# Healthcare Discipline Watch — Last 90 Days

**Use case:** 

Pull normalized disciplinary actions for providers from five state medical boards and the federal OIG exclusion list in one run. Returns typed JSON with stable record IDs, a fixed action taxonomy, provenance, and optional possible-match flags against the full LEIE index. Covers CA, FL, MD, WA and KY over the last 90 days, capped at 2,000 records.

## Input

```json
{
  "sources": [
    "fl_mqa",
    "ca_mbc",
    "md_mbp",
    "wa_doh",
    "ky_kbml",
    "oig_leie"
  ],
  "sinceDate": "",
  "untilDate": "",
  "states": [],
  "emitMode": "all",
  "stateStoreName": "healthcare-discipline-watch-state",
  "maxRecords": 2000,
  "includeSummaries": true,
  "matchFederalExclusions": true,
  "requestDelayMs": 750
}
```

## Output

```json
{
  "actionDate": {
    "label": "Action date"
  },
  "jurisdiction": {
    "label": "Jurisdiction"
  },
  "providerName": {
    "label": "Provider name"
  },
  "licenseType": {
    "label": "License type"
  },
  "actionType": {
    "label": "Action type"
  },
  "stage": {
    "label": "Stage"
  },
  "isNew": {
    "label": "Is new"
  },
  "source": {
    "label": "Source"
  },
  "recordId": {
    "label": "Record id"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Healthcare Discipline Watch — Multi-State & Federal Actions Actor is ready to run with the inputs already set for "Healthcare Discipline Watch — Last 90 Days". [Sign up or log in](https://console.apify.com/create-task-from-example/loK7UFYG8dJv1FDbR) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Healthcare Discipline Watch — Last 90 Days" task

The Healthcare Discipline Watch — Multi-State & Federal Actions Actor will start running based on the input automatically. You can also change all the input fields, like sources, states, and more, to match your specific use case.

### 3. Receive the "Healthcare Discipline Watch — Last 90 Days" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as action date, jurisdiction, provider name, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Healthcare Discipline Watch — Last 90 Days" task via API](https://apify.com/atomixx/healthcare-discipline-watch.md).

## FAQ

### Does this replace a background check?

No. It collects public disciplinary and exclusion records so a reviewer can start from a clean list. Verify each record against its linked source document before acting.

### What is possibleFederalMatch?

A conservative flag set only when first name, last name and state exactly match an OIG LEIE entry. It is a hint for review, never a confirmed identity match.

### How do I get only new actions later?

Set Emit mode to new. The actor stores each record hash in the named Key-Value Store, so later runs return only records it has never emitted.

### Where does the data come from?

Five state medical board sites (CA, FL, MD, WA, KY) and the federal HHS OIG LEIE list. All are public government publications, with no login, CAPTCHA or API key required.

## About this Actor

This example demonstrates how to use [Healthcare Discipline Watch — Multi-State & Federal Actions](https://apify.com/atomixx/healthcare-discipline-watch.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/atomixx/healthcare-discipline-watch.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/atomixx/healthcare-discipline-watch.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).