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Related Experiment Videos

Computerization of a nursing financial management system using continuous quality improvement as a framework

D L Hlusko1, K S Weatherly, K G Franklin

  • 1Children's Hospital of the King's Daughters (CHKD), Norfolk, VA.

Computers in Nursing
|July 1, 1994
PubMed
Summary

Automating the Nursing Financial Management System (DNAS) reduced labor costs by 46% and improved resource allocation. This enhanced efficiency in nursing financial management and patient care delivery.

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Area of Science:

  • Healthcare Administration
  • Health Informatics
  • Nursing Management

Background:

  • The Department of Nursing Administrative Services (DNAS) relied on manual data processes for financial management.
  • Manual data integration of patient acuity, nursing resources, and financial data was labor-intensive and inefficient.
  • Existing processes incurred significant costs, estimated at $45,542 annually, with 52% of DNAS resources dedicated to data re-entry and report generation.

Purpose of the Study:

  • To improve data management within the DNAS through automation.
  • To enhance the efficiency and cost-effectiveness of nursing financial management.
  • To reduce service gaps caused by delays in manual report generation.

Main Methods:

  • Implementation of a continuous quality improvement framework.

Related Experiment Videos

  • Automation of data retrieval and report generation processes.
  • Computerization of the Nursing Financial Management System.

    • Main Results:

    • Departmental staff productivity significantly increased post-computerization.
    • Labor costs associated with reporting decreased from 52% to 6% of DNAS resources.
    • Timely reporting enabled better matching of nursing resources to patient demands, reducing hospital costs.

    Conclusions:

    • Automating data management in nursing financial systems leads to substantial labor cost savings.
    • Computerization enhances operational efficiency and resource allocation in healthcare settings.
    • Improved data management and timely reporting directly contribute to reduced hospital expenditures.