{
    "_source": {
        "name": "Tyler Willis Intelligence",
        "url": "https://tylerewillis.com/intelligence/benchmarks/healthcare-mid-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. \"Healthcare Providers · Mid.\" tylerewillis.com/intelligence. Accessed 2026-06-12. https://tylerewillis.com/intelligence/benchmarks/healthcare-mid-global",
        "docs": "https://tylerewillis.com/intelligence/api"
    },
    "slug": "healthcare-mid-global",
    "segment_name": "Healthcare Providers · Mid",
    "industry": "Healthcare",
    "company_size_segment": "mid",
    "employee_count_range": null,
    "revenue_range": null,
    "geographic_market": "Global",
    "business_model": null,
    "maturity_stage": "established",
    "automation_maturity": "advanced",
    "pct_using_any_automation": "64.00",
    "pct_using_ai_tools": "51.00",
    "pct_using_workflow_automation": null,
    "pct_using_ai_for_content": null,
    "pct_using_ai_for_reporting": null,
    "pct_using_ai_for_outreach": "49.00",
    "pct_using_ai_for_client_service": null,
    "pct_planning_automation_investment": null,
    "automation_budget_range": null,
    "top_automation_tools_used": [
        "AI-driven candidate screening",
        "Automated referral intake",
        "Eligibility verification automation",
        "Scheduling and reminders automation",
        "AI contract review tools"
    ],
    "avg_tools_in_stack": null,
    "avg_hours_per_week_manual_tasks": null,
    "pct_time_on_automatable_tasks": null,
    "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": "10.00",
    "churn_rate_monthly": null,
    "cac": null,
    "avg_client_acquisition_channels": null,
    "pct_referral_driven": null,
    "avg_proposal_conversion_rate": null,
    "avg_sales_cycle_days": null,
    "primary_bottleneck": "Staffing shortages impacting care delivery and safety standards",
    "top_pain_points": [
        "Staffing gaps causing delays",
        "High administrative workload",
        "Fragmented systems and workflows",
        "Regulatory compliance complexity"
    ],
    "top_growth_levers": [
        "Automation across sourcing, screening, and engagement",
        "Standardization of processes before automation",
        "Integration of data and workflows across systems",
        "Use of AI for predictive analytics and patient engagement"
    ],
    "benchmark_index_score": "75.00",
    "automation_opportunity_gap": "40.00",
    "predicted_growth_rate": null,
    "ai_insights_summary": "Top performers in mid-sized healthcare providers leverage advanced AI and automation to streamline staffing workflows, reduce administrative burdens, and improve patient access and engagement. They focus on integrating automation across multiple departments and emphasize measurable outcomes, achieving significant ROI and operational efficiency compared to peers.",
    "data_collection_date": "2026-05-25",
    "data_collection_method": "Secondary analysis of industry reports and case studies",
    "source_url": null,
    "source_credibility": "secondary",
    "sample_size": null,
    "geographic_scope": "Global",
    "statistical_confidence": "0.70",
    "outlier_flag": null,
    "created_at": "2026-05-24 06:49:26",
    "updated_at": "2026-06-11 05:31:14",
    "uuid": "e9c2b485-589f-11f1-b032-525400d81b6e"
}