{
  "docId": "019f6b8f-3688-75f9-b14b-82f50c3e0c34",
  "docSlug": "jarvis-mckinsey-forecasting-hca-healthcare-ebitda-growth",
  "documentTitle": "McKinsey Forecasting HCA Healthcare EBITDA Growth",
  "authorId": "mckinsey-forecasting-hca-healthcare-ebitda-growth",
  "authorName": null,
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": null,
  "aspectRatio": null,
  "pageNumber": 42,
  "pageCount": 80,
  "prevPage": 41,
  "nextPage": 43,
  "slideType": "other",
  "function": "decompose_segments",
  "density": "sparse",
  "nDataPoints": 11,
  "notes": "The slide uses a hierarchical tree structure to map financial drivers.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019f6b8f-3688-75f9-b14b-82f50c3e0c34/42",
  "deckHref": "/decks/019f6b8f-3688-75f9-b14b-82f50c3e0c34",
  "deckJsonHref": "/decks/019f6b8f-3688-75f9-b14b-82f50c3e0c34.json",
  "deckAnchorHref": "/decks/019f6b8f-3688-75f9-b14b-82f50c3e0c34#slide-42",
  "components": [
    {
      "bbox": {
        "h": 0.7,
        "w": 0.9,
        "x": 0.05,
        "y": 0.15
      },
      "kind": "diagram",
      "text": "Hierarchical decomposition tree of bad debt expense drivers",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8dd400b2-9c60-4875-a971-b14505790f1b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.8,
        "x": 0.05,
        "y": 0.9
      },
      "kind": "paragraph",
      "text": "* Collections percentage is off of collectibles, which is ~12% higher than net revenue due the to fact that certain collectibles are eventually categorized as charity care or as uninsured discount",
      "attrs": null,
      "subkind": "disclaimer",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8acf0f83-7579-4bb5-bdc9-1d8adbc052c7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.8,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "BAD DEBT GROWTH CAN BE ESTIMATED USING A SET OF INPUTS",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0420cbe9-41ef-48cb-9c43-62d94b47e842",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Decomposition",
      "slug": "decomposition",
      "agent": null,
      "layer": "slide",
      "matchId": "e2cc808a-f4c1-4eef-a008-7a9a8c96d714",
      "evidence": "diagram/process: Hierarchical decomposition tree of bad debt expense drivers",
      "confidence": 0.7
    }
  ],
  "frameworks": [
    {
      "name": "decomposition",
      "slug": null,
      "matchId": "a4f614cb-ff8f-483a-875b-49b8f4133924",
      "evidence": "The slide breaks down a high-level metric (bad debt expense) into its constituent drivers.",
      "confidence": 1
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}