Focus On Care Coordination

NC Medical School Develops Digital Health Platform to Improve Stroke Care

August 12, 2022 - Researchers from North Carolina-based Wake Forest University School of Medicine have developed a data-driven digital health platform that could help improve health outcomes for stroke patients. The platform, known as COMprehensive Post-Acute Stroke Services – Care Plan (COMPASS-CP), relies on health informatics algorithms to create...

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Automated Care Coordination Tool Improves Timeliness of Liver Cancer Care

by Shania Kennedy

A new study published in PLOS Digital Health shows that an automated care coordination tool can successfully identify and track cases of hepatocellular carcinoma (HCC), a type of liver cancer, which...

Using Data Analytics to Improve Primary Care, Referral Management

by Shania Kennedy

Primary care is an essential facet of modern healthcare, serving as the conduit through which many patients access and engage with available medical care services. When a patient has a non-emergency health concern, a primary care physician...

How Intelligent Automation Can Help Close Care Gaps, Boost Patient Outreach

by Shania Kennedy

In the US, access to and quality of healthcare are major drivers of health disparities and widening patient care gaps. Bridging care gaps also requires providers to have access to knowledge and resources to support these efforts, which can...

Machine Learning Supports Breast Cancer Diagnosis Predictions

by Erin McNemar, MPA

Michigan Technology University researchers developed a machine learning model that uses probability to classify breast cancer more accurately in histopathology images and evaluate the uncertainty of...

Artificial Intelligence Predicts COVID-19 Patients Needing ICU Care

by Erin McNemar, MPA

According to researchers, artificial intelligence could assist doctors in allocating resources during the COVID-19 pandemic by identifying patients who require intensive care unit (ICU) treatment. A...

Evaluating Chronic Disease Progression With Artificial Intelligence

by Erin McNemar, MPA

With artificial intelligence, University of Buffalo researchers have developed a novel system that models chronic disease progression as patients age. The AI model examines metabolic and...

Targeting COVID-19 Health Disparities With Data Analytics

by Erin McNemar, MPA

The COVID-19 pandemic has brought to light existing health disparities, especially among Black, Latinx, and other underrepresented populations. Using data analytics, Indiana’s Marion County...

Diagnostic Tool Advances Population Health, Chronic Disease Prevention

by Erin McNemar, MPA

University of Utah engineers are developing a diagnostic tool for breast cancer that can be used more frequently and in younger patients. According to the engineers, the tool could significantly...

Data Analytics Reveals Significant Drop in Cancer Screening in 2020

by Erin McNemar, MPA

In 2020, many patients delayed care due to the COVID-19 pandemic. Despite the vaccine rollout and cases declining from last year, data analytics indicates that significant decreases in CT imaging for...

Improving Machine Learning With Big Data-Driven Algorithms

by Erin McNemar, MPA

Massachusetts Institute of Technology researchers examined the issue of shortcuts in a popular machine learning method and proposed a solution forcing the model to use more data in its decision-making...

Breast Cancer Decision-Making Tool Uses Data Insights

by Erin McNemar, MPA

University of Colorado Cancer Center researchers are gathering data insights to create a decision-making tool for women who receive a breast cancer diagnosis. In 2019, assistant professor...

NIH Study Links Rare Disease to Higher Healthcare Costs

by Erin McNemar, MPA

In a retrospective study led by the National Institutes of Health’s National Center for Advancing Translation Sciences (NCATS), researchers provide evidence that individuals with rare diseases...

Early Breast Cancer Screenings Reduce Mortality, Health Disparities

by Erin McNemar, MPA

According to analyses performed by the Cancer Intervention and Surveillance Modeling Network (CISNET), having Black women begin mammography screenings every other year starting at the age of 40 could...

Artificial Intelligence-Based Algorithm Predicts Heart Failure

by Erin McNemar, MPA

Mount Sinai researchers created an artificial intelligence-based computer algorithm that can detect subtle changes in electrocardiograms to predict whether a patient is experiencing heart...

Chronic Diseases, COVID-19 Impact Population Health

by Erin McNemar, MPA

Mayo Clinic researchers have discovered new risk factors impacting the population health of those under 45 when it comes to severe COVID-19 infection.  Using data from 9,859 COVID-19 infections,...

AI Predict Mortality Risk Using Socioeconomic, Clinical Data

by Erin McNemar, MPA

By using socioeconomic and clinical data, researchers developed an artificial intelligence tool to predict 30-day mortality risks in patients with cancer. Cancer is one of the leading causes of death...

Improving Social Determinants of Health with Predictive Analytics

by Erin McNemar, MPA

With the COVID-19 pandemic highlighting gaps in healthcare and access to service, providers are searching for ways to improve the well-being of their members. By implementing predictive analytics,...

Strategies for Using Predictive Analytics, AI to Improve Care

by Erin McNemar, MPA

As artificial intelligence (AI) technology becomes more interrogated into the medical community, mastering the element of predictive analytics will be a critical component in bettering the quality of...

Big Data Analytics Finding Gaps in Chronic Disease Management Care

by Erin McNemar, MPA

Efficiency is one of the large goals of the healthcare industry, especially when it comes to chronic disease management. The introduction of big data analytics has helped pave the way for a faster and...

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