Resources Repository
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ArticlePublication 2022Economic Value of Clinical Artificial Intelligence
Artificial intelligence (AI) is increasingly used in clinical applications. Nevertheless, its flexibility and difficulties around …
Artificial intelligence (AI) is increasingly used in clinical applications. Nevertheless, its flexibility and difficulties around collecting data on its clinical impacts make value assessment challenging. This article uses a value framework as the basis for assessing how AI may create value depending on how it is used. Authors also provide advice to health economists seeking to model AI’s clinical impacts. There are multiple ways that AI challenges traditional health technology assessment methodology. Authors highlight several…
Technology Assessment | Value of Information | Global | Economics/Finance | Science/Technology -
ArticlePublication 2022Emerging Therapies for COVID-19: The Value of Information From More Clinical Trials
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face …
The COVID-19 pandemic necessitated time-sensitive policy and implementation decisions regarding new therapies in the face of uncertainty. This study aimed to quantify consequences of approving therapies or pursuing further research. The authors used a cohort state-transition model for hospitalized patients with COVID-19 to estimate quality-adjusted life-years (QALYs) and costs associated with multiple drug regimens and usual care. For each they assessed immediate approval, use only in research, emergency use authorization or reject. They conducted cost-effectiveness…
Value of Information | North America | State-Transition | Benefit-Cost Analysis | Infectious Diseases | Policy/Regulation | Economics/Finance | Europe -
ArticlePublication 2012Modeling the Risks and Benefits of Depression Treatment for Children and Young Adults
This article, published in Value in Health, presents a discrete event simulation model to quantify …
This article, published in Value in Health, presents a discrete event simulation model to quantify the trade-offs with respect to clinical benefits and the risk of fatal and non-fatal suicidal behavior of alternative treatment strategies for a U.S. pediatric population with major depressive disorder. The authors evaluate treatment strategies including: selective serotonin reuptake inhibitors (SSRIs), cognitive behavioral therapy (CBT), and a combination of both. The results show that the use of SSRIs is associated with…
Technology Assessment | North America | Health Outcomes | Microsimulation | Mental Health | Health/Medicine