{
  "entityType": "role",
  "schemaVersion": "role.v1",
  "slug": "role-29-1299-00",
  "socCode": "29-1299.00",
  "title": "Healthcare Diagnosing or Treating Practitioners, All Other",
  "summary": "All healthcare diagnosing or treating practitioners not listed separately.",
  "aliases": [
    "Acupressurist",
    "Acupuncturist",
    "Aurist",
    "Cardiologist",
    "Cardiovascular Disease Specialist",
    "Clinical Fellow",
    "Colon Therapist",
    "Corrective Therapist",
    "Corrective and Manual Arts Therapist",
    "County Health Officer",
    "Diagnostician",
    "Doctor"
  ],
  "tasks": [],
  "emergingTasks": [],
  "activities": [],
  "capabilities": [],
  "skills": [],
  "tools": [],
  "workContext": [],
  "preparation": {
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  "personFit": [],
  "relatedRoles": [],
  "careerClusters": [
    {
      "cluster": "Healthcare & Human Services",
      "slug": "healthcare-human-services"
    }
  ],
  "educationLevel": {
    "category": "Master's degree",
    "slug": "master-s-degree"
  },
  "studyPrograms": [
    {
      "title": "Health Professions and Related Programs",
      "slug": "health-professions-and-related-programs"
    }
  ],
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    "meanWage": 128680,
    "pct10Wage": 65210,
    "pct25Wage": 83350,
    "pct75Wage": 161350,
    "pct90Wage": 194000,
    "employment": 30870,
    "areaTitle": "U.S."
  },
  "industries": {
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        "slug": "61",
        "title": "Educational Services",
        "level": "Sector",
        "employment": 1010,
        "medianWage": 78630,
        "lq": 0.37
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      {
        "naics": "52",
        "slug": "52",
        "title": "Finance and Insurance",
        "level": "Sector",
        "employment": 130,
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        "lq": 0.1
      },
      {
        "naics": "56",
        "slug": "56",
        "title": "Administrative and Support and Waste Management and Remediation Services",
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        "employment": 100,
        "medianWage": 67000,
        "lq": 0.06
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      {
        "naics": "55",
        "slug": "55",
        "title": "Management of Companies and Enterprises",
        "level": "Sector",
        "employment": 90,
        "medianWage": 90250
      },
      {
        "naics": "524114",
        "slug": "524114",
        "title": "Direct Health and Medical Insurance Carriers",
        "level": "National industry",
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        "medianWage": 119940
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      {
        "naics": "621420",
        "slug": "621420",
        "title": "Outpatient Mental Health and Substance Abuse Centers",
        "level": "National industry",
        "employment": 60
      },
      {
        "naics": "31-33",
        "slug": "31-33",
        "title": "Manufacturing",
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        "employment": 40,
        "medianWage": 105930
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      {
        "naics": "42",
        "slug": "42",
        "title": "Wholesale Trade",
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        "employment": 30,
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      },
      {
        "naics": "44-45",
        "slug": "44-45",
        "title": "Retail Trade",
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        "medianWage": 79720
      },
      {
        "naics": "456110",
        "slug": "456110",
        "title": "Pharmacies and Drug Retailers",
        "level": "National industry",
        "medianWage": 86290
      },
      {
        "naics": "624120",
        "slug": "624120",
        "title": "Services for the Elderly and Persons with Disabilities",
        "level": "National industry",
        "medianWage": 37460
      },
      {
        "naics": "81",
        "slug": "81",
        "title": "Other Services (except Public Administration)",
        "level": "Sector",
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    ],
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      {
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      {
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    "count": 12
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  "aiSignals": [],
  "aiOutlook": {
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      "percentile": 59,
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      "version": "ai-exposure-index-v1",
      "components": [
        {
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          "source": "openai_gpts_are_gpts"
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          "percentile": 44,
          "source": "microsoft_working_with_ai"
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      "componentCount": 2
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        "label": "LLM task exposure, γ (OpenAI / Eloundou)",
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        "percentile": 75,
        "band": "High",
        "note": "Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank."
      },
      {
        "source": "microsoft_applicability",
        "label": "AI assistant applicability (Microsoft)",
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        "percentile": 44,
        "band": "Moderate",
        "note": "How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement."
      }
    ],
    "eloundou": {
      "alpha": 0.1875,
      "beta": 0.53125,
      "gamma": 0.875
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    "usageTasks": [],
    "bls": {
      "growthPercent": 2,
      "growthPercentile": 40,
      "direction": "About average",
      "annualOpeningsThousands": 2.4,
      "annualOpeningsPercentile": 31,
      "employment2024Thousands": 41.3,
      "employment2034Thousands": 42.2
    },
    "sources": [
      {
        "source": "bls_employment_projections",
        "version": "2024-2034"
      },
      {
        "source": "microsoft_working_with_ai",
        "version": "working-with-ai"
      },
      {
        "source": "openai_gpts_are_gpts",
        "version": "gpts-are-gpts"
      }
    ]
  },
  "counts": {
    "tasks": 0,
    "skills": 0,
    "capabilities": 0,
    "tools": 0,
    "relatedRoles": 0
  },
  "source": {
    "dataset": "gold.onet_role_starter_surface",
    "version": "30.3",
    "generatedAt": "2026-06-02T21:00:32.945303+00:00",
    "contentHash": "d8ededb4f64ac532"
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}