Kahuna Workforce Solutions and Trusted Works are partnering to connect validated clinical competency data with healthcare workforce scheduling, aiming to help hospitals build schedules based on both staffing demand and clinician qualifications. The integration combines Kahuna’s competency and credentialing data with Trusted Works.AI’s scheduling optimization engine to address compliance, readiness and workforce deployment within a single planning workflow.
Kahuna Workforce Solutions and Trusted Works are combining workforce competency data with scheduling optimization in a partnership aimed at helping hospitals and health systems ensure clinicians assigned to shifts have the skills and credentials required for their roles.
The collaboration connects Kahuna’s real-time clinical competency data with Trusted Works.AI, the scheduling optimization platform developed by Trusted Health. The companies say the integration is intended to address a longstanding disconnect between workforce scheduling systems and the competency information needed to determine whether an available clinician is qualified for a particular unit or assignment.
Healthcare staffing platforms have traditionally focused on coverage, availability and cost. Competency and credentialing information, meanwhile, can reside in separate systems. That separation can force nurse leaders and staffing teams to manually verify qualifications after schedules have been constructed.
The partnership moves competency validation closer to the scheduling decision itself.
Trusted Works.AI uses factors such as unit requirements, employee preferences and coverage forecasts to build and rebalance schedules. Kahuna contributes validated competency and certification information, allowing the combined workflow to consider whether a clinician meets the requirements for a particular role and care setting.
The result is what the companies describe as skills-aware scheduling. Rather than determining only whether a shift has sufficient coverage, the system can factor in whether the people selected for that coverage have the appropriate validated capabilities.
For health systems, this can have implications for both compliance and patient safety. Assigning a clinician to a role or unit without the required competency can create operational and regulatory exposure. Incorporating competency information before a schedule is published is intended to reduce the need for manual checks and identify potential issues earlier.
The integration also targets administrative workload. Nurse managers and staffing offices can spend significant time reconciling availability, schedules, credentials and competency records. Connecting those datasets can reduce the need to manually cross-reference workforce information when building schedules.
The approach is particularly relevant as hospitals look for ways to make greater use of internal float pools and flexible staffing models. Flexible labor can help health systems respond to fluctuating patient demand while reducing dependence on external staffing agencies, but only if organizations can determine where individual clinicians are qualified to work.
Validated skills data can provide an additional layer of control for these workforce strategies. A larger internal talent pool becomes more useful when staffing teams can quickly identify which employees are ready for specific units and assignments.
The partnership therefore represents a convergence between healthcare workforce management, skills intelligence and scheduling technology. Rather than treating competency management as a separate compliance process, the model embeds skills information into an operational workforce decision.
That direction is consistent with a broader HR technology trend toward skills-based workforce management. Organizations are increasingly attempting to understand not just who is available, but what each worker can do, where those skills are validated and how they align with changing operational requirements.
In healthcare, the stakes are particularly high because workforce deployment directly intersects with patient care. Scheduling technology must balance demand, labor availability, employee preferences, cost and compliance while ensuring that assignments match clinical requirements.
Kahuna and Trusted Works are positioning their integration as a way to bring those considerations together. The combined system is designed to give workforce leaders a more complete view of available talent, validated qualifications and workforce deployment.
For HR, nursing operations and workforce management leaders, the significance extends beyond scheduling automation. Connecting skills data to workforce decisions could allow health systems to make more informed use of existing talent pools while improving visibility into readiness and potential staffing gaps.
The partnership also illustrates how healthcare HR technology is evolving from systems that record workforce information toward systems that use that information at the point of operational decision-making.
Market Landscape
Healthcare workforce technology is increasingly moving toward skills-based staffing as hospitals balance labor shortages, patient demand, compliance requirements and cost pressures. Scheduling optimization alone can improve coverage, but it does not necessarily determine whether the available workforce is qualified for each assignment.
The Kahuna-Trusted Works partnership connects skills intelligence, credentialing, workforce scheduling and healthcare compliance. This reflects a broader HRTech shift toward using validated skills data to inform real-time workforce decisions rather than maintaining competency records solely for compliance reporting.
Top Insights
- Kahuna and Trusted Works are connecting validated clinical competency data with AI-powered healthcare workforce scheduling.
- The integration is designed to ensure staffing decisions account for qualifications alongside availability, coverage requirements and employee preferences.
- Skills-aware scheduling could reduce manual credential checks and identify compliance risks before schedules are published.
- Connected competency data can help hospitals use internal float pools and flexible staffing while maintaining readiness standards.
- The partnership reflects a broader move toward skills-based workforce management and real-time talent deployment.
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