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
  • [31] Revolutionizing biomolecular structure determination with artificial intelligence
    Han Li
    Yipin Lei
    Jianyang Zeng
    National Science Review, 2024, 11 (11) : 26 - 29
  • [32] Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence
    Subha, L.
    Sharma, Atul
    Misra, Anita
    GAZI MEDICAL JOURNAL, 2024, 35 (04): : 457 - 466
  • [33] Revolutionizing Pathology with Artificial Intelligence: Innovations in Immunohistochemistry
    Poalelungi, Diana Gina
    Neagu, Anca Iulia
    Fulga, Ana
    Neagu, Marius
    Tutunaru, Dana
    Nechita, Aurel
    Fulga, Iuliu
    JOURNAL OF PERSONALIZED MEDICINE, 2024, 14 (07):
  • [34] The Role of Artificial Intelligence in Revolutionizing Pharmacological Research
    Bhatia, Nitish
    Khan, Mohd Masih Uzzaman
    Arora, Saahil
    CURRENT PHARMACOLOGY REPORTS, 2024, 10 (06) : 323 - 329
  • [35] Artificial Intelligence Revolutionizing the Field of Medical Education
    Narayanan, Suresh
    Ramakrishnan, Rajprasath
    Durairaj, Elantamilan
    Das, Arghya
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (11)
  • [36] Revolutionizing aortic aneurysm assessment with artificial intelligence
    Crawford, Sean A.
    JOURNAL OF VASCULAR SURGERY, 2024, 79 (06) : 1401 - 1401
  • [37] Revolutionizing Cardiology: The Role of Artificial Intelligence in Echocardiography
    Maturi, Bhanu
    Dulal, Subash
    Sayana, Suresh Babu
    Ibrahim, Atif
    Ramakrishna, Manasa
    Chinta, Viswanath
    Sharma, Ashwini
    Ravipati, Harish
    JOURNAL OF CLINICAL MEDICINE, 2025, 14 (02)
  • [38] Revolutionizing biomolecular structure determination with artificial intelligence
    Li, Han
    Lei, Yipin
    Zeng, Jianyang
    NATIONAL SCIENCE REVIEW, 2024, 11 (11)
  • [39] Revolutionizing Stroke Diagnosis: The Role of Artificial Intelligence
    Kumar, Harendra
    Choudhari, Jinal
    Poudel, Sujan
    Panta, Nisha
    Abolfazli, Amin
    Cueva, Wilson
    ANNALS OF NEUROLOGY, 2023, 94 : S113 - S114
  • [40] Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future
    Rony, Moustaq Karim Khan
    Parvin, Mst. Rina
    Ferdousi, Silvia
    NURSING OPEN, 2024, 11 (01):