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Related Experiment Videos

A model for selecting a clinical laboratory information system. A four-phase process.

W Rose1, M Maffetone, E Suarez

  • 1Rush Medical College, Chicago, IL.

Clinical Laboratory Management Review : Official Publication of the Clinical Laboratory Management Association
|December 10, 1991
PubMed
Summary

Selecting a laboratory information system (LIS) is complex. This study introduces a four-phase multi-attribute utility (MAU) method to simplify LIS selection and improve outcomes for laboratories.

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Area of Science:

  • Laboratory Management
  • Health Informatics
  • Decision Science

Background:

  • Laboratory Information Systems (LISs) are crucial for laboratory efficiency.
  • The increasing number of LIS vendors complicates the selection process.
  • A structured approach is needed to navigate LIS selection complexities.

Purpose of the Study:

  • To present a Multi-Attribute Utility (MAU) method for selecting Laboratory Information Systems (LISs).
  • To simplify the complex process of choosing an appropriate LIS for laboratory needs.
  • To enhance the likelihood of selecting the most suitable LIS.

Main Methods:

  • The study outlines a four-phase MAU method for LIS selection.
  • Phase 1: Vendor identification and Request for Proposals (RFPs) dissemination.

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  • Phases 2-4: Analysis of RFP responses, vendor validation, and final selection.

    • Main Results:

    • The proposed MAU method provides a systematic framework for LIS selection.
    • It breaks down the complex decision into manageable, sequential steps.
    • Laboratories can expect a more streamlined and effective LIS procurement process.

    Conclusions:

    • The MAU method simplifies the intricate LIS selection process.
    • Implementing this structured approach increases the probability of choosing the optimal LIS.
    • This method aids laboratories in making informed decisions for improved operational effectiveness.