{
  "docId": "019dd923-5ca1-7489-b638-e91d3b8478cc",
  "docSlug": "9fbedbfea0231cbe",
  "documentTitle": "AI Healthcare Errors",
  "authorId": "McKinsey",
  "authorName": "McKinsey",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.333,
  "pageNumber": 16,
  "pageCount": 26,
  "prevPage": 15,
  "nextPage": 17,
  "slideType": "case_study",
  "function": "illustrate_case",
  "density": "balanced",
  "nDataPoints": 2,
  "notes": "The slide uses a technical diagram to explain the 'how' behind the operational improvements.",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "callout_box",
    "process_diagram"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b638-e91d3b8478cc/16",
  "deckHref": "/decks/019dd923-5ca1-7489-b638-e91d3b8478cc",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b638-e91d3b8478cc.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b638-e91d3b8478cc#slide-16",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Up to 50% fewer FTEs in A&E; 40-50% shorter patient waiting time",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-d3bc-73c4-a2b9-d12ce52ff354",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.55,
        "x": 0.08,
        "y": 0.34
      },
      "kind": "image",
      "text": "TeleTracking Real-Time Locating System diagram",
      "attrs": null,
      "subkind": "infographic",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d608b05b-c914-4f6d-ba61-3ec9477eb0dd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.55,
        "x": 0.08,
        "y": 0.225
      },
      "kind": "list",
      "text": "Real-time tracking improves data availability and accuracy, allowing for better capacity utilization and automation of routine administration activities",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "93a07036-aca0-4914-acaa-af83e118bab8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.25,
        "x": 0.68,
        "y": 0.225
      },
      "kind": "list",
      "text": "Up to 50% fewer FTEs in A&E\n40-50% shorter patient waiting time",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b4f16533-62e1-462e-ae29-6191a10ee698",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "A&E headcount reduction: 50%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-d3bc-73c4-a2b9-d63897b4db7e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.9,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "Tracking hospital operations in real-time allows automation, reducing A&E headcount by up to 50% and cutting patient waiting times in half",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "01da1434-3f85-4007-8c67-cbae6a8f58e3",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "A&E headcount reduction",
      "numberRaw": "50%",
      "numberKind": "percent",
      "actionTitle": "Tracking hospital operations in real-time allows automation, reducing A&E headcount by up to 50% and cutting patient waiting times in half",
      "calloutText": "Up to 50% fewer FTEs in A&E; 40-50% shorter patient waiting time",
      "numberScale": null,
      "numberValue": 50,
      "metricFamily": "employment",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Before-After-Bridge",
      "slug": "before-after-bridge",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "07e7ebf0-0d79-4f40-b376-14badd51e603",
      "evidence": "Up to 50% fewer FTEs in A&E; 40-50% shorter patient waiting time",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 26,
      "from": 10,
      "beatId": "9b6e4ffe-95ca-40d4-92d5-70f2cd8f60f8",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Solution (Provide relief)",
      "beatSlug": "problem-agitate-solution-solution-provide-relief",
      "evidence": "The deck offers AI as a solution to prevent healthcare errors and improve patient outcomes.",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}