At first glance, mining clinical data to extract meaningful insights seems like a task well-suited for machine learning algorithms. The principal aim of advanced analytics tools is to evaluate multiple...
Among the many gaps in care that pervade the medical industry, rural health disparities are some of the most prevalent.
For individuals living in rural parts of the country, geographic isolation,...
The emergence of next-generation sequencing technology has led to widespread genomic testing and the availability of genomic data, providing a way for clinicians and patients to better understand...
Of the many truths brought to light during the pandemic, the importance of providers’ voices is among the most consequential.
The experiences and daily operations of frontline healthcare workers...
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...
Throughout the era of COVID-19, it’s become apparent that the only constant is change. The crisis continues to rapidly evolve, with updated guidelines and fluctuating case numbers,...
Medical imaging data has always played a critical role in healthcare delivery, allowing researchers and providers to collect meaningful information for better decision-making.
Since the dawn of...
Throughout the COVID-19 pandemic, predictive analytics have helped healthcare organizations plan for surges in patients, allocate necessary resources, and anticipate which populations would be at...
Current care delivery is, for the most part, conducted on an episodic basis. Patients generally see their doctors when they don’t feel well, limiting clinicians’ ability to provide...
In care delivery today, it’s well understood that a patient’s social determinants of health have a profound impact on both physical well-being and healthcare spending – sometimes even...
While cancer obviously takes a momentous physical toll on the body, the disease can have dire effects on a person’s mental health as well – a trend that has only grown more common with the...
While the healthcare industry has made significant strides in leveraging data and technology to treat cancer, gaps in treatments and outcomes continue to persist. Cancer care disparities still pervade...
While the dawn of the EHR promised streamlined, accelerated healthcare delivery, the technology can also include burdensome alerts and documentation requirements that lead to clinician...
When COVID-19 began spreading across the US, the healthcare industry quickly moved to improve its secure data sharing practices in order to accelerate research efforts and treatment development.
For...
While the promises of precision medicine in healthcare are seemingly boundless, the industry has had to overcome several challenges to integrating these approaches with everyday clinical care.
From...
In order to provide holistic, quality care for patients, clinicians have to address the non-clinical factors that influence overall wellness – individuals’ social determinants of...
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...
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...
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...
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...
