Literature DB >> 809787

Allocation of resources for ambulatory care -a staffing model for outpatient clinics.

B D Mansdorf.   

Abstract

The enormous commitment of resources to ambulatory health care services requires that flexible and easily implementable management techniques be developed to improve the allocation of health manpower and funds. This article develops a feasible model for staffing outpatient clinics and thereby potentially provides an important analytical tool for allocating and monitoring the utilization of the most critical and expensive of ambulatory care resources-professional and nonprofessional clinic personnel. The model is simplistic, extremely flexible, and can be applied to many modes of delivering ambulatory care-from HMOs to traditional hospital outpatient clinics. To employ the model, certain decision variables must be specified so that the model can produce a least-cost staffing configuration to meet the demand for service in accordance with the desired mode and intensity of care. The key decision varables that require input from administrators and medical personnel include standards for physician-patient contact time, a desired ratio of staff time actually spent treating patients to total paid staff time, and the desired mix of various staff categories to achieve program objectives. Specific benefits of using the model include determining staffing for new, expanded, or existing outpatient clinics, determining budget requirements for such staffing needs, and providing quantitative productivity and utilization objectives and measurements.

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Year:  1975        PMID: 809787      PMCID: PMC1437857     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  1 in total

1.  A Robust Predictive Resource Planning under Demand Uncertainty to Improve Waiting Times in Outpatient Clinics.

Authors:  Jyoti R Munavalli; Shyam Vasudeva Rao; Aravind Srinivasan; Usha Manjunath; G G van Merode
Journal:  J Health Manag       Date:  2017-11-18
  1 in total

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