[HTML][HTML] Expressiveness of an International Semantic Standard for Wound Care: Mapping a Standardized Item Set for Leg Ulcers to the Systematized Nomenclature of …

J Hüsers, M Przysucha, M Esdar, SM John… - JMIR Medical …, 2021 - medinform.jmir.org
Background Chronic health conditions are on the rise and are putting high economic
pressure on health systems, as they require well-coordinated prevention and treatment …

The importance of SNOMED CT concept specificity in healthcare analytics

L Roberts, S Lanes, O Peatman… - Health Information …, 2024 - journals.sagepub.com
Background Healthcare data frequently lack the specificity level needed to achieve clinical
and operational objectives such as optimising bed management. Pneumonia is a disease of …

Phenotype execution and modeling architecture to support disease surveillance and real-world evidence studies: English sentinel network evaluation

G Jamie, W Elson, D Kar, R Wimalaratna, U Hoang… - JAMIA …, 2024 - academic.oup.com
Abstract Objective To evaluate Phenotype Execution and Modelling Architecture (PhEMA),
to express sharable phenotypes using Clinical Quality Language (CQL) and intensional …

[HTML][HTML] Precision reimbursement for precision medicine: the need for patient-level decisions between payers, providers and pharmaceutical companies

S Budhdeo, M Ruhl, PM Agapow, N Sharma… - Future Healthcare …, 2021 - Elsevier
Healthcare costs have been dramatically rising in developed economies worldwide. A key
driver of cost increases has been high-cost drugs. The current model of reimbursement is …

Common Data Interface for Sustainable Healthcare System

CB Abhilash, KT Deepak, R Hegadi… - Machine Learning and …, 2022 - taylorfrancis.com
The legacy healthcare systems operate in silos where administrators and policymakers often
find it difficult to interconnect two or more systems for seamless data transfer. One of the …

[PDF][PDF] Standardisierte Metadatenintegration für die Sekundärnutzung klinischer Daten

H Ulrich - zhb.uni-luebeck.de
Durch die voranschreitende Digitalisierung und den Einzug neuer Technologien in unser
Gesundheitswesen entstehen immer neue Datenquellen. Ein ganzheitlicher Uberblick über …

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications

D Learning - api.taylorfrancis.com
The most astonishing difference between computers and humans lies in the fact that
computers need to be programmed in order to respond to any event whereas humans learn …

[引用][C] Proposta de um Servidor de Dados em Pesquisa Clínica Baseado no Padrão HL7 FHIR de Interoperabilidade

IO Vieira, JLB Marques - Escola Regional de Computação Aplicada à Saúde …, 2021 - SBC