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Now more than ever, patient safety is a top priority for healthcare professionals. With highly unstable conditions and the recent surge in COVID-19 cases across the U.S., healthcare administrators are struggling to keep tabs on the ever-changing response landscape. The result? A major roadblock in the ability to reduce risks that can affect the quality of patient care.
The current COVID-19 challenges coupled with gaps in longstanding processes require better risk management and patient safety systems. Healthcare professionals must have the ability to capture, track, and analyze data in real-time.
Predictive analytics and data-discovery tools can identify essential hidden patterns and trends. Artificial Intelligence (AI) powers a centralized reporting tool that removes any bias, which enhances decisions and drives operational efficiencies. This benefits patients, employees, and vendors alike.
By using these three elements in a patient safety tool, healthcare leaders can elevate care, enhance quality, and reduce risk throughout different phases of the pandemic.
Moving forward, healthcare organizations must embrace a heightened level of risk management to provide an environment free from harm. To address the new normal conditions, they must embrace patient safety and risk management solutions that allow them to leverage data insights during all phases of the pandemic.
Technology developed with this in mind will provide the ability to break down departmental silos and bring data together. This will help organizations identify opportunities across the continuum of care for improved patient care and response to risks during the uncertain and changing conditions associated with COVID-19.
To learn more about how advanced analytics can prevent patient harm, improve care, and elevate safety, watch this short video.
Oct 7, 2020
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