These types of AI-powered clinical solutions can also address the very critical issue of workforce burden and burnout. Implementing critical AI-driven tools can help short-staffed critical care nurses and doctors streamline communication and prioritize where to focus attention, by providing immediate access to aggregated, trended patient data on one screen. This helps alleviate pressure on nurses to clearly articulate issues after witnessing a few events that might not have surfaced during physician rounds. These solutions paint the picture automatically, so nurses can simply show the visualization of what they are observing.

Furthermore, as increasing demand for resources (beds and clinicians) in critical care settings has become the new norm, it’s more important than ever to know when to both escalate and de-escalate care. The EHR also relies on providers to enter data correctly and consistently, which can be challenging in a stressful environment with many competing priorities. There’s also significant cognitive burden required on the part of the provider to locate the data they need and analyze it in a meaningful way. Utilizing FDA-cleared risk algorithms that leverage AI-based physiology-specific deterioration pathways will assess patient data and show clinicians how the patient is trending. This tool allows providers to quickly identify high-risk patients who may need closer monitoring, but also just as importantly, to identify those patients who are doing well and may be ready for de-escalation.


A learning health system
According to the Agency of Healthcare Research and Quality, a Learning Health System is an approach to healthcare that leverages real-world data and evidence to build a culture of continuous learning and improvement. There is another important benefit hospitals are realizing as a result of implementing comprehensive AI platform solutions. These tools are quickly becoming the backbone of their learning health system in the ICU to drive the continuous flow of collecting data and therefore also continuously improving outcomes. Today, in a way like never before, hospital leaders and clinicians can see which clinical practices are effective, which protocols are being adhered to and what improvements need to be made. By leveraging this powerful data and putting it into practice, these insights are leading to improved clinical efficiencies and patient outcomes, such as reducing ICU length of stay, time on ventilation, readmissions, etc., as well as lowering costs.

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