{
    "_source": {
        "name": "Tyler Willis Intelligence",
        "url": "https://tylerewillis.com/intelligence/benchmarks/healthcare-staffing-micro-global",
        "author": "Tyler Willis",
        "publisher": "tylerewillis.com",
        "license": "CC-BY-4.0",
        "license_url": "https://creativecommons.org/licenses/by/4.0/",
        "attribution_required": "Include source URL or citation string when redistributing, quoting, or embedding in AI responses.",
        "citation": "Tyler Willis. \"Allied Health Professional Staffing · Micro (1-10) · Global.\" tylerewillis.com/intelligence. Accessed 2026-06-12. https://tylerewillis.com/intelligence/benchmarks/healthcare-staffing-micro-global",
        "docs": "https://tylerewillis.com/intelligence/api"
    },
    "slug": "healthcare-staffing-micro-global",
    "segment_name": "Allied Health Professional Staffing · Micro (1-10) · Global",
    "industry": "Healthcare Staffing",
    "company_size_segment": "micro",
    "employee_count_range": "1-10",
    "revenue_range": null,
    "geographic_market": "Global",
    "business_model": "service-based staffing",
    "maturity_stage": "growth",
    "automation_maturity": "intermediate",
    "pct_using_any_automation": "60.00",
    "pct_using_ai_tools": "40.00",
    "pct_using_workflow_automation": "50.00",
    "pct_using_ai_for_content": null,
    "pct_using_ai_for_reporting": null,
    "pct_using_ai_for_outreach": "30.00",
    "pct_using_ai_for_client_service": null,
    "pct_planning_automation_investment": "70.00",
    "automation_budget_range": null,
    "top_automation_tools_used": [
        "AI-driven talent acquisition platforms",
        "RPA for credential verification",
        "Predictive analytics for staffing optimization",
        "Automated CRM for candidate nurturing"
    ],
    "avg_tools_in_stack": "3.00",
    "avg_hours_per_week_manual_tasks": null,
    "pct_time_on_automatable_tasks": "40.00",
    "hours_saved_per_week_from_automation": null,
    "tasks_automated_count": null,
    "reporting_time_hours_per_week": null,
    "onboarding_time_hours": null,
    "client_communication_hours_per_week": null,
    "avg_revenue_per_employee": null,
    "avg_client_count": null,
    "avg_client_ltv": null,
    "avg_monthly_retainer": null,
    "avg_profit_margin_pct": null,
    "automation_roi_reported": "20.00",
    "churn_rate_monthly": null,
    "cac": null,
    "avg_client_acquisition_channels": [
        "online job platforms",
        "referrals",
        "social media campaigns",
        "automated email marketing"
    ],
    "pct_referral_driven": "30.00",
    "avg_proposal_conversion_rate": null,
    "avg_sales_cycle_days": null,
    "primary_bottleneck": "candidate sourcing and screening speed",
    "top_pain_points": [
        "talent shortage",
        "high cost of external staffing",
        "manual credential verification",
        "insufficient staffing during peak demand",
        "candidate nurturing and engagement"
    ],
    "top_growth_levers": [
        "automation of sourcing and screening",
        "predictive workforce optimization",
        "career marketing automation",
        "hybrid automation models combining AI and RPA"
    ],
    "benchmark_index_score": "55.00",
    "automation_opportunity_gap": "45.00",
    "predicted_growth_rate": "8.00",
    "ai_insights_summary": "Top performers in allied health professional staffing leverage hybrid AI and RPA automation to accelerate candidate sourcing and credential verification, achieving measurable ROI by reducing time-to-fill and improving quality of hire. They also invest heavily in predictive workforce optimization and career marketing automation to maintain competitive advantage and operational agility.",
    "data_collection_date": "2026-05-26",
    "data_collection_method": "secondary research from industry reports and trend analyses",
    "source_url": null,
    "source_credibility": "secondary",
    "sample_size": null,
    "geographic_scope": "global",
    "statistical_confidence": "0.70",
    "outlier_flag": 0,
    "created_at": "2026-05-26 03:30:17",
    "updated_at": "2026-06-11 05:31:16",
    "uuid": "aecede96-58e9-11f1-b032-525400d81b6e"
}