google-cloud-healthcare-api

The saved excerpt is a snapshot from review. The external source remains the complete and most current version.

---
name: google-cloud-healthcare-api
description: |
  Google Cloud Healthcare API integration. Manage data, records, and automate workflows. Use when the user wants to interact with Google Cloud Healthcare API data.
compatibility: Requires network access and a valid Membrane account (Free tier supported).
license: MIT
homepage: https://getmembrane.com
repository: https://github.com/membranedev/application-skills
metadata:
  author: membrane
  version: "1.0"
  categories: ""
---

# Google Cloud Healthcare API

The Google Cloud Healthcare API allows developers to build healthcare solutions by providing access to medical data. It enables ingestion, storage, and analysis of healthcare data in a secure and compliant manner. Healthcare providers, researchers, and technology companies use it to improve patient care and accelerate research.

Official docs: https://cloud.google.com/healthcare-api/docs

## Google Cloud Healthcare API Overview

- **Healthcare Datasets**
  - **HL7v2 Stores**
     - **HL7v2 Messages**
  - **FHIR Stores**
     - **FHIR Resources**
  - **DICOM Stores**
     - **DICOM Instances**
        - **DICOM Studies**
        - **DICOM Series**

Use action names and parameters as needed.

## Working with Google Cloud Healthcare API

This skill uses the Membrane CLI to interact with Google Cloud Healthcare API. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.

### Install the CLI

Install the Membrane CLI so you can run `membrane` from the terminal:

```bash
npm install -g @membranehq/cli@latest
```

### Authentication

```bash
membrane login --tenant --clientName=<agentType>
```

This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.

**Headless environments:** The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:

```bash
membrane login complete <code>
```

Add `--json` to any command for machine-readable JSON output.

**Agent Types** : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness

### Connecting to Google Cloud Healthcare API

Use `membrane connection ensure` to find or create a connection by app URL or domain:

```bash
membrane connection ensure "https://cloud.google.com/healthcare" --json
```
The user completes authentication in the browser. The output contains the new connection id.

This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically.

If the returned connection has `state: "READY"`, skip to **Step 2**.

#### 1b. Wait for the connection to be ready

If the connection is in `BUILDING` state, poll until it's ready:

```bash
npx @membranehq/cli connection get <id> --wait --json
```

The `--wait` flag long-polls (up to `--timeout` seconds, default 30) until the state changes. Keep polling until `state` is no longer `BUILDING`.

The resulting state tells you what to do next:

- **`READY`** — connection is fully set up. Skip to **Step 2**.
- **`CLIENT_ACTION_REQUIRED`** — the user or agent needs to do something. The `clientAction` object describes the required action:
  - `clientAction.type` — the kind of action needed:
    - `"connect"` — user needs to authenticate (OAuth, API key, etc.). This covers initial authentication and re-authentication for disconnected connections.
    - `"provide-input"` — more information is needed (e.g. which app to connect to).
  - `clientAction.description` — human-readable explanation of what's needed.
  - `clientAction.uiUrl` (optional) — URL to a pre-built UI where the user can complete the action. Show this to the user when present.
  - `clientAction.agentInstructions` (optional) — instructions for the AI agent on