ENHANCING CLINICAL DOCUMENTATION QUALITY AND PATIENT OUTCOMES THROUGH THE INTEGRATION OF NURSING STAFF, EMERGENCY MEDICAL SERVICES, ADMINISTRATIVE ASSISTANTS, AND MEDICAL CODING TECHNICIANS

Abstract

Introduction: The need of patient safety and efficiency in healthcare is a clinical documentation. Older techniques are likely to be inaccurate and time consuming and thus may influence clinical judgments. The solution to the quality of documentation and patient outcomes is the use of AI-assisted tools and Interprofessional collaboration between nurses, EMS personnel, administrative assistants, coding technicians, and informatics specialists (Biswas and Talukdar, 2024; Leong, Gao, and Ji, 2024).

Aim of Work:To address the question of how AI-assisted documentation combined with multidisciplinary teams can improve the accuracy of clinical notes, lessen the workload of clinicians, and improve patient-centered care.

Methods: The literature review of the articles on AI documentation, digital scribes, and EMR systems was carried out, and the impact that these systems have on accuracy, efficiency, standardization, and workflow integration were examined. Ethical and human aspects were taken into consideration as well.

Results: The use of AI-assisted documentation and team collaboration enhanced the quality of notes, error reduction, more efficiency, and improved patient care. The technical restrictions, ethical issues, and training requirements are the challenges (Saeidnia et al., 2024; Kernberg et al., 2024).

Conclusion: With the use of AI tools and multidisciplinary teamwork, documentation, patient outcomes, and burden on clinicians can be improved, although ethical and workflow issues should be tackled.