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How AI can Improve Healthcare Resource Utilization
FREMONT, CA: Improving operational efficiency has emerged as a top concern for healthcare facilities as they seek more predictive ways to manage and allocate resources in the face of rising demand for their services.
Many of them are now turning to AI as a crucial enabler of a more progressive approach, allowing them to plan their logistical responses based on the most recent data – while remaining focused on delivering high-quality end-to-end patient care.
Challenges for healthcare providers
At each point of the patient journey, providers must be able to maintain a steady flow of patients and visitors and meet it with appropriate resources, such as clinical staff, hospital beds, and operating theaters.
If these difficulties are not appropriately addressed, the operational consequences can be severe: disgruntled patients and inefficient and costly resource utilization. Long lines form at more crowded places due to inconsistent patient flows. Other service facilities sit idle, using power and personnel resources while waiting for patients to arrive.
Leveraging AI to Address These Obstacles
In response to this common scenario, data scientists from NCS' AI team created the Enterprise Schedule Optimisation Platform, a schedule optimization tool that demonstrates how AI can plan more successfully than humans as demand for healthcare services develops.
Healthcare administrators can only interact with a limited amount of data points at the same time. However, AI can compute exponential permutations from a virtually infinite stream of data points, constructing predictive models that enable real-time operational reaction from the provider while also assisting them in future resource allocation planning.
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