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Artificial Intelligence for Quality Improvement in Radiology.
Loehfelm, Thomas W.
Afiliación
  • Loehfelm TW; UC Davis Medical Center, 4860 Y Street, Suite 3100, Sacramento, CA 95817, USA. Electronic address: twloehfelm@ucdavis.edu.
Radiol Clin North Am ; 59(6): 1053-1062, 2021 Nov.
Article en En | MEDLINE | ID: mdl-34689873
Artificial intelligence (AI) and informatics promise to improve the quality and efficiency of diagnostic radiology but will require substantially more standardization and operational coordination to realize and measure those improvements. As radiology steps into the AI-driven future we should work hard to identify the needs and desires of our customers and develop process controls to ensure we are meeting them. Rather than focusing on easy-to-measure turnaround times as surrogates for quality, AI and informatics can support more comprehensive quality metrics, such as ensuring that reports are accurate, readable, and useful to patients and health care providers.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial / Mejoramiento de la Calidad Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Radiol Clin North Am Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial / Mejoramiento de la Calidad Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Radiol Clin North Am Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos