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Towards an evaluation framework for Laboratory Information Systems.

Maryati M Yusof1, Azila Arifin1

  • 1Centre for Software Technology & Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.

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|September 26, 2016
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Summary
This summary is machine-generated.

Laboratory Information System (LIS) errors impact patient care. A new socio-technical framework, TTP-LIS, improves laboratory testing processes and reduces errors by evaluating the total testing process and system integration.

Keywords:
ErrorEvaluationFrameworkLaboratory Information SystemsTotal Testing Process

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Area of Science:

  • Clinical Informatics
  • Laboratory Medicine
  • Health Systems Engineering

Background:

  • Laboratory testing and reporting are prone to errors and redundancy, impacting patient treatment and clinical decisions.
  • Existing evaluations of laboratory testing and Laboratory Information Systems (LIS) are insufficient to address these issues.
  • A comprehensive approach is needed to improve laboratory testing processes and LIS functionality.

Purpose of the Study:

  • To introduce a novel evaluation framework for LIS.
  • To integrate the laboratory testing cycle with the socio-technical aspects of LIS.
  • To enhance the efficiency and accuracy of laboratory testing processes.

Main Methods:

  • A literature review of laboratory testing and LIS evaluation methods was conducted.
  • Critical appraisal of the Total Testing Process (TTP) and Human, Organization, Technology-fit (HOT-fit) frameworks.
  • Identification of error sources, contributing factors, and preventative actions within laboratory testing and LIS.

Main Results:

  • A new, comprehensive, socio-technical evaluation framework for LIS (TTP-LIS) is presented.
  • Positive staff relationships enhance laboratory testing efficiency and reduce errors.
  • Effective LIS utilization streamlines laboratory workflows.

Conclusions:

  • The TTP-LIS framework offers a valuable tool for assessing and resolving issues in laboratory testing processes and systems.
  • This framework promotes a holistic approach to improving laboratory information management.
  • Implementation can lead to significant improvements in laboratory testing accuracy and efficiency.