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The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):

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Related Experiment Video

Updated: May 18, 2026

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities
12:33

High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities

Published on: November 15, 2013

[Not Available].

Albert Salazar1, Núria Cobalea, Xavier Martin

  • 1Hospital Mútua de Terrassa. Terrassa. Barcelona. España.

Revista De Calidad Asistencial : Organo De La Sociedad Espanola De Calidad Asistencial
|October 9, 2012
PubMed
Summary
This summary is machine-generated.

A new hospital bed management model significantly reduced emergency department (ED) admission rates and patient wait times. This centralized bed assignment system improved overall hospital efficiency and patient flow.

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Area of Science:

  • Hospital administration and management
  • Healthcare systems engineering
  • Patient flow optimization

Context:

  • Hospitals face challenges in efficiently managing bed allocation, leading to delays and overcrowding.
  • Effective bed management is crucial for optimizing patient throughput and resource utilization.
  • The study evaluated a novel model implemented in an admission unit to address these issues.

Purpose:

  • To assess the effectiveness of a centralized hospital bed assignment model.
  • To determine the impact of a priority bed assignment system on hospital operations.
  • To evaluate changes in key performance indicators before and after model implementation.

Summary:

  • A hospital implemented a new model in 2005, including a 24-hour holding unit and priority bed assignment.
  • Data from 2004, 2005, and 2006 were analyzed to compare outcomes.
  • Key metrics such as ED admission rate, emergency pressure, and length of stay were tracked.

Impact:

  • The model led to a significant decrease in the ED admission rate (11.9% to 9.2%) and emergency pressure (53.4% to 46.2%).
  • Mean length of stay in the ED decreased substantially, from 9h 45m to 5h 39m.
  • The number of emergency admissions waiting for a bed at 8 a.m. dropped by over 47%, and elective surgical cancellation rates decreased.