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Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future

Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future

FHIR builds upon its predecessor, the HL7 Consolidated Clinical Document Architecture (C-CDA) [25], a document-based standard used to capture a “point-in-time” snapshot of a consumer health record. Unlike C-CDA, FHIR uses modern web technology, such as RESTful APIs, JSON, and XML to enable consistent data exchange. Importantly, FHIR APIs allow for “real-time” data exchange through their discrete resource design.

James C

J Particip Med 2025;17:e68261

Estimating the Population Size of People Who Inject Drugs in 3 Cities in Zambia: Capture-Recapture, Successive Sampling, and Bayesian Consensus Estimation Methods

Estimating the Population Size of People Who Inject Drugs in 3 Cities in Zambia: Capture-Recapture, Successive Sampling, and Bayesian Consensus Estimation Methods

Moreover, people who inject drugs endure other harms due to injection drug use, including infections from other blood-borne viruses such as hepatitis C virus (HCV) and hepatitis B virus (HBV), injury, and overdose [3]. Accurate population size estimates (PSEs) of key populations are critical to forecast need and inform HIV and HBV/HCV prevention, care, and treatment program planning, yet they can be difficult to ascertain due to the limited visibility of these groups.

Lauren Parmley, Giles Reid, Joyce J Neal, Brave Hanunka, Leigh Tally, Lophina Chilukutu, Tepa Nkumbula, Chipili Mulemfwe, Lazarous Chelu, Ray Handema, John Mwale, Kennedy Mutale, Lloyd Mulenga, Anne F McIntyre, Neena M Philip, Hannah Chung, Maria Lahuerta

JMIR Public Health Surveill 2025;11:e66551