Did you miss Ardent Partners’ recent FOWX podcast featuring a discussion with Kelly Rakowski, CEO of Trio Workforce Solutions? The conversation tackled the impact of the extended workforce in healthcare, the pathways ahead for AI in workforce management, and how VMS platforms are serving as “strategic hubs” for contingent workforce management.
In Part Three of this three-part article series, we highlight the major discussion points and a link to the full event.
Why VMS Technology and AI Are Becoming the Strategic Core of Healthcare Workforce Management
Healthcare has reached an inflection point where workforce management, technology, and artificial intelligence are converging to reshape how organizations staff, operate, and care for patients. Vendor management systems (VMS), once viewed as back-office infrastructure for processing contingent labor orders, have now evolved into strategic platforms powering the Future of Work in healthcare. As Trio Workforce Solutions CEO Kelly Rakowski explains, the modern VMS has become a mission-critical hub capable of orchestrating labor strategies across permanent, flexible, and contingent staffing pools, while also harnessing the power of data, automation, and AI to drive smarter, faster decisions.
Traditionally, VMS platforms in the staffing industry emerged to support the operational mechanics of contingent workforce programs: job postings, candidate submittals, credentialing workflows, timekeeping, and invoicing. In healthcare, these functions were vital but insufficient. The sector’s high-stakes requirements including rigorous licensing, clinical credentialing, patient safety standards, and the need for precise experience matching, demanded more specialized technology. Yet for years, VMS adoption in healthcare lagged, and systems were often disconnected from clinical workflows and broader workforce strategy.
That reality has fundamentally changed. The pandemic exposed the limitations of manual processes, fragmented systems, and visibility gaps. Health systems now see contingent labor not as a temporary supplement, but as an essential component of workforce resiliency. Meanwhile, new flexible labor models (e.g., float pools, internal agencies, gig-based marketplaces, and telehealth staffing) require integrated visibility that no spreadsheet or siloed tool can provide.
VMS as a True Command Center
Modern VMS platforms, like Trio’s, have emerged as strategic engines for workforce orchestration. They are no longer passive systems; they are active decision-support platforms that connect supply, demand, credentials, shift data, and financials into a unified ecosystem. According to Rakowski, healthcare organizations increasingly want to manage all workforce modalities (not just contingent talent) within the same platform so they can optimize deployment, minimize premium labor, and make real-time staffing decisions based on predictive needs.
Integration. Integration is at the center of this evolution. Instead of functioning as standalone systems, VMS platforms now interface with HRIS systems, scheduling software, EMRs, payroll systems, and enterprise financial tools. This two-way data flow transforms the VMS into a true command center capable of providing real-time analytics, workforce forecasting, and proactive talent matching. For healthcare leaders, this is invaluable: sudden patient surges, unit-level census shifts, and seasonal fluctuations can be anticipated and addressed before they escalate into staffing crises.
Artificial intelligence. AI amplifies this capability. AI is rapidly becoming the catalyst for the next generation of VMS, offering powerful applications across clinical and staffing workflows. Trio, for example, is deploying AI across three critical domains: candidate submissions, timecard analysis, and contract interpretation.
AI-driven submission evaluation is perhaps the most transformative. Instead of relying solely on manual review, AI agents analyze job requirements, clinician experience, licensure, certifications, and clinical competence to identify the strongest matches instantly. This not only accelerates hiring but increases precision, meaning better fit, reduced turnover, and safer care environments.
Digital workers automating timecard analysis address another chronic pain point in healthcare. Because many health systems still rely on paper timecards or fragmented systems, managers spend hours verifying accuracy and reconciling discrepancies. AI can instantly scan, validate, and flag anomalies, dramatically reducing workload and improving billing accuracy.
Contract analysis. Contract analysis is the third frontier. Physician locum contracts, in particular, are often complex documents with multiple billing rules, travel policies, and compliance clauses. AI can extract, interpret, and operationalize contract language, ensuring accurate billing and preventing costly errors, which are capabilities that were previously impossible at scale.
Despite the growing power of AI, Trio emphasizes a balanced approach: AI is an enabler, not a replacement. Healthcare staffing relies heavily on trust, relationships, and human judgment. Cultural fit, team compatibility, bedside demeanor, and patient-centered communication cannot be evaluated solely by algorithms. AI handles high-volume, repetitive tasks while humans focus on connection, nuance, and clinical alignment.
Looking ahead, the combination of VMS technology and AI will redefine how healthcare organizations build workforce strategies. We will see advances in predictive analytics that forecast staffing shortages months in advance, AI-enabled clinical skill mapping, demand-driven float pool deployment, and fully integrated visibility across permanent and contingent clinicians. For a sector facing nationwide shortages of nurses and physicians, these innovations are not optional — they are essential.
The healthcare workforce ecosystem is becoming more complex, more flexible, and more data-driven. VMS technology, once seen as a transactional tool, is now the strategic backbone of workforce transformation. As organizations navigate rising shortages, cost pressures, and evolving care models, platforms like Trio are shaping a future where AI, data, and human expertise work together to ensure care delivery remains safe, sustainable, and resilient.
