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Benchmarks · Healthcare Staffing

Healthcare Staffing Agencies · Micro (1-10) · US

Micro (2-5) US Intermediate maturity

45% Automation Opportunity Gap

This is the delta between where the segment is today and where it could be if automation were deployed against the work that's actually automatable. The higher the number, the more opportunity is on the table for operators in this segment.

"Top performers in healthcare staffing micro-agencies leverage AI-driven automation to reduce time-to-fill and credentialing bottlenecks, improving candidate experience and retention. They combine technology with human expertise and strategic offshore support, focusing on measurable KPIs like time-to-start and candidate quality to optimize staffing outcomes."

Maintained by Tyler Willis · Automation Benchmarks · Updated · CC-BY-4.0 — cite this work

Methodology & sources

Where this data comes from and how to read it.

Collection methodSecondary research from industry reports and expert blogs
Source credibilitySecondary
Statistical confidence70%
Data vintageMay 2026
Geographic scopeUS

Automation adoption

What percentage of this segment is using each category of automation today.

  • Using any automation: 80.0%
  • Using AI tools: 65.0%
  • Planning to invest in next 12mo: 81.0%

Top tools in use: AI-driven talent acquisition systems, Credentialing automation tools, Document collection and reminder automation, Agentic AI for scheduling and communication

Financial metrics

Revenue, retention, and profitability signals for the segment.

  • Reported ROI from automation: 15.0x

Growth & operations

How operators in this segment win — and what holds them back.

  • Avg sales cycle (days): 83

Top acquisition channels: Referrals, Online job boards, Direct outreach

Primary bottleneck: Credentialing and communication speed

Recurring pain points:

  • Long time-to-fill clinical roles
  • High administrative burden
  • Credential verification delays
  • Staffing shortages

What top performers do differently:

  • Automation of credentialing and communication
  • AI-enhanced recruiting workflows
  • Internal talent pools
  • Improved candidate experience

Benchmark Index

Composite score comparing this segment to every other tracked segment.

55 /100

Take the raw data

Full segment dataset as CSV or JSON, plus API access — for client presentations, board decks, or building on top of it.

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Other Healthcare Staffing segments

Same industry, different size or geography. Useful for cross-comparison.

Specialty Professional Services · Small (1-10) · US Eastern Seaboard 60% gap

40% currently using automation

 Allied Health Professional Staffing · Micro (1-10) · Global 45% gap

60% currently using automation

Cite this work

This entry is part of the Tyler Willis Intelligence public dataset and licensed under CC-BY-4.0. You're free to quote, redistribute, and feed it into AI systems — please carry the source URL or one of the citation strings below. 

Willis, Tyler. "Healthcare Staffing Agencies · Micro (1-10) · US." *Automation Benchmarks*, tylerewillis.com/intelligence, accessed June 12, 2026. <https://tylerewillis.com/intelligence/benchmarks/healthcare-staffing-micro-us>
Willis, T. (2026). Healthcare Staffing Agencies · Micro (1-10) · US. Tyler Willis Intelligence — Automation Benchmarks. Retrieved June 12, 2026, from https://tylerewillis.com/intelligence/benchmarks/healthcare-staffing-micro-us
@misc{willis_benchmarks_healthcare_staffing_micro_us,
  author       = {Willis, Tyler},
  title        = {{Healthcare Staffing Agencies · Micro (1-10) · US}},
  howpublished = {Tyler Willis Intelligence --- Automation Benchmarks},
  year         = {2026},
  url          = {https://tylerewillis.com/intelligence/benchmarks/healthcare-staffing-micro-us},
  note         = {Accessed June 12, 2026. CC-BY-4.0.}
}
curl -s https://tylerewillis.com/intelligence/api/benchmarks/healthcare-staffing-micro-us.json | jq

Every JSON response carries a _source block with the canonical URL and citation string. Programmatic consumers: read that field.

For operators in this segment

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