The smallest influx in unexpected patient volume can throw a hospital for a loop if it’s not adequately prepared. From seasonal illnesses like the flu to full-blown medical pandemics such as what we’re seeing with the coronavirus, any type of patient surge puts a hospital’s operational systems to the test. This is where predictive analytics and advanced technologies like AI and machine learning can play an invaluable role in helping hospitals take a proactive approach to increases in patient volume, helping avoid bottlenecks and provide the best possible care.
Here are some recent pieces of February industry news that can help hospitals prepare for an influx of patients.
Surge Planning Is Key
Hospitals around the country are taking specific steps to stop the spread of the coronavirus. Boston hospitals have been training workers, monitoring medical supplies, and readying rooms and beds in preparation for a possible increase in cases. While risk still remains relatively low, each hospital in Massachusetts has an emergency preparedness plan that includes surge planning. In the unexpected hospital environment, it’s vital for healthcare systems to have a surge plan in place as it may save lives when the time comes.
Source: Boston Globe
Preparedness with Predictive Analytics
If your hospital has been on the fence about deciding to invest in predictive analytics technology, now is the time to jump in. The right predictive analytics program can help organizations improve anything from disease management to patient engagement and precision medicine. Even more, predictive analytics can anticipate potential consequences before they occur, enabling hospitals to stay one step ahead and better prepare for uncertain situations, like the coronavirus. But good data, actionable insights, and leaders who promote a culture of transformation will be key to a successful predictive analytics strategy.
Source: Health IT Analytics
Kick Your AI Fear
Despite its advancements in the industry, artificial intelligence continues to face a bad rap as hospitals remain hesitant to fully adopt the technology. A recent survey found only 67 percent of healthcare workers support AI adoption due to fears the technology could eventually cut jobs. While we understand the concern, being open to AI’s potential could save hospitals time and money in the long run while simultaneously improving patient care. AI technologies are critical to addressing a range of challenges, such as advancing healthcare systems, creating a robust intelligent transportation system, and building resilient communication networks, all of which can aid during times of patient surges.
Source: HIT Infrastructure
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