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Top Opportunities for Artificial Intelligence to Improve Cancer Care

HealthITAnalytics As artificial intelligence (AI) continues to grow in the healthcare field, researchers are findings new ways to utilize its capabilities. In chronic disease management and prevention, especially in cancer research, AI has been critical in the diagnosis, decision-making, and treatment process. According to the National Cancer Institute, AI, machine learning, and deep learning can all be...


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Ethical Artificial Intelligence Standards To Improve Patient Outcomes

As providers continue to target improved patient outcomes, more organizations are utilizing artificial intelligence, data analytics, and machine learning. However, organizations should follow ethical standards to ensure positive results...

Developing Recommended Practices For Analyzing EHR Databases

As electronic health records continue to grow in healthcare, scientists must have a uniform set of recommendations to conduct research and analyze data. In a collaborative effort, the University of California, Irvine School of Pharmacy...

Enhancing Population Health Approaches to Deliver Preventive Care

In medical practice, prevention is the pinnacle of quality care delivery.  Reaching patients before they develop a costly disease or experience an adverse health event can not only boost outcomes, but also reduce expenses and...

What Role Could Artificial Intelligence Play in Mental Healthcare?

In just over a year, nearly every part of the medical industry has been ushered into a new era of care delivery. Upended by a crisis, the healthcare sector has had to quickly find new ways of safely providing quality care to patients. For...

Exploring the Intersection of Genomic Data and AI in Healthcare

Personalization is something most people have come to appreciate – if not expect – in everyday, consumer-driven experiences. From recommended movies and shows based on what you’ve watched, to playlists tailored to your...

Population Health Management Strategies to Reduce Health Disparities

For the most part, healthcare buzzwords are associated with positive, forward-thinking change. Terms like precision medicine, artificial intelligence, and chronic disease management imply productivity, effective transformation, and novel...

Top Challenges of Applying Artificial Intelligence to Medical Imaging

Among the many possible applications of artificial intelligence and machine learning in healthcare, medical imaging is perhaps the most promising. When used to decode the complicated nature of MRIs, CT scans, and other testing modalities,...

Using AI, Data Analytics to Enhance Person-Centered Care for Seniors

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 over....

Applying Artificial Intelligence to Chronic Disease Management

When it comes to healthcare, it seems Americans spend more to receive less. An aging population, expensive pharmaceuticals, and administrative waste result in sky-high medical costs, while health outcomes remain poorer than those in other...

How Healthcare is Leveraging Real-World Data to Improve Outcomes

When describing the state of healthcare in the last few months, people have used certain words over and over again.  Unprecedented, crisis, rapid, and novel have become staple terms in the nation’s vocabulary, highlighting both...

Healthcare Data Sharing Connects the Dots for COVID-19 and Beyond

When one considers the healthcare industry, it’s easy to picture the entire ecosystem existing as one massive, cohesive machine – a system seamlessly working to achieve the goals of quality care, lower costs, and improved...

Using Social Determinants to Promote Health Equity During a Crisis

Across the healthcare landscape, it is widely understood but rarely confessed that not all care is delivered equally.  In an ideal world – or just a fairer one – the medical industry would be able to seamlessly address an...

Could COVID-19 Help Refine AI, Data Analytics in Healthcare?

In the months since COVID-19 has evolved from a blip on the world’s radar to a full-blown global health crisis, the virus has managed to shine a glaring light on some of healthcare’s most foundational cracks.  Gaps in care,...

How Machine Learning is Transforming Clinical Decision Support Tools

In the era of value-based healthcare, digital innovation, and big data, clinical decision support systems have become vital for organizations seeking to improve care delivery. Clinical decision support (CDS) tools have the ability to...

Putting the Pieces Together for a Successful Predictive Analytics Strategy

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, and...

Providing Holistic Preventive Health with Advanced Primary Care

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...

Best Practices to Develop a Social Determinants of Health Strategy

Addressing the social determinants of health (SDOH) in a community can seem like an insurmountable task, but Humana’s best practices show that a changing health system is ready to tackle these problems. The SDOH are factors outside of...

How Geographic Data Can Help Address Social Determinants of Health

A patient’s social determinants of health contribute more to her health than her genetic code or her medical care. These social determinants of health are factors outside of the traditional healthcare setting that impact an...

5 Successful Risk Scoring Tips to Improve Predictive Analytics

Risk scoring allows organizations to understand their population based on defined risk factors and anticipate the future risk of the group. A risk score is a metric used to predict aspects of a patient’s care (cost, risk of...