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Operations research methods applied to workflow in a medical records department
S Y Edna Chan1, Jeff Ohlmann, Steven Dunbar
1Operations Research, North Carolina State University, Raleigh 27695-7913, USA. schan@eos.ncsu.edu
Abstract:
Transcribing medical documents accurately into pre-defined formats and within certain time frames is vital for administrative and medical purposes in any hospital. This paper describes quantitative models incorporating available data to represent transcription activities of a medical records department. We forecasted the workload of the department, determined the optimal worker schedule and designed a simulation model to represent the workflow of the transcription function of a medical record department. The findings provided insight into the workflow, staffing and performance of the department.