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AJMC® In the Press, January 24, 2020
Coverage of our peer-reviewed research and news reporting in the healthcare and mainstream press.
An article by EHR Intelligence referenced a study published in the January 2020 health information technology issue of The American Journal of Managed Care® (AJMC®). The study, titled “Opt-In Consent Policies: Potential Barriers to Hospital Health Information Exchange,” found that opt-in patient consent requirements for health information exchange correlate with more reported regulatory barriers, especially among less technologically advanced hospitals. The study was additionally spotlighted by Becker’s Hospital Review.
Health IT Analytics’ piece “Machine Learning Uses Social Determinants Data to Predict Utilization” cited a study published in the January 2020 health information technology issue of AJMC® titled, “Using Applied Machine Learning to Predict Healthcare Utilization Based on Socioeconomic Determinants of Care.” The study demonstrated the possibility of generating a highly accurate model to predict inpatient and emergency department utilization through the use of data on socioeconomic determinants of care.
The Kansas City Star featured a May 2018 article on AJMC® titled, “Study Finds Prescription Drug Monitoring Programs Ineffective at Curbing Overdoses.” In the study highlighted in the article, researchers found that prescription drug monitoring programs exhibited limited to no evidence of effectiveness in attacking the nation’s drug problem.
AI in Health Care: Balancing Governance, Innovation, and Trust
September 2nd 2025In this conversation with Reuben Daniel, associate vice president of artificial intelligence at UPMC Health Plan, we dive into how UPMC Health Plan builds trust with providers and members, discuss challenges of scaling AI effectively, and hear about concrete examples of AI's positive impact.
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Team Coordination, Data Sharing Help Prioritize Value in Cardio-Renal-Metabolic Care
September 12th 2025Cardiologists, nephrologists, and payers met in Scottsdale, Arizona, on August 26, 2025, to share insights on how team members can work together, empowered by data, to achieve value-based management of cardio-renal-metabolic syndrome.
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