e-Health in Occupational Accident Management: Insights From Nursing Practice Using the Digitalized Omaha System

Occupational accidents remain a critical public health concern globally and are especially prevalent in Türkiye. Integrating standardized nursing classification systems into electronic health records presents an opportunity to improve data quality, care coordination, and evidence-based decision-making. This study aimed to evaluate the clinical and informatics utility of the Omaha System, integrated into a digital electronic health records platform, for assessing and monitoring the health problems of workers hospitalized due to occupational accidents. A descriptive-longitudinal study was conducted with 45 workers admitted to an orthopedics and traumatology service in Türkiye following occupational accidents. Data were collected using a Personal Information Form and the Nightingale Notes platform, a digital electronic health records system structured around the Omaha System. The Problem Classification Scheme, Intervention Scheme, and Problem Rating Scale for Outcomes were used to identify problems, guide nursing interventions, and evaluate outcomes. The mean age of workers was 39.82±11.40 years. Hand and finger injuries were most common, affecting 75.6% of workers. Across the Problem Classification Scheme, 1274 problem entries were documented, including Neighborhood/Workplace Safety, Skin, Personal Care, Neuro-Musculoskeletal Function, Pain, and Role Change. A total of 2167 interventions were implemented, predominantly in the Teaching, Guidance, and Counseling category. Postintervention of the Problem Rating Scale for Outcomes evaluations showed statistically significant improvements in knowledge, behavior, and status (P<.05). The Omaha System-based electronic health records demonstrated clinical effectiveness in occupational health nursing by enabling systematic assessment, targeted interventions, and structured outcome monitoring. These findings support its broader applicability in occupational health surveillance, acute care services, and the development of data-driven, precision nursing practice.