Using a scripted data entry process to transfer legacy immunization data while transitioning between electronic medical record systems.

BACKGROUND: Transitioning between Electronic Medical Records (EMR) can result in patient data being stranded in legacy systems with subsequent failure to provide appropriate patient care. Manual chart abstraction is labor intensive, error-prone, and difficult to institute for immunizations on a systems level in a timely fashion. OBJECTIVES: We sought to transfer immunization data from two of our health system's soon to be replaced EMRs to the future EMR using a single process instead of separate interfaces for each facility. METHODS: We used scripted data entry, a process where a computer automates manual data entry, to insert data into the future EMR. Using the Center for Disease Control's CVX immunization codes we developed a bridge between immunization identifiers within our system's EMRs. We performed a two-step process evaluation of the data transfer using automated data comparison and manual chart review. RESULTS: We completed the data migration from two facilities in 16.8 hours with no data loss or corruption. We successfully populated the future EMR with 99.16% of our legacy immunization data - 500,906 records - just prior to our EMR transition date. A subset of immunizations, first recognized during clinical care, had not originally been extracted from the legacy systems. Once identified, this data - 1,695 records - was migrated using the same process with minimal additional effort. CONCLUSIONS: Scripted data entry for immunizations is more accurate than published estimates for manual data entry and we completed our data transfer in 1.2% of the total time we predicted for manual data entry. Performing this process before EMR conversion helped identify obstacles to data migration. Drawing upon this work, we will reuse this process for other healthcare facilities in our health system as they transition to the future EMR.

Obsessionality in eating-disorder patients: relationship to clinical presentation and two-year outcome.

Obsessionality and obsessive-compulsive symptoms have been regarded as important characteristics in the clinical presentation of the eating disorders. In this report, we examined the relation between obsessionality and the clinical presentation and outcome of a sample of eating-disordered patients. Self-rated obsessional symptoms, defined by the obsessive-compulsive subscale of the Symptom Checklist 90 (revised version), were compared with presenting clinical symptomatology, and scores on the Eating Disorder Inventory (EDI) and Beck Depression Inventory (BDI) in a sample of 110 consecutively evaluated women who met DSM-IIIR criteria for eating disorders. Forty patients were contacted for a follow-up investigation, 2 years after the initial evaluation. Higher obsessive-compulsive subscale scores at presentation were associated with more severe dieting, a greater number of psychiatric hospitalizations, and higher EDI, SCL-90R and BDI scores. Initial obsessive-compulsive scores did not predict the subsequent outcome of a sample of these patients in the community. However, elevated obsessive-compulsive scores obtained at follow-up were associated with the presence of lower body weight and more severe eating-disorder symptoms at that time. These results support the hypothesis that elevated obsessionality is associated with more severe eating disorder symptomatology. In addition, obsessional symptoms change along with those of the eating disorder, and their persistence may be associated with a poorer outcome.