天美传媒

ISSN: 2572-0899

Global Journal of Nursing & Forensic Studies
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  • Case Report   
  • Glob J Nurs Forensic Stud 09: 347.,

AI: Forensic Nursing Documentation, Evidence, and Ethics

Prof. Michael J. Lawrence*
Department of Nursing Informatics, College of Nursing, Western State University, Seattle, USA
*Corresponding Author : Prof. Michael J. Lawrence, Department of Nursing Informatics, College of Nursing, Western State University, Seattle, USA, Email: m.lawrence@wsu.edu

Abstract

Artificial Intelligence (AI) is transforming nursing practice, particularly forensic nursing documentation. AI applications enhance efficiency and accuracy in record-keeping, automate tasks, and improve overall data quality, creating stronger evidence trails for legal proceedings. Natural Language Processing (NLP) extracts critical clinical information, while AI-powered decision support systems guide precise documentation. AI also improves Electronic Health Records (EHR) data quality by detecting errors and omissions. Understanding the ethical and legal implications, alongside workflow optimization and effective nursing education, is crucial for successful AI integration and for ensuring legally defensible forensic records. Nurses’ perceptions and attitudes are also vital for confident adoption.

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