Since the sudden onset of the COVID-19 pandemic, researchers and provider organizations have been working to develop accurate, timely artificial intelligence and data analytics tools that can help clinicians make more informed decisions....
To reduce and track the spread of COVID-19, researchers and provider organizations have increasingly turned to artificial intelligence and machine learning tools to improve their surveillance efforts. For more coronavirus updates, visit...Researchers at the Chan Zuckerberg Biohub are working to overcome this challenge. Using machine learning and cloud computing technology, Li estimated the number of undetected infections at 12 locations in Asia, Europe, and the US over the...
In an industry as high-stakes and uncertain as healthcare, predictive analytics tools and patient identifiers have emerged as viable solutions for seamless, comprehensive care delivery. These tactics can help organizations better understand...
Patient hesitancy to seek care during the pandemic created the perfect storm for delayed care. But big data and analytics are driving population health at Southwestern Health Resources to close care gaps. “There has been a dramatic...
Across the country today, it is widely acknowledged that access to mental healthcare is just as important as clinical care when it comes to overall wellness. Mental health conditions are incredibly common in the US, impacting tens of...To broaden mental healthcare access for people with moderate depression or anxiety, UIC researchers are testing an artificial intelligence-powered virtual agent called Lumen. The team will train the tool to provide patients with...
While the rapid spread of COVID-19 has exposed many unflattering healthcare truths, the glaring health disparities highlighted by the pandemic are perhaps the most detrimental to patient health. For more coronavirus updates, visit...In order to target and reduce the impact of the virus on minority populations, organizations have increasingly turned to data analytics techniques to better track COVID-19 spread. “As healthcare experts, collecting data is invaluable...
Throughout the COVID-19 pandemic, artificial intelligence has helped the healthcare industry navigate the novel and unknown. For more coronavirus updates, visit our resource page, updated twice daily by Xtelligent Healthcare Media....
As the industry continues its quest to provide holistic, comprehensive, and cost-effective care to patients, the term population health management has emerged as a crucial task for organizations to undertake. Understanding the needs of...“You can imagine how much information we have with the 700,000-plus lives that we manage, and using that information is paramount,” Coffey said. “We’re a data-driven organization and everything we do depends on the...
While the spread of COVID-19 has presented healthcare with many challenges, the sheer amount of data generated by the pandemic has been one of the biggest tests the industry has faced so far. For more coronavirus updates, visit...Standard methods of data access and collection can also hinder researchers from uncovering meaningful insights, Payne noted. “If you were to go through the traditional way to gain access to patient data for research, you might have to...
In the midst of a situation as uncertain as the COVID-19 pandemic, the healthcare industry has sought to use big data and predictive analytics tools to better understand the virus and its spread. For more coronavirus updates, visit our...
The potential for artificial intelligence to advance medical imaging and radiology has been well-documented in healthcare research. From earlier detection and more accurate assessments, to less expensive testing and improved workflows, AI...To determine whether patients may need colposcopy, biopsy, or treatment, providers may also administer Pap cytology tests. These tests require specially trained laboratory professionals to analyze stained slides to look for abnormal cells,...
As the healthcare industry continues to seek solutions to track and control the spread of COVID-19, patient matching and data standardization have surfaced as effective responses to the pandemic. For more coronavirus updates, visit our...“In order to make the best decisions possible, develop the best policies and strategies, and allocate resources, we need the best data possible. In order to get the best data possible, we need to aggregate that data from many...
When COVID-19 first started spreading across the country, hospital capacity and the allocation of resources were among the top concerns for healthcare leaders. For more coronavirus updates, visit our resource page, updated twice daily...To help providers detect which patients are most likely to have severe cases of COVID-19, McDevitt and his team leveraged artificial intelligence and big data to produce COVID-19 severity scores. Utilizing data from 160 hospitalized...
In the healthcare industry today, it is widely understood that optimal health outcomes require addressing patients’ clinical and non-clinical needs – their social determinants of health. So much of individuals’ health is...“Industry-wide and society-wide, there’s a lot more recognition of the social determinants of health. In Charlottesville specifically, we’ve been looking at inequities and disparities in our local community and among our...
In the race to find potential treatments and therapies for COVID-19, genomic data is being generated with unprecedented frequency. For more coronavirus updates, visit our resource page, updated twice daily by Xtelligent Healthcare...
The rapid spread of COVID-19 has threatened to overwhelm hospitals and health systems across the country, leading many providers to defer surgeries and other procedures for an unknown period of time. For more coronavirus updates, visit...Data scientists and oncologists from the University of Michigan Cancer Center and the U-M School of Public Health have teamed up to develop a free, web-based application that helps assess the risk form of delayed treatment versus immediate...
With the healthcare industry steadily moving toward more holistic, preventive care delivery, health systems have increasingly recognized the critical role the social determinants of health play in the well-being of individual patients and...While it’s safe to assume that every healthcare professional knows the physical impact of the social determinants of health (SDOH), most organizations aren’t at a place where they can easily access and share this essential data,...
As COVID-19 has made its way across the US and around the world, healthcare stakeholders from all areas of the industry have prioritized containing the outbreak. Leaders at all levels have utilized advanced big data analytics tools and...“People mean different things when they talk about the next phase of the pandemic,” she told HealthITAnalytics. “Right now, in the US, we're only beginning to ramp up our testing and roll out testing for antibodies....
In medicine, risk scoring is one of the best methods providers can use to anticipate and prepare for an adverse event. Using patient data and analytics tools, clinicians can determine the likelihood that a patient will visit the emergency...At Children’s Hospital of Georgia, part of Augusta University Health, clinicians had a significant need for risk scoring and analytics tools. “Over time, we’ve seen that the state of critically ill or sick patients has...
The rapid, global spread of COVID-19 has brought advanced big data analytics tools front and center, with entities from all sectors of the healthcare industry seeking to monitor and reduce the impact of this virus. For more coronavirus...“This is, in essence, a big data problem. We're trying to track the spread of a disease around the world,” James Hendler, the Tetherless World Professor of Computer, Web, and Cognitive Science at Rensselaer Polytechnic...
