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Related Experiment Videos

Advanced Multi-Attribute Scoring Technique (AMAST): a model scoring methodology for the request for proposal (RFP).

S F Mandell1, J R Duke, D Taliaferro

  • 1Harbor Hospital Center, Baltimore, Maryland 21230.

Journal of Medical Systems
|June 1, 1989
PubMed
Summary
This summary is machine-generated.

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Healthcare facilities need a systematic approach to evaluate automated systems. The Advanced Multi-Attribute Scoring Technique (AMAST) can improve decision-making and reduce risks in system procurement.

Area of Science:

  • Health Informatics
  • Decision Science
  • Systems Engineering

Background:

  • Healthcare facilities face increasing demand for advanced automated systems.
  • The Request for Proposal (RFP) is central to system acquisition.
  • Evaluating the extensive data within RFPs requires a structured methodology.

Purpose of the Study:

  • To introduce a systematic process for evaluating automated systems in healthcare.
  • To demonstrate the utility of the Advanced Multi-Attribute Scoring Technique (AMAST) in RFP analysis.
  • To enhance decision-making and mitigate risks in healthcare system procurement.

Main Methods:

  • Application of the Advanced Multi-Attribute Scoring Technique (AMAST).
  • Systematic evaluation of data collected during the RFP process.

Related Experiment Videos

  • Comparative analysis of decision-making frameworks for system acquisition.

    • Main Results:

    • AMAST provides a structured framework for evaluating complex system data.
    • The technique enhances the objectivity and efficiency of the decision-making process.
    • Implementation of AMAST is shown to reduce procurement risks.

    Conclusions:

    • The Advanced Multi-Attribute Scoring Technique (AMAST) is an effective tool for healthcare system procurement.
    • A systematic approach to RFP evaluation is crucial for successful technology adoption.
    • AMAST supports informed decisions, leading to better outcomes in automated system implementation.