The combination of powerGraph (KGNN) and IBM Power Systems can help
Here are the key ways this system can increase care quality:
1. Optimized and Clinical-Quality Staffing
Intelligent Competency Matching: The KGNN can map a nurse/doctor comprehensive profile (credentials, experience, training, soft skills) against the specific, real-time clinical needs of a hospital unit and its patient mix (e.g., a complex ICU with a high volume of ventilator patients). This goes beyond simple license-matching to ensure the best-fit clinician is placed, directly improving care quality.
Predictive Staffing for Patient Safety: Leveraging the high-performance analytics of
, the system can analyze historical data (e.g., shift cancellations, patient census, severity-of-illness scores) to predict future staffing shortfalls or competency gaps. This allows AMN to proactively fill roles, ensuring facilities maintain safe patient-to-staff ratios and reducing the risk of burnout or error.IBM Power Systems Reduced Time-to-Fill (Speed): By fusing data on the secure, reliable IBM Power platform, the solution accelerates the entire candidate journey—from screening to placement—which is crucial for rapidly responding to urgent clinical needs and ensuring uninterrupted care delivery.
2. Enhanced Clinical Decision Support
Real-Time Data Access for Providers: The powerGraph can bridge critical enterprise data (often residing on Power Systems) with modern X86/cloud-based AI tools. This allows clinicians to instantly access relevant, highly-secure organizational data (like internal best practices or facility-specific protocols) that augment
.Clinical Decision Support Systems (CDSS) AI-Driven Administrative Relief: As AMN highlights,
(like documentation and triage). By processing this AI-generated data securely on the IBM Power platform, the solution frees up nurses to focus more energy on direct patient interaction, which is a core component of high-quality care.AI can streamline administrative burdens
3. Continuous Quality Improvement
Identifying Care Gaps: The KGNN can cross-reference data on staff training, compliance incidents, and patient outcomes. This enables AMN to identify systemic knowledge or skills gaps in the deployed workforce, leading to targeted training and professional development, which improves the overall quality of care provided by their network.
High-Availability for Critical Systems:
are known for high reliability. Hosting the central workforce data and fusion layer on this platform ensures that the critical staffing and compliance systems remain operational, preventing outages that could directly compromise a facility's ability to maintain patient care.IBM Power Systems
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