Embracing Artificial Intelligence: Revolutionizing Nursing Documentation for a Better Future

被引:2
|
作者
Yadav, Sankalp [1 ]
机构
[1] Shri Madan Lal Khurana Chest Clin, Med, New Delhi, India
关键词
healthcare; ai and machine learning; hipaa; nursing documentation; nursing;
D O I
10.7759/cureus.57725
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Nursing documentation stands as a critical aspect of healthcare delivery, ensuring comprehensive patient records and facilitating communication among healthcare providers. However, traditional documentation methods are often time-consuming and prone to errors, diverting nurses' attention from direct patient care. This editorial explores the transformative potential of artificial intelligence (AI) in revolutionizing nursing documentation processes. By leveraging AI-driven technologies, such as natural language processing and machine learning, healthcare organizations can automate data entry, extract key clinical information, and generate personalized care plans, thereby streamlining workflows and improving documentation accuracy. This editorial also examines various AI-powered software applications and platforms that facilitate nursing documentation, highlighting their benefits in terms of efficiency, accuracy, and clinical decision support. Furthermore, it discusses considerations such as privacy, security, and the need for nurse training to effectively integrate AI into nursing practice. By embracing AI in nursing documentation, healthcare organizations can empower nurses to devote more time to patient care while enhancing the quality and safety of healthcare delivery.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Artificial intelligence for better goals of care documentation
    Piscitello, Gina
    Schell, Jane O.
    Arnold, Robert M.
    Schenker, Yael
    BMJ SUPPORTIVE & PALLIATIVE CARE, 2024,
  • [2] Embracing the future-is artificial intelligence already better? A comparative study of artificial intelligence performance in diagnostic accuracy and decision-making
    Fonseca, Angelo
    Ferreira, Axel
    Ribeiro, Luis
    Moreira, Sandra
    Duque, Cristina
    EUROPEAN JOURNAL OF NEUROLOGY, 2024, 31 (04)
  • [3] Artificial Intelligence and Nursing: The Future Is Now
    Clancy, Thomas R.
    JOURNAL OF NURSING ADMINISTRATION, 2020, 50 (03): : 125 - 127
  • [5] Embracing Artificial Intelligence
    Gould, Kathleen Ahern
    DIMENSIONS OF CRITICAL CARE NURSING, 2024, 43 (06) : 277 - 278
  • [6] Generalist medical artificial intelligence: Embracing the future with flexible interactions
    Di, Huajie
    Wen, Yi
    PSYCHIATRY AND CLINICAL NEUROSCIENCES, 2023, 77 (11) : 625 - 626
  • [7] Safeguarding the Future: Ethical Artificial Intelligence in Healthcare Documentation
    Westhoff, Kristen
    Balestrieri-Martinez, Bernadette
    Graham, Julie-Kathryn
    Kelley, Christina
    CLINICAL NURSE SPECIALIST, 2025, 39 (01) : 3 - 6
  • [8] Revolutionizing MASLD: How Artificial Intelligence Is Shaping the Future of Liver Care
    Pugliese, Nicola
    Bertazzoni, Arianna
    Hassan, Cesare
    Schattenberg, Joern M.
    Aghemo, Alessio
    CANCERS, 2025, 17 (05)
  • [9] Is the evolving role of artificial intelligence and chatbots in the field of otolaryngology embracing the future?
    Carlos Miguel Chiesa-Estomba
    Marlene M. Speth
    Miguel Mayo-Yanez
    David T. Liu
    Antonino Maniaci
    Daniele Borsetto
    European Archives of Oto-Rhino-Laryngology, 2024, 281 : 2179 - 2180