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A digital computer and a lung function test service: efficiency and costs

C J Derrett, D P Jones, J V Collins

    British Journal of Diseases of the Chest
    |January 1, 1977
    PubMed
    Summary
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    Digital computers significantly reduce lung function test calculation time by 20%, improving lab efficiency. However, computer costs may outweigh hiring additional respiratory technicians.

    Area of Science:

    • Pulmonary Medicine
    • Medical Technology
    • Health Informatics

    Background:

    • Routine lung function tests require time-consuming calculations.
    • Manual calculation methods can be a bottleneck in pulmonary diagnostics.
    • Evaluating technological aids for clinical laboratory efficiency is crucial.

    Purpose of the Study:

    • To assess the time-saving potential of using an off-line digital computer for routine lung function test calculations.
    • To compare the efficiency of digital computer calculations versus electronic calculators.
    • To evaluate the economic feasibility of implementing computer systems in pulmonary function laboratories.

    Main Methods:

    • An off-line digital computer was utilized for calculating lung function test results.

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  • Calculation times were compared between the digital computer and a simple electronic calculator.
  • Potential increases in laboratory workload were projected based on time savings.

    • Main Results:

    • Digital computer use resulted in an average time saving of 20% (9.8 minutes) per patient.
    • This efficiency gain could potentially increase laboratory capacity from 1250 to 1500 patients annually.
    • The cost of necessary computer equipment was found to exceed the expense of hiring an additional lung function technician.

    Conclusions:

    • Digital computers offer significant time efficiencies in processing lung function test results.
    • While improving throughput, the initial investment in computer technology presents a cost-benefit challenge compared to staffing.
    • Further economic analysis is needed to determine the optimal balance between technology adoption and personnel costs in pulmonary function labs.