Related Experiment Video
Updated: May 18, 2026
08:58
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
Using data to drive emergency department design: a metasynthesis.
1Intermountain Institute for Health Care Delivery Research, USA. sharijwelch@gmail.com
HERD
|September 26, 2012
Summary
Synthesizing emergency department (ED) operations research provides critical data for ED design. Integrating operational improvements with thoughtful design optimizes patient flow and departmental function.
Area of Science:
- Operations Research
- Healthcare Design
- Emergency Medicine
Background:
- Growing body of research on emergency department (ED) operations and data collection.
- Challenges in disseminating ED operational innovations to practitioners and design professionals.
- Need to translate operational data into actionable insights for ED design.
Purpose of the Study:
- To synthesize current ED operations research for design professionals.
- To bridge the gap between ED operational data and architectural/design strategies.
- To inform the design of more efficient and effective emergency departments.
Main Methods:
- Comprehensive literature search using PubMed and Google Scholar.
- Inclusion of data from the Emergency Department Benchmarking Alliance database.
- Review of data presented at relevant conferences and proceedings.
Main Results:
- Identification of optimal sizing for ED functional units based on operational data.
- Understanding of ED arrival and census curves for dynamic capacity planning.
- Categorization of operational improvements into input, throughput, and outflow.
Conclusions:
- ED operational data has direct applications for improving ED design.
- Optimizing ED functioning requires a synergy between efficient processes and effective design.
- This synthesis aims to inform multidisciplinary teams of architects, designers, and clinicians.
Related Concept Videos
01:15Methods of Documentation VI: Case Management Model
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
For example, a patient with a chronic illness...
01:25Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
01:20Study Designs in Epidemiology
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
01:15Study Design in Statistics
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
01:03Data Validation
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
01:28Structure-Activity Relationships and Drug Design
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...