Investigation of an electronic emergency department information system as a data source for respiratory syndrome surveillance.

Emergency department syndromic surveillance may provide early warning of disease outbreaks due to bioterrorism or natural phenomena. The purpose of this investigation was to explore how an electronic emergency department information system could be used as a data source for respiratory syndrome surveillance. The process of data collection, entry, and transmission is described, and then a subset of data elements with potential epidemiological value is selected. The quality of the data contained in the system was evaluated by conducting a retrospective analysis of emergency department visits recorded in the system during 2001 and by reviewing clinical charts of cases with respiratory diagnoses. Diagnosis codes, discharge disposition, and demographic data were relatively complete; additional clinical data were not. Diagnosis codes were rapidly and reliably recorded. Data available in the system allows a description of emergency department visits for respiratory syndrome in terms of age, gender, location, severity of illness, and distribution in time. Encrypted data were transmitted every four hours to the health department without added work for emergency department personnel. Although significant obstacles remain, electronic emergency department information systems such as this may provide rapid, reliable data for syndromic surveillance.

Security aspects of electronic data interchange between a state health department and a hospital emergency department.

Electronic emergency department reporting provides the potential for enhancing local and state surveillance capabilities for a wide variety of syndromes and reportable conditions. The task of protecting data confidentiality and integrity while developing electronic data interchange between a hospital emergency department and a state public health department proved more complex than expected. This case study reports on the significant challenges that had to be resolved to accomplish this goal; these included application restrictions and incompatibilities, technical malfunctions, changing standards, and insufficient dedicated resources. One of the key administrative challenges was that of coordinating project security with enterprise security. The original project has evolved into an ongoing pilot, with the health department currently receiving secure data from the emergency department at four-hour intervals. Currently, planning is underway to add more emergency departments to the project.

The effect of computer-assisted prescription writing on emergency department prescription errors.

OBJECTIVE: To determine whether computer-assisted prescription writing reduces the frequency of prescription errors in the emergency department (ED). METHODS: A pre-post retrospective analysis was used to compare errors between handwritten (HW) and computer-assisted (CA) ED prescriptions. Prescriptions were reviewed for pharmacist clarifications. A clarification was defined as an error if missing information, incorrect information, incorrect dose, non-formulary medication, or illegibility was the reason for clarification. The HW and CA error rates were compared using odds ratios (ORs) with 95% confidence intervals (95% CIs). RESULTS: During the pre-intervention period, there were 7,036 patient visits with 2,326 HW ED prescriptions filled for 1,459 patients. There were 91 clarifications, with a rate of 3.9%. There were 54 HW errors, for an error rate of 2.3%. During the post-intervention period, there were 7,845 patient visits with 1,594 CA prescriptions filled for 1,056 patients. There were 13 clarifications, with a clarification rate of 0.8%, and 11 errors, for a CA error rate of 0.7%. The CA prescriptions were substantially less likely to contain an error [OR 0.31 (95% CI = 0.10 to 0.36)] or to require pharmacist clarification [OR 0.19 (95% CI = 0.10 to 0.36)] than were the HW prescriptions. CONCLUSIONS: Computer-assisted prescriptions were more than three times less likely to contain errors and five times less likely to require pharmacist clarification than handwritten prescriptions.

Rural Hospital Transfer Patterns before and after Implementation of a Statewide Trauma System.

OBJECTIVE: To evaluate trauma transfer practices in rural Oregon before and after implementation of a statewide trauma system. METHODS: A pre- vs post-system implementation (historical control) analysis of trauma transfer practices was performed using a sample of rural ED trauma patients from 4 Level-3 and 5 Level-4 trauma hospitals. Medical records of patients with specific index injury diagnoses in 4 anatomic regions (head, chest, liver/ spleen, and femur/open-tibia) were reviewed for a 3-year period before statewide trauma system implementation and 3 years after hospital trauma designation. RESULTS: Of 1,057 patients entered into the database, 532 were evaluated during the pre-system period and 525 were evaluated during the post-system period. Overall, 47% had head injuries, 34% had chest injuries, 23% had femur/open-tibia injuries, and 12% had spleen/liver injuries. There were 142 (13%) patients with an injury in >1 index area. After trauma system implementation, there was a significant increase in the proportion of ED trauma patients transferred from Level-4 trauma hospitals (32% vs 68%, p < 0.001), with a corresponding decrease in the number of hospital admissions to these facilities (63% to 29%, p < 0.001). Significant increases in the proportion transferred from Level-4 trauma hospital EDs were noted for all index injury categories (p < 0.001). Trauma patients presenting to Level-4 EDs were significantly more likely to be transferred to Level-2 facilities (66% vs 82%, p = 0.030), while patients at Level-3 facilities were significantly more likely to be transferred to Level-1 centers (2% vs 14%, p = 0.002) following trauma system implementation. Multiple logistic regression modeling indicated that implementation of the statewide trauma system was an independent predictor of rural trauma patient transfer from Level-4 hospitals, while transfers from Level-3 facilities were dependent on type of injury. CONCLUSION: Implementation of the Oregon statewide trauma system was associated with a redistribution of rural trauma patients to trauma hospitals with greater therapeutic resources.