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Real-World Data

Widespread availability of real-world data has enabled the generation of evidence and insights that benefit patients, providers, plans, and industry. Explore our real-world data analyses to support your strategic decisions.

AI in Healthcare: Raise the Evidence Bar Now or Be Forced to Later

In 2012, experts predicted that artificial Intelligence (AI) would eventually replace as much as 80% of current clinical practice by physicians. While AI has certainly expanded in healthcare—especially during the COVID-19 pandemic—the last few years have included some eventful setbacks in the use of AI across several sectors of the economy, including healthcare.

John Neal

New Data Approaches for Novel Curative Therapies and APMs

On June 9, Avalere experts discussed new data analytics and approaches for evaluating value-based topics in healthcare in the “New Data Approaches for Novel Curative Therapies & APMs” webinar. They examined the current approaches to assessing the value of treatments, novel curative therapy affordability and access, and the role of data in healthcare decision-making.

Emily Belowich

Chronic Disease Mobile Health Apps Need Better Value Propositions and Evidence

Rising healthcare costs and the increased prevalence of chronic disease in the US are incentivizing stakeholders to develop new solutions to tackle these issues. Many have turned to digital health innovations like mobile health applications to facilitate care prevention and management for chronic disease, but significant gaps remain in their ability to be used in real-world practice.

Medication Adherence Rates Low Among Patients with Serious Mental Illness

Avalere research recently published in ClinicoEconomics and Outcomes Research compared patient characteristics and real-world outcomes in 2 distinct high-risk cohorts of patients with serious mental illness (SMI), including patients with a hospitalization related to SMI (recently discharged) and patients newly diagnosed with SMI (early episode). The research included 51,705 patients with bipolar disorder, major depressive disorder, and schizophrenia.

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