacted previewmask

        
Receipt JSONPreview

        

Workflow fit

For teams that need an OpenMed-compatible way to plan medical NLP, PHI de-identification, and private workflow handoff before production.

Use it before sending notes to a chatbot, building a healthcare copilot, publishing a dataset, or deciding whether OpenMed REST, Python, MLX, or OpenMedKit should own the workflow.

  1. Paste or upload representative clinical text with synthetic or approved sample data.
  2. Choose language, note type, and de-identification method.
  3. Review PII findings, medical entities, redacted output, and the checkout-ready receipt.
Implementation receiptPreview
  • Sending PHI to a general chatbot before de-identification
  • Treating a browser preview as a validated clinical model result
  • Forgetting batch failure handling before processing large note exports
  • Implying maintainer affiliation when the workflow is an independent commercial layer

Capabilities

Built around real OpenMed-compatible workflow decisions

The workspace packages medical NLP, PHI de-identification, batch processing, REST API, MLX, and mobile boundary decisions into a usable commercial workflow.

pii-preview

PII detection preview

Input: Clinical text, language, note type, and de-identification method

Process: Runs deterministic browser checks that mirror the OpenMed workflow shape before paid processing

Output: PII findings, redacted preview, risk score, and receipt JSON

medical-entities

Medical entity readiness

Input: Symptoms, diagnoses, medication names, and clinical context

Process: Maps the sample to medical NLP entity groups that OpenMed-style models can handle

Output: Entity summary, confidence notes, and model family recommendations

batch-plan

Batch de-identification plan

Input: CSV, JSONL, Parquet, or free-text note workflow assumptions

Process: Turns dataset shape into a batch processing plan with error handling and export notes

Output: Implementation receipt for engineering and privacy review

deployment-boundary

Private deployment boundary

Input: Browser, Python, FastAPI, Apple MLX, OpenMedKit, or air-gapped target

Process: Records where PHI is allowed to run and which OpenMed-compatible runtime fits

Output: Boundary note for rollout, audit, and procurement

Evidence

Current upstream and search-source signals

OpenMed is tracked as Apache-2.0, PyPI 1.5.5 released on 2026-06-08, with recent upstream activity and public RSS coverage around medical NLP, clinical de-identification, PHI privacy, and on-device medical AI.

GitHub stars2,292
GitHub forks244
LicenseApache-2.0
Traffic anchormedical NLP

Google Trends requests returned HTTP 429 in this run, so relative Trend values versus mirofish are not shown as measured data.

Intent pages

Useful paths for medical NLP and healthcare AI privacy questions

Each page answers a specific search intent and routes visitors back to the workbench, pricing, or hosted checkout.

OpenMed GitHub OpenMed GitHub to medical NLP implementation receipt

For visitors who found the OpenMed GitHub project and need a practical SaaS workflow around it.

medical NLP Medical NLP workflow planning for private clinical text

For teams comparing OpenMed-compatible local NLP with cloud medical APIs.

clinical de-identification Clinical de-identification planner with evidence receipts

For privacy and data teams preparing clinical notes for AI, analytics, or research workflows.

PHI de-identification PHI de-identification receipt for healthcare AI teams

For teams preparing protected health information for downstream AI or data workflows.

healthcare AI privacy Healthcare AI privacy workflow before text leaves the boundary

For product teams building healthcare AI features that need privacy evidence and clear next steps.

on-device medical AI On-device medical AI planning for private notes

For teams evaluating local-first healthcare AI instead of sending text to a remote API.

OpenMed REST API OpenMed REST API handoff for clinical NLP services

For engineering teams preparing a containerized medical NLP service.

OpenMed batch processing OpenMed batch processing plan for clinical note exports

For teams preparing multi-record medical NLP or de-identification jobs.

OpenMedKit Swift MLX OpenMedKit Swift and MLX workflow planning

For teams building iPhone, iPad, or Mac clinical text tools around OpenMed-compatible models.

CopilotKit alternative CopilotKit boundary for healthcare AI privacy workflows

For teams searching CopilotKit GitHub, React, Angular, Vue, npm, Python, or react-core terms while deciding how to keep healthcare text private.

Pricing

Public monthly pricing with yearly savings

Yearly billing is selected by default and shows the annual total divided by 12. Each checkout request preserves plan, billing, period, and planId.

Starter

Individual builders validating a small clinical text workflow

$14.50/mo USD

Due today: $174 for one year. Annual billing is 50% less than monthly. No automatic renewal.

  • Browser medical NLP privacy preview
  • Five saved PII and redaction receipts
  • OpenMed model and API fit notes
  • Email support for checkout and activation
Checkout Starter annual

Compliance

Regulated teams documenting PHI handling and model boundaries

$99.50/mo USD

Due today: $1,194 for one year. Annual billing is 50% less than monthly. No automatic renewal.

  • Multi-workspace evidence trail
  • HIPAA Safe Harbor category mapping
  • Air-gapped and on-device deployment plan
  • Priority implementation handoff review
Checkout Compliance annual