1 Purpose
2 Specification
3 Logic
4 Filters
5 Request structure
6 Authorize
7 Headers
8 Request data validation
- 8.1 Validate token
- 8.2 Validate scopes
9 Validate patient
10 Processing
11 Response structure
12 Post-processing processes
13 HTTP status codes

Purpose

Return a list of short Encounter info filtered by search params

Specification

Link	MEDICAL EVENTS MIS API · Apiary
Resource	/api/patients/{{patient_id}}/summary/encounters
Scope	patient_summary:read
Components	Patient Summary
Microservices	API paragraph not found
Protocol type	REST
Request type	GET
Sync/Async	Async
Public/Private/Internal	Public

Logic

The endpoint returns a list of short Encounter info filtered by search params

Filters

Filter	Values	Type	Description	Example

Filter	Type	Description	Example
patient_id	String	Unique patient identifier	`7075e0e2-6b57-47fd-aff7-324806efa7e5`
date_from	String		`1990-01-01`
date_to	String		`2000-01-01`
episode_id	String		`f48d1b6c-a021-4d6a-a5a4-aee93e152ecc`
status	String		`finished`
type	String		`discharge`
class	String		`INPATIENT`
performer_speciality	String		`VIROLOGY`
page	Number	Page number	`2`
page_size	Number	A limit on the number of objects to be returned, between 1 and 100. Default: 50	`50`

Request structure

API paragraph not found

Authorize

Request to process the request using a token in the headers

Headers

Наприклад:

Content-Type:application/json
Authorization:Bearer mF_9.B5f-4.1JqM
api-key:aFBLVTZ6Z2dON1V

Request data validation

Validate token

Verify the validity of access token
- Return 401 in case validation fails
Verify token is not expired
- in case error return 401

Validate scopes

Check user scopes in order to perform this action (scope = 'patient_summary:read')
1. Return 403 in case invalid scope(s)

Validate patient

Validate patient exists in MongoDB
- In case of error return 404 not found

Processing

Get all patient's encounters
Filter using Forbidden Groups
Apply filters provided by user

Response structure

See on Apiary

Example:

{
  "meta": {
    "code": 200,
    "url": "http://example.com/resource",
    "type": "object",
    "request_id": "req-adasdoijasdojsda"
  },
  "data": [
    {
      "id": "465fb6fe-2dea-4b8a-9ef7-58379d1eaab0",
      "status": "finised",
      "date": "2018-08-02T10:45:16.000Z",
      "episode": {
        "identifier": {
          "type": {
            "coding": [
              {
                "system": "eHealth/resources",
                "code": "episode"
              }
            ]
          },
          "value": "9183a36b-4d45-4244-9339-63d81cd08d9c"
        }
      },
      "class": {
        "system": "eHealth/encounter_classes",
        "code": "inpatient"
      },
      "type": {
        "coding": [
          {
            "system": "eHealth/encounter_types",
            "code": "discharge"
          }
        ]
      },
      "performer_speciality": {
        "coding": [
          {
            "system": "SPECIALITY_TYPE",
            "code": "VIROLOGY"
          }
        ]
      }
    }
  ],
  "paging": {
    "page": 2,
    "page_size": 50,
    "total_entries": 1000,
    "total_pages": 20
  }
}

Post-processing processes