Accession Number : ADA372426


Title :   Animated Simulation: Determining Cost Effective Nurse Staffing for an Acute Care Unit


Descriptive Note : Final rept. Jul 96-Jul 97


Corporate Author : ACADEMY OF HEALTH SCIENCES (ARMY) FORT SAM HOUSTON TX HEALTH CARE ADMINISTRATION


Personal Author(s) : Richard, Joan M


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a372426.pdf


Report Date : 19 Jun 1997


Pagination or Media Count : 103


Abstract : The purpose of this research project was to determine the appropriate mix of nursing personnel on the day shift for a given workload. The top management team at the Milwaukee Veterans Affairs Medical Center (VAMC) has questioned nursing staffing methodologies for several years. Nurse executives have been unable to educate the top management team on nurse staffing methodologies because they lacked quantifiable data to support the nurse staffing methodologies. Recently, the Department of Veteran Affairs Central Nursing Office instituted a new staffing methodology, called the Expert Panel-Based Methodology. Since this methodology once again utilized subjective data and individual judgments, the top management team was uncertain of its validity. Empirical data was collected for the time studies and retrospective data was analyzed in order to obtain a historical perspective on admissions, discharges, transfers onto the unit, transfers off the unit, average census, and cardiac catheterizations. This data was placed into a statistical package, Stat: :Fit, and the appropriate distributions were assigned to each measurement. The flow of the nursing unit's day shift was modeled in the computer simulation program, MedModel 3.01. A separate program was developed for each day of the week. The researcher then varied the staffing and determined the appropriate nurse staffing mix for the average daily census at the beginning of the shift and the workload for each day of the week.


Descriptors :   *COMPUTERIZED SIMULATION , *COST EFFECTIVENESS , *MILITARY MEDICINE , *MEDICAL SERVICES , *HEALTH CARE FACILITIES , SIMULATION , MANAGEMENT , TEAMS(PERSONNEL) , STATISTICS , SHIFTING , HISTORY , DAY , PERSONNEL , WORKLOAD , EXECUTIVES , DAILY OCCURRENCE , NURSES , NURSING , TIME STUDIES , CENSUS


Subject Categories : Medicine and Medical Research
      Medical Facilities, Equipment and Supplies
      Computer Programming and Software


Distribution Statement : APPROVED FOR PUBLIC RELEASE