POST
/
medical
/
v1
/
document
/
upload
Upload Document
curl --request POST \
  --url https://api.sandbox.metriport.com/medical/v1/document/upload \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '{
  "type": {
    "text": "<string>",
    "coding": [
      {}
    ]
  },
  "description": "<string>",
  "context": [
    {
      "period": {},
      "facilityType": {
        "text": "<string>"
      }
    }
  ]
}'
import { MetriportMedicalApi } from "@metriport/api-sdk";
import axios from "axios";

const metriport = new MetriportMedicalApi("YOUR_API_KEY");
const docRef: Partial<DocumentReference> = {
  description: "Third degree wrist burn treatment",
  type: {
    text: "Burn management Hospital Progress note",
    coding: [
      {
        code: "100556-0",
        system: "http://loinc.org",
        display: "Burn management Hospital Progress note",
      },
    ],
  },
  context: {
    period: {
      start: "2023-10-10T14:14:17Z",
    },
    facilityType: {
      text: "My Clinic Name - Acute Care",
    },
  },
};

const resp = await metriport.createDocumentReference("018a80c4-292a-7486-a1234-76yuhe23yu14", docRef);

// Upload the document using this url in a PUT request, something along these lines:

// const fileContent = <medical-document-document-contents>;
// await axios.put(resp.uploadUrl, document, {
//     headers: {
//         "Content-Length": <size-in-bytes>,
//     },
// });
This endpoint returns the DocumentReference ID and a URL to enable you to upload your patients’ medical documents, making them available to other HIEs.

​
Overview

To use this endpoint, you will need to follow these steps:
  1. Create a DocumentReference to describe the document that’s being uploaded (see sections below for details on the expected fields and format).
  2. Execute the endpoint and receive a URL to use for the document upload.
  3. Upload the document by executing a PUT request using the URL with a Content-Length header specifying the size of the document.
Uploads are limited to 50MB per file.

​
Query Params

​
patientId
string
required
The ID of the Patient.

​
Body

A FHIR DocumentReference.
​
type
CodeableConcept
required
A CodeableConcept of the document type.
​
description
string
required
A brief description of the document - for example Discharge Summary.
​
context
DocumentReferenceContext[]
required
Context of the document content.
Note that you do not need to include a Patient or Organization resource in the contained property, as those will be inferred on our end - if you do, they will be overwritten.
Example Payload: 
{
  description: "Third degree wrist burn treatment",
  type: {
    text: "Burn management Hospital Progress note",
    coding: [
      {
        code: "100556-0",
        system: "http://loinc.org",
        display: "Burn management Hospital Progress note"
      },
    ],
  },
  context: {
    period: {
      start: "2023-10-10T14:14:17Z",
      end: "2023-10-10T15:30:30Z",
    },
    facilityType: {
      text: "John Snow Clinic - Acute Care Centre",
    },
  },
};

​
Response

The DocumentReference ID and a URL to be used for file upload. 
{
  "documentReferenceId": "<DocumentReference-ID-string>",
  "uploadUrl": "<url-string>"
}

import { MetriportMedicalApi } from "@metriport/api-sdk";
import axios from "axios";

const metriport = new MetriportMedicalApi("YOUR_API_KEY");
const docRef: Partial<DocumentReference> = {
  description: "Third degree wrist burn treatment",
  type: {
    text: "Burn management Hospital Progress note",
    coding: [
      {
        code: "100556-0",
        system: "http://loinc.org",
        display: "Burn management Hospital Progress note",
      },
    ],
  },
  context: {
    period: {
      start: "2023-10-10T14:14:17Z",
    },
    facilityType: {
      text: "My Clinic Name - Acute Care",
    },
  },
};

const resp = await metriport.createDocumentReference("018a80c4-292a-7486-a1234-76yuhe23yu14", docRef);

// Upload the document using this url in a PUT request, something along these lines:

// const fileContent = <medical-document-document-contents>;
// await axios.put(resp.uploadUrl, document, {
//     headers: {
//         "Content-Length": <size-in-bytes>,
//     },
// });