As Covid-19 continues to exacerbate a nationwide healthcare worker shortage, health systems are experimenting with different ways to maximize stretched human resources, including technological solutions. One company that works with health systems believes that AI could help alleviate current labor woes. John Frownfelter, CEO of the Suwanee, Georgia-based artificial intelligence company Jvion said AI can actually improve efficiency in how medicine is practiced. Linked to the Jvion site below to avoid linking "out" up high.] AI has been heavily hyped for years but now, amid the pandemic, achieving operating efficiencies has taken on a new urgency at cash-strapped and short-staffed hospitals.

The pandemic has put immense strain on ICUs, resulting in shortages of staff, beds, personal protective equipment and ventilators. It has also exposed the limitations of traditional predictive algorithms used to predict patient outcomes, manage capacity, and inform triage decisions. Use of artificial intelligence can help refine the raw data and present more useful knowledge, especially in the ICU setting, by separating the clinically-relevant information from the noise in a data rich environment. "This results in earlier recognition of changes in patient conditions and their evolving risks," said Dr. John Frownfelter, chief medical information officer at Jvion. "It also allows you to see patients holistically by bringing in data on behavioral risk factors that you wouldn't be able to see from the clinical data in the EHR."

Healthcare professionals work very hard to serve every patient equally. So, when artificial intelligence (AI) comes into the picture, there is something to be worried about. Research on AI in healthcare has shown how beneficial it is to reduce costs and make healthcare more accurate, fast, and reliable. The racial issues with artificial intelligence are found in certain circumstances. For instance, a study finds that last year six algorithms used on about 60-100 million patients in the U.S were prioritising care for white patients over black patients for the same disease.

Healthcare professionals work very hard to serve every patient equally. So, when artificial intelligence (AI) comes into the picture, there is something to be worried about. Research on AI in healthcare has shown how beneficial it is to reduce costs and make healthcare more accurate, fast, and reliable. The racial issues with artificial intelligence are found in certain circumstances. For instance, a study finds that last year six algorithms used on about 60-100 million patients in the U.S were prioritising care for white patients over black patients for the same disease.

Can broader datasets help developers avoid accidentally perpetuating deep-rooted biases in vital institutions like healthcare and education? AI in healthcare has a bias problem. Last year, it came to light that six algorithms used on an estimated 60-100 million patients nationwide were prioritizing care coordination for white patients over black patients for the same level of illness. The algorithm was trained on costs in insurance claims data, predicting which patients would be expensive in the future based on who was expensive in the past. Historically, less is spent on black patients than white patients, so the algorithm ended up perpetuating existing bias in healthcare.

As the novel coronavirus (COVID-19) continues to spread across the world, governments and hospitals are being overwhelmed with an influx of patients. Under such circumstances, one of the key challenges they must address is managing their resources and developing care and hospitalization strategies that can prioritize the riskiest patients. This is one area where artificial intelligence can help, experts at Jvion believe. The company, which specializes in clinical AI, is undertaking a data analysis project that will inform COVID-19 readiness strategies and help hospitals take a proactive approach to manage patient populations in the inpatient and outpatient settings. Jvion is using machine learning algorithms to determine the social risk factors that make people more likely to contract and spread the virus or acquire an infection that requires hospitalization.

The health care sector has increasingly turned to artificial intelligence to aid in everything from performing surgeries to helping diagnose and predict outcomes of patient illnesses. But as the coronavirus crisis ramps up, and hackers turn their eyes toward the health sector, experts warn these systems and the patients they support are increasingly at risk. "Obviously any disruption or denial of service of any type of medical health technology which interrupts patient care is definitely a significant issue," said John Riggi, the senior adviser for cybersecurity and risk at the American Hospital Association (AHA). "Worst-case scenario, life-saving medical devices may be rendered inoperable." AI systems have gradually been integrated into health care in the United States, often used to help speed diagnoses, such as reading X-rays, and for determining risks to patients.

This article is part of our ongoing coverage of the fight against coronavirus. As the novel coronavirus (COVID-19) continues to spread across the world, governments and hospitals are being overwhelmed with an influx of patients. Under such circumstances, one of the key challenges they must address is managing their resources and developing care and hospitalization strategies that can prioritize the riskiest patients. This is one area where artificial intelligence can help, experts at Jvion believe. The company, which specializes in clinical AI, is undertaking a data analysis project that will inform COVID-19 readiness strategies and help hospitals take a proactive approach to manage patient populations in the inpatient and outpatient settings.

This article is part of our ongoing coverage of the fight against coronavirus. As the novel coronavirus (COVID-19) continues to spread across the world, governments and hospitals are being overwhelmed with an influx of patients. Under such circumstances, one of the key challenges they must address is managing their resources and developing care and hospitalization strategies that can prioritize the riskiest patients. This is one area where artificial intelligence can help, experts at Jvion believe. The company, which specializes in clinical AI, is undertaking a data analysis project that will inform COVID-19 readiness strategies and help hospitals take a proactive approach to manage patient populations in the inpatient and outpatient settings.

In Star Wars: The Empire Strikes Back, Luke Skywalker is rescued from the frozen wastes of Hoth after a near-fatal encounter, luckily to be returned to a medical facility filled with advanced robotics and futuristic technology that treat his wounds and quickly bring him back to health. The healthcare industry could be headed toward yet another high-tech makeover (even as it continues to adapt to the advent of electronic health records systems and other healthcare IT products) as artificial intelligence (AI) improves. Could AI applications become the new normal across virtually every sector of the healthcare industry? Many experts believe it is inevitable and coming sooner than you might expect. AI could be simply defined as computers and computer software that are capable of intelligent behavior, such as analysis and learning.