Patient Outcomes

Artificial Intelligence Can Track Aneurysm, Boost Patient Care

by Emily Sokol, MPH

Over 450,000 Americans are currently on dialysis. While this treatment can be lifesaving, frequent needle sticks cause many patients to develop arteriovenous fistula aneurysms, a twisting of the blood...

Whole Genome Sequencing Reveals Genetic Risks of Schizophrenia

by Jessica Kent

In the largest-ever whole genome sequencing study of schizophrenia, researchers discovered that rare structural genetic variants could play a role in the development of the disorder. The findings...

Using Automated Risk Scoring to Spot Pediatric Patient Deterioration

by Jessica Kent

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...

UCSF Creates Interactive Website for Population Health, COVID-19

by Jessica Kent

The UC San Francisco (UCSF) School of Medicine Dean’s Office of Population Health and Health Equity has launched a new interactive mapping website that curates publicly available community data,...

Social Determinants of Health Impact Cancer Screening Rates

by Jessica Kent

Individuals living in areas of greater deprivation and rurality had lower rates of recommended cancer screening, reflecting the significant impact the social determinants of health have on care access,...

Researchers Uncover Racial Disparities in Brain Cancer Outcomes

by Jessica Kent

Black and Hispanic pediatric patients fared worse than non-Hispanic white patients during brain cancer treatment and follow-up, indicating that racial disparities have a significant impact on...

Robot Uses Deep Learning, Ultrasound Imaging to Draw Blood

by Jessica Kent

An autonomous, robotic tool used deep learning and ultrasound imaging to draw blood or insert catheters on par with or better than human providers, according to a study published in Nature Machine...

New Algorithm Tracks Sepsis Incidence Among Pediatric Patients

by Jessica Kent

Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a new algorithm that can track the epidemiology of sepsis among pediatric patients, allowing for more accurate data...

How Clinical Decision Support Adherence Leads to Better Patient Data

by Jessica Kent

As the volume of healthcare data increases and the shift to value-based care accelerates, clinical decision support tools are becoming more and more critical to ensure quality care delivery. From...

Artificial Intelligence Identifies Worsening Heart Failure

by Jessica Kent

Researchers have developed a new wearable sensor that leverages artificial intelligence to identify worsening heart failure before a health crisis occurs, potentially preventing hospital...

Socioeconomic Data Reveals Disparities in Premature Mortality

by Jessica Kent

Researchers from Washington State University Elson S. Floyd College of Medicine examined socioeconomic data and found that premature mortality, or death occurring before age 65, is three to eight times...

Data Governance, Chronic Disease Management Top Priorities in 2020

by Jessica Kent

As healthcare continues its digital transformation in the coming year, the industry will prioritize data governance and chronic disease management to improve treatment and outcomes, according to CVS...

Natural Language Processing Advances Clinical Decision Making

by Emily Sokol, MPH

Providers are inundated with large amounts of data that is daunting to comb through to find actionable outcomes.  Artificial intelligence (AI) technology is frequently seen as the solution to...

Eliminating Racial Bias in Algorithm Development

by Emily Sokol, MPH

The use of machine learning, natural language processing, and neural networking artificial intelligence technologies are exploding across the healthcare industry. From identifying early stage cancer on...