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 | Economics/Finance | Global | Value of Information | Science/Technology -
ArticlePublication 2017Cost-Effectiveness of Testing and Treatment for Latent TB
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve …
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve TB elimination in the United States. This analysis estimated health outcomes, costs, and cost-effectiveness of LTBI testing and treatment among non-US born residents with and without medical comorbidities (e.g., diabetes, HIV infection, and end-stage renal disease). A decision analytic tree and Markov cohort simulation model was used to compare the following strategies: no testing, tuberculin skin test (TST), interferon gamma release assay…
State-Transition | Economics/Finance | Global | Test Performance | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Health/Medicine | North America -
ArticlePublication 2015Achieving a 'Grand Convergence' in Global Health
The Commission on Investing in Health published its report, GlobalHealth2035, in 2013, estimating an investment …
The Commission on Investing in Health published its report, GlobalHealth2035, in 2013, estimating an investment case for a grand convergence in health outcomes globally. In support of the drafting of the Sustainable Development Goals (SDGs), this paper presents estimates of what the grand convergence investment case might achieve—and what investment would be required—by 2030. The authors start with a country-based (bottom-up) analysis of the costs and impact of…!--?xml:namespace prefix = "o" ns = "urn:schemas-microsoft-com:office:office" /-->
Health Outcomes | Economics/Finance | Global | Costing Methods | Cost-Effectiveness Analysis | Health Systems | Global Governance | Health/Medicine | Science/Technology