Case Studies
VS
Report Data

Mr. Problem

Medical Admin

WebApp

[
  {
    "id": "3c0285ef-3296-4146-b163-21d13ea36159",
    "icd10": "B35",
    "name": "Illnesses_name_3c0285ef-3296-4146-b163-21d13ea36159",
    "probability": 20.751346153846157,
    "ageScore": 25,
    "genderScore": 50,
    "excluded": false,
  },
  {
    "id": "8474dc8e-34a2-46e0-ac3d-f502c8167610",
    "icd10": "T78.1",
    "name": "Illnesses_name_8474dc8e-34a2-46e0-ac3d-f502c8167610",
    "groupId": "8c7a2e35-036b-4a9d-b2f3-5a435b2c7d02",
    "probability": 21.527966101694915,
    "ageScore": 50,
    "genderScore": 50,
    "excluded": false,
  },
  {
    "id": "afe7c7ba-4cda-4457-959f-f6539ceb4b0b",
    "icd10": "L21.0",
    "name": "Illnesses_name_afe7c7ba-4cda-4457-959f-f6539ceb4b0b",
    "probability": 54.747499999999995,
    "ageScore": 25,
    "genderScore": 75,
    "excluded": false,
  },
  {
    "id": "f96651f9-ef20-48fd-8777-f9a062a9d133",
    "icd10": "T78.40",
    "name": "Illnesses_name_f96651f9-ef20-48fd-8777-f9a062a9d133",
    "groupId": "8c7a2e35-036b-4a9d-b2f3-5a435b2c7d02",
    "probability": 24.43173076923077,
    "ageScore": 75,
    "genderScore": 50,
    "excluded": false,
  }
]

Check: data.illnesses

{
  "categoryId": "e1d58039-dace-44f9-8e06-36a83c04bab3",
  "illnesses": [
    {
      "id": "afe7c7ba-4cda-4457-959f-f6539ceb4b0b",
      "icd10": "L21.0",
      "probability": 54.747499999999995,
      "groupId": null,
      "groupCategoryId": null,
      "name": {
        "code": "Illnesses_name_afe7c7ba-4cda-4457-959f-f6539ceb4b0b"
      }
    }
  ]
}
{
  "categoryId": "a0c27e63-2bd5-41e3-83ce-dee56873ee30",
  "illnesses": [
    {
      "id": "f96651f9-ef20-48fd-8777-f9a062a9d133",
      "icd10": "T78.40",
      "probability": 24.43173076923077,
      "groupId": "8c7a2e35-036b-4a9d-b2f3-5a435b2c7d02",
      "groupCategoryId": "c57c1222-2ab2-4a4d-a64a-13e0b35abc93",
      "name": {
        "code": "Illnesses_name_f96651f9-ef20-48fd-8777-f9a062a9d133"
      }
    }
  ]
}
{
  "categoryId": "c9cf1ff1-20d3-4f02-be48-9eb89aa0e46c",
  "illnesses": [
    {
      "id": "3c0285ef-3296-4146-b163-21d13ea36159",
      "icd10": "B35",
      "probability": 20.751346153846157,
      "groupId": null,
      "groupCategoryId": null,
      "name": {
        "code": "Illnesses_name_3c0285ef-3296-4146-b163-21d13ea36159"
      }
    }
  ]
}

Check: reportData.illnessCategories.illnesses

Reason

In Case Studies:

  • We show the normal data.illnesses to display all possible illnesses for analyses. It contains all excluded illnesses and all illnesses from all groups. Therefore the normal Case Study performance calculation uses this data.

  • For Urgency calculation we are using reportData...illnesses so we calculate urgency and its performance the same way as on the WebApp.

In WebApp:

  • We are using the reportData...illnesses which only contains the excluded illnesses and only the most probable from each group.