| Literature DB >> 12363046 |
S Y Edna Chan1, Jeff Ohlmann, Steven Dunbar, Charlene Dunbar, Sarah Ryan, Paul Savory.
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.Mesh:
Year: 2002 PMID: 12363046 DOI: 10.1023/a:1019744602444
Source DB: PubMed Journal: Health Care Manag Sci ISSN: 1386-9620