Objective: Investigators with the Utah Center of Excellence in Public Health Informatics aim to identify appropriate metrics to evaluate the impact of UT-NEDSS and RT-CEND and implement an ongoing monitoring system that does not interfere with workflow.
Methods: To identify metrics, we conducted an observation study of the work processes at the Salt Lake Valley Health Department (SLVHD) and conducted interviews with epidemiologists and other personnel. We defined and collected baseline data using observations and existing surveillance data.
Results: We documented the major processes at a local health department when a case report is received and investigated. We selected workflow and surveillance metrics that can be operationalized, including: Number (%) of out-of county cases received, Total number of unique (non-duplicate) cases received, Number of auxiliary databases (and number of common data fields) needed to manage workflow, and time to complete an investigation. We are currently gathering baseline data.
Conclusion: We have documented work processes involved with managing a case report at a local health department. We have identified appropriate metrics to evaluate the impact of electronic surveillance systems on their work flow and will report on progress with the evaluation as systems are implemented and enhanced.
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