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Digital skin imaging applications, part II: a comprehensive survey of post-acquisition image utilization features and technology standards.
Sun, Mary D; Kentley, Jonathan; Wilson, Britney W; Soyer, H Peter; Curiel-Lewandrowski, Clara N; Rotemberg, Veronica M; Halpern, Allan C.
Afiliación
  • Sun MD; Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Kentley J; Dermatology Service, Memorial Sloan Kettering, New York, New York, USA.
  • Wilson BW; Dermatology Service, Memorial Sloan Kettering, New York, New York, USA.
  • Soyer HP; Chelsea and Westminster Hospital, London, UK.
  • Curiel-Lewandrowski CN; Dermatology Service, Memorial Sloan Kettering, New York, New York, USA.
  • Rotemberg VM; Rutgers New Jersey Medical School, Newark, New Jersey, USA.
  • Halpern AC; Dermatology Research Centre, Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia.
Skin Res Technol ; 28(6): 771-779, 2022 Nov.
Article en En | MEDLINE | ID: mdl-36181365
ABSTRACT

BACKGROUND:

Despite the increasing ubiquity and accessibility of teledermatology applications, few studies have comprehensively surveyed their features and technical standards. Importantly, features implemented after the point of capture are often intended to augment image utilization, while technical standards affect interoperability with existing healthcare systems. We aim to comprehensively survey image utilization features and technical characteristics found within publicly discoverable digital skin imaging applications. MATERIALS AND

METHODS:

Applications were identified and categorized as described in Part I. Included applications were then further assessed by three independent reviewers for post-imaging content, tools, and functionality. Publicly available information was used to determine the presence or absence of relevant technology standards and/or data characteristics.

RESULTS:

A total of 20 post-image acquisition features were identified across three general categories (1) metadata attachment, (2) functional tools (i.e., those that utilized images or in-app content to perform a user-directed function), and (3) image processing. Over 80% of all applications implemented metadata features, with nearly half having metadata features only. Individual feature occurred and feature richness varied significantly by primary audience (p < 0.0001) and function (p < 0.0001). On average, each application included under three features. Less than half of all applications requested consent for user-uploaded photos and fewer than 10% provided clear data use and privacy policies.

CONCLUSION:

Post-imaging functionality in skin imaging applications varies significantly by primary audience and intended function, though nearly all applications implemented metadata labeling. Technical standards are often not implemented or reported consistently. Gaps in the provision of clear consent, data privacy, and data use policies should be urgently addressed.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Diagnóstico por Imagen Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Skin Res Technol Asunto de la revista: DERMATOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Diagnóstico por Imagen Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Skin Res Technol Asunto de la revista: DERMATOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos