Coverage of our peer-reviewed research and news reporting in the health care and mainstream press.
A story published by the Daily Mail cited an article published on AJMC.com, the website of The American Journal of Managed Care® (AJMC®). The article, titled “A Timeline of COVID-19 Developments in 2020,” took a look at how the COVID-19 pandemic evolved and progressed over the year of 2020.
A press release issued by Jvion referenced a study published in the January 2020 issue of AJMC®, “Using Applied Machine Learning to Predict Healthcare Utilization Based on Socioeconomic Determinants of Care.” The study demonstrated the ability to generate a highly accurate model to predict inpatient and emergency department utilization using data on socioeconomic determinants of care.
A piece by PatientEngagementHIT featured findings of a study published in the November 2018 issue of AJMC®. The study, “Patients' Adoption of and Feature Access Within Electronic Patient Portals,” indicated that race and age disparities were found not only in who adopted patient portal technology, but also in which features were accessed by those who were adopters.
Neurologists Share Tips for Securing Patient Access to Gene Therapies
March 19th 2025Tenacious efforts at every level, from the individual clinician to the hospital to the state to Congress, will be needed to make sure patients can access life-saving gene therapies for neuromuscular diseases.
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CMS Medicare Final Rule: Advancing Benefits, Competition, and Consumer Protection
May 7th 2024On this episode of Managed Care Cast, we're talking with Karen Iapoce, senior director of government products and programs at ZeOmega, about the recent CMS final rule on Medicare Part D and Medicare Advantage.
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Use of AI Lets Health System Find Lung Cancer at Early Stages
March 8th 2025Artificial intelligence (AI) helps a Sarasota, Florida, health system catch lung nodules that appear on CT scans for patients treated for scores of conditions, allowing them to be referred for a possible lung cancer diagnosis.
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Demographic Disparities in Video Visit Telemetry: Understanding Telemedicine Utilization
March 7th 2025A stratified demographics analysis of video visit telemetry data reveals that age older than 65 years and African American/Black race are associated with higher video visit failure rates, whereas language, sex, and ethnicity are not.
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