Fifty-three percent of healthcare executives say that the healthcare industry is ahead of most other industries in artificial intelligence adoption, according to a survey from KPMG.
However, 37...
Vanderbilt University Medical Center (VUMC) has launched the new Vanderbilt Clinical Informatics Center (VCLIC), which will promote and support collaborations in clinical informatics across the...
A team of scientists from Purdue University and other research institutions around the world leveraged data mining techniques to better understand trends in the gene therapy field in respect to...
If the evolution of the healthcare industry were a jigsaw puzzle, then predictive analytics would be the last pieces put into place.
For years, experts have talked about the potential for artificial intelligence, machine learning,...
A team from the Massachusetts Institute of Technology (MIT) has developed a method that determines the accuracy of predictive risk models, helping clinicians to choose better treatments for their...
An integrated genomic approach could help providers predict which patients with nonsmall cell lung cancer will respond to therapy with immune checkpoint inhibitors.
Immune checkpoint inhibitors are...
Mayo Clinic has announced the Clinical Data Analytics Platform as the first venture under the Mayo Clinic Platform, an initiative to use insights and knowledge extracted from data to improve healthcare...
A review of clinical tests from three major US laboratories showed that whole genome sequencing tests routinely fail to adequately analyze more than a quarter of genes, which may prevent providers from...
Primary care has the potential to transform the healthcare industry by improving patient outcomes and reducing overall spend on healthcare services. Study after study shows that value-based care, population health management, chronic...
An alert system driven by machine learning could identify medication errors that traditional clinical decision support systems might otherwise miss, according to a study published in the Joint...
Artificial intelligence and machine learning have captivate the healthcare industry as these innovative analytics strategies become more accurate and applicable to a variety of tasks.
AI is...
Prediction and prevention are the two main goals for patient safety experts seeking to avoid adverse events and reduce the prevalence of hospital acquired conditions (HACs).
While workflow strategies, staff training, and human...
In just a few short years, HL7 FHIR has exploded in popularity to enable unprecedented connectivity across the healthcare ecosystem.
The internet-based data standard has started to hit...
Since the beginning of recorded history, healthcare practitioners have striven to make their actions more effective for their patients by experimenting with different treatments, observing and sharing their results, and improving upon the...
Some healthcare professionals might view artificial intelligence as a job-killer, but advanced machine learning may actually create more employment opportunities in the industry than it eliminates,...
Clinical decision support systems are quickly becoming essential tools for healthcare providers as the volume of available data increases alongside their responsibility to deliver value-based care.
Reducing clinical variation and...
The need to make sense of big data is quickly becoming an imperative in the healthcare industry, demanding a degree of time, skill, attention, and resources that many providers simply do not have to spare.
While changing payment...
From claims to electronic health records to input from the Internet of Things, healthcare organizations have a whole lot of data on their hands. Big data has become one of the industry’s most...
Extracting actionable insights from big data analytics – and perhaps especially healthcare big data analytics – is one of the most complex challenges that organizations can face in the...
Healthcare organizations on the hunt for lower costs, better outcomes, and value-based care bonuses have invested heavily in hoarding as much big data as they can get their hands on.
From customer service call logs and clinical...