Electronic health record (EHR) documentation in the operating room provides a critical foundation for clinical decision-making, quality monitoring, billing and medico-legal accountability. Much of this information is entered manually by nursing staff during surgical procedures that require continuous attention to patient safety, coordination and workflow demands. Human reliability research shows that performance declines as cognitive load and environmental complexity increase, even during tasks considered routine. Time-stamping of intraoperative events is typically viewed as a straightforward documentation activity, yet it occurs alongside multitasking, interruptions and shared responsibilities. Observational evaluation of documentation practices in a surgical setting reveals how workflow timing, staffing patterns and procedural complexity influence the accuracy of EHR data that organisations rely on for operational and clinical insight.
Documentation Accuracy Across Surgical Events
Observation of intraoperative nursing documentation focused on six time-stamping events recorded during surgery: patient entry into the operating room, pre-procedure verification, final timeout, incision, wound closure and patient exit. Over ten weeks, 202 surgical cases produced 1,217 documented events out of 1,240 possible entries, representing a capture rate of 98.1% Among those recorded events, 1,010 were documented accurately within 60 seconds of occurrence. The overall documentation error rate was 17.01%, substantially higher than the expected error range of 0.1-0.5% associated with simple routine tasks in high-end manufacturing environments.
Must Read:Semantic Models Improve EHR Risk Transfer
Error rates varied across procedural stages. Pre-procedure verification demonstrated the highest error rate at 27.31%, followed by patient exit from the operating room at 20.30%. Moderate error levels were observed for timeout and wound closure events, while the lowest error rates were associated with incision and patient entry. Each surgical case required extensive documentation activity, averaging 253 clickable charting events in the EHR. The scale of required documentation illustrates the cumulative exposure to potential inaccuracy during routine clinical workflows.
Delays in Documentation and Environmental Complexity
Documentation delays were recorded in 630 events, representing 51.4% of all observed entries. Delays occurred most frequently during pre-procedure verification and timeout events, which coincide with periods of intense team activity and multitasking in the operating room. These stages often involve multiple staff members performing concurrent tasks, contributing to environmental complexity. Average delay duration varied by event type, with the longest delays occurring during pre-procedure verification and patient entry documentation.
A strong relationship was identified between delay duration and documentation accuracy. When no delay occurred, the error rate was 1.3%. Error rates increased progressively with longer delays, reaching 26.93% for delays of 1-10 minutes, 36.15% for 11-20 minutes and 38.43% for delays exceeding 20 minutes. Correlation analysis demonstrated a strong positive association between delay frequency and documentation error rates.
Operating room characteristics also influenced performance. Larger operating rooms were associated with higher error rates during pre-procedure verification, particularly in surgical services requiring more equipment and personnel. The presence of multiple nurses responsible for charting during early procedural stages was similarly linked to increased documentation errors. These findings indicate that environmental complexity and shared responsibilities can affect documentation reliability even when the underlying task remains unchanged.
Service-Line Variation and System-Level Impact
Differences in documentation performance were observed across surgical service lines. Gastroenterology procedures showed the lowest documentation error rate at 9.3%, while orthopaedic procedures demonstrated the highest rate at 33.9%. Neurosurgery and multi-panel procedures also exhibited elevated error levels. Delay patterns followed a similar distribution, with orthopaedics and neurosurgery showing the highest proportion of delayed documentation and longer average delay durations. These variations reflect differences in workflow complexity, equipment requirements and team size across surgical specialties.
The cumulative volume of documentation activity highlights broader operational implications. Operating rooms performing more than 10,000 cases annually generate approximately 2.53 million nurse charting tasks each year. Inaccurate time-stamping can affect quality assurance processes, retrospective analysis and root cause investigations. Although audit mechanisms can detect discrepancies, they require additional labour and infrastructure and cannot fully compensate for inaccuracies introduced at the point of documentation. Errors in timestamp data may limit the ability to identify contributing factors during safety investigations and may reduce the effectiveness of improvement strategies.
Workforce trends add further pressure to manual documentation processes. Rising healthcare utilisation and projected increases in surgical volume coincide with anticipated retirement of experienced nursing staff, intensifying reliance on efficient documentation systems. These conditions highlight the importance of reducing dependence on retrospective manual entry in complex clinical environments.
Intraoperative EHR time-stamping demonstrates substantially higher error rates than expected for routine documentation tasks, reflecting the influence of workflow delays, multitasking and environmental complexity in the operating room. Documentation accuracy declines as delays increase, and performance varies across procedural stages and surgical specialties. These findings emphasise the limitations of human-entered data in high-demand clinical settings. For healthcare organisations, improving the reliability of perioperative documentation will require approaches that reduce cognitive burden and support accurate real-time recording of clinical events. Strengthening documentation systems is essential to maintaining data quality for patient safety, operational analysis and continuous improvement in surgical care.
Source: Journal of Medical Systems
Image Credit: iStock
