Since the start of the pandemic last year, hospital data has shown lower rates of unplanned hospital visits and higher rates of in-hospital mortality. According to Dr. Ari Robicsek, who is the chief...
Researchers from the American Chemical Society have developed a blood test using predictive analytics to determine if individuals with COVID-19 will experience severe symptoms or not. According to the...
With the goal of using real-world clinical data and precision medicine to deliver better care for cancer patients, MedStar Health and COTA announced a new research partnership.
Through the...
Across the healthcare industry, leaders are increasingly leveraging real-time data analytics tools to advance insights and improve decision-making.
In high-risk care settings, these tools are...
For years, data analytics in healthcare has been a frequent buzzword among industry leaders. The ability to leverage AI, machine learning, and other technologies to gain actionable insights from...
Researchers at Thomas Jefferson University have developed a predictive analytics tool that can forecast the risk of post-surgical complications, helping providers to deliver more proactive, preventive...
Scientists at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory and the Linac Coherent Light Source (LCLS) at SLAC National Accelerator...
Fourteen leading healthcare providers are partnering to form Truveta, a new company that will leverage big data analytics for enhanced care insights.
Providers involved in the effort include...
Researchers from the University of Maryland School of Medicine (UMSOM) have analyzed diverse genetic datasets in an effort to advance precision medicine for minority populations.
The early analysis is...
Data analytics tools have proven to be valuable assets in several areas of healthcare. From disease detection to workflow optimization, advanced analytics solutions have the potential to increase care...
In hopsitals and emergency departments, it’s essential for providers to continually monitor patients in order to stay ahead of potential adverse events. However, patient deterioration can be very...
A digital clinical decision support tool can help providers determine whether a child’s diarrhea is caused by bacteria or a virus and potentially cut inappropriate antibiotic use, according to a...
A data analytics tool can evaluate complex gene expression information and distinguish cancer cells from normal cells in tumor samples, according to a study published in Nature...
The end of 2020 marks the conclusion of one of the most formidable years the healthcare industry has seen in recent memory.
The COVID-19 pandemic brought new challenges with it, while also shining a...
Researchers at Johns Hopkins Bloomberg School of Public Health have developed a series of case studies for public health issues that will enable healthcare leaders to use big data analytics tools in...
Real-time data analytics and partnerships between researchers and healthcare providers will help boost heart health, according to a report published in Circulation by the American Heart Association...
A real-time clinical decision support system issues alerts to specially trained nurses when patients are at risk of deteriorating, potentially leading to lower mortality rates, according to a study...
Combining a deep learning model with medical imaging techniques could help determine the best treatment options for patients with non-small cell lung cancer, according to a study published in Nature...
Right now, there are more than 46 million adults age 65 and older living in the US. By 2050, that number is expected to grow to almost 90 million.
This means that in just ten years, one in five Americans is projected to be 65 or...
A team at the Perelman School of Medicine at the University of Pennsylvania will leverage artificial intelligence to find patterns in genetic, imaging, and clinical data from over 60,000...