Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382467515> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4382467515 endingPage "175" @default.
- W4382467515 startingPage "173" @default.
- W4382467515 abstract "Coronavirus 2019 (COVID-19) has catalysed digital transformation in the health space. However, it remains a challenge to generate timely and cost-effective evidence for digital health technologies (DHTs) to ensure their safety and efficacy. Traditional methods, such as randomised controlled trials (RCTs), are ill-suited for assessing DHTs for reasons of speed, agility, cost and context. Clinical simulation using high-fidelity synthetic patient cases is emerging as a promising yet underexplored method to evaluate DHTs. It offers several advantages, including conducting remote multi-site testing at low cost, inclusion of high-risk patient profiles that are usually excluded from RCTs and adaptability to different local clinical settings. This article shares some of the insights from studies using clinical simulation conducted at the Institute of Global Health Innovation (IGHI) at Imperial College London and describes the evolution of this approach as well as future opportunities." @default.
- W4382467515 created "2023-06-29" @default.
- W4382467515 creator A5011543510 @default.
- W4382467515 creator A5013085662 @default.
- W4382467515 creator A5054330809 @default.
- W4382467515 creator A5057481154 @default.
- W4382467515 creator A5074445527 @default.
- W4382467515 creator A5085339545 @default.
- W4382467515 creator A5092354892 @default.
- W4382467515 date "2023-06-27" @default.
- W4382467515 modified "2023-10-04" @default.
- W4382467515 title "Evolution of the clinical simulation approach to assess digital health technologies" @default.
- W4382467515 cites W2478186602 @default.
- W4382467515 cites W2892498858 @default.
- W4382467515 cites W3029704858 @default.
- W4382467515 cites W3080862813 @default.
- W4382467515 cites W3137306506 @default.
- W4382467515 cites W3169286828 @default.
- W4382467515 cites W4225598870 @default.
- W4382467515 doi "https://doi.org/10.7861/fhj.2022-0145" @default.
- W4382467515 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37786639" @default.
- W4382467515 hasPublicationYear "2023" @default.
- W4382467515 type Work @default.
- W4382467515 citedByCount "0" @default.
- W4382467515 crossrefType "journal-article" @default.
- W4382467515 hasAuthorship W4382467515A5011543510 @default.
- W4382467515 hasAuthorship W4382467515A5013085662 @default.
- W4382467515 hasAuthorship W4382467515A5054330809 @default.
- W4382467515 hasAuthorship W4382467515A5057481154 @default.
- W4382467515 hasAuthorship W4382467515A5074445527 @default.
- W4382467515 hasAuthorship W4382467515A5085339545 @default.
- W4382467515 hasAuthorship W4382467515A5092354892 @default.
- W4382467515 hasBestOaLocation W43824675151 @default.
- W4382467515 hasConcept C112930515 @default.
- W4382467515 hasConcept C142724271 @default.
- W4382467515 hasConcept C151730666 @default.
- W4382467515 hasConcept C160735492 @default.
- W4382467515 hasConcept C162324750 @default.
- W4382467515 hasConcept C177606310 @default.
- W4382467515 hasConcept C18903297 @default.
- W4382467515 hasConcept C2522767166 @default.
- W4382467515 hasConcept C2776459999 @default.
- W4382467515 hasConcept C2779343474 @default.
- W4382467515 hasConcept C2780433410 @default.
- W4382467515 hasConcept C41008148 @default.
- W4382467515 hasConcept C50522688 @default.
- W4382467515 hasConcept C535046627 @default.
- W4382467515 hasConcept C71924100 @default.
- W4382467515 hasConcept C76155785 @default.
- W4382467515 hasConcept C86803240 @default.
- W4382467515 hasConceptScore W4382467515C112930515 @default.
- W4382467515 hasConceptScore W4382467515C142724271 @default.
- W4382467515 hasConceptScore W4382467515C151730666 @default.
- W4382467515 hasConceptScore W4382467515C160735492 @default.
- W4382467515 hasConceptScore W4382467515C162324750 @default.
- W4382467515 hasConceptScore W4382467515C177606310 @default.
- W4382467515 hasConceptScore W4382467515C18903297 @default.
- W4382467515 hasConceptScore W4382467515C2522767166 @default.
- W4382467515 hasConceptScore W4382467515C2776459999 @default.
- W4382467515 hasConceptScore W4382467515C2779343474 @default.
- W4382467515 hasConceptScore W4382467515C2780433410 @default.
- W4382467515 hasConceptScore W4382467515C41008148 @default.
- W4382467515 hasConceptScore W4382467515C50522688 @default.
- W4382467515 hasConceptScore W4382467515C535046627 @default.
- W4382467515 hasConceptScore W4382467515C71924100 @default.
- W4382467515 hasConceptScore W4382467515C76155785 @default.
- W4382467515 hasConceptScore W4382467515C86803240 @default.
- W4382467515 hasIssue "2" @default.
- W4382467515 hasLocation W43824675151 @default.
- W4382467515 hasLocation W43824675152 @default.
- W4382467515 hasOpenAccess W4382467515 @default.
- W4382467515 hasPrimaryLocation W43824675151 @default.
- W4382467515 hasRelatedWork W2119075928 @default.
- W4382467515 hasRelatedWork W2335511447 @default.
- W4382467515 hasRelatedWork W2350459918 @default.
- W4382467515 hasRelatedWork W2389489231 @default.
- W4382467515 hasRelatedWork W2468514837 @default.
- W4382467515 hasRelatedWork W2748952813 @default.
- W4382467515 hasRelatedWork W2783354765 @default.
- W4382467515 hasRelatedWork W2899084033 @default.
- W4382467515 hasRelatedWork W3107890719 @default.
- W4382467515 hasRelatedWork W4362720409 @default.
- W4382467515 hasVolume "10" @default.
- W4382467515 isParatext "false" @default.
- W4382467515 isRetracted "false" @default.
- W4382467515 workType "article" @default.