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Charting Tomorrow's Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future.
Fogleman, Brody M; Goldman, Matthew; Holland, Alexander B; Dyess, Garrett; Patel, Aashay.
Afiliación
  • Fogleman BM; Internal Medicine, Edward Via College of Osteopathic Medicine - Carolinas, Spartanburg, USA.
  • Goldman M; Neurological Surgery, Houston Methodist Hospital, Houston, USA.
  • Holland AB; General Surgery, Edward Via College of Osteopathic Medicine - Carolinas, Spartanburg, USA.
  • Dyess G; Medicine, University of South Alabama College of Medicine, Mobile, USA.
  • Patel A; Neurological Surgery, University of Florida College of Medicine, Gainesville, USA.
Cureus ; 16(4): e58032, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38738104
ABSTRACT
Electronic health record (EHR) systems have developed over time in parallel with general advancements in mainstream technology. As artificially intelligent (AI) systems rapidly impact multiple societal sectors, it has become apparent that medicine is not immune from the influences of this powerful technology. Particularly appealing is how AI may aid in improving healthcare efficiency with note-writing automation. This literature review explores the current state of EHR technologies in healthcare, specifically focusing on possibilities for addressing EHR challenges through the automation of dictation and note-writing processes with AI integration. This review offers a broad understanding of existing capabilities and potential advancements, emphasizing innovations such as voice-to-text dictation, wearable devices, and AI-assisted procedure note dictation. The primary objective is to provide researchers with valuable insights, enabling them to generate new technologies and advancements within the healthcare landscape. By exploring the benefits, challenges, and future of AI integration, this review encourages the development of innovative solutions, with the goal of enhancing patient care and healthcare delivery efficiency.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cureus Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cureus Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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