Evaluating Generated Layouts in a Healthcare Departmental Adjacency Optimization Problem

Jennifer I. Lather, Timothy Logan, Kate Renner, John I. Messner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The effective layout of departments within a new hospital influences the efficiency and effectiveness of delivering healthcare services. This study explores a computational approach to generate and evaluate potential hospital layouts. Given a set of healthcare departments, areas, and structural bay sizes, a graph theoretical approach with a placement strategy was used to develop an initial set of optimal and near optimal layouts based on both adjacency ratings and distances. Input data of adjacency ratings was collected from experts involved in the design of a new hospital project. An optimal adjacency graph was calculated and a placement strategy with a discrete set of constraints was used. Each layout was given a distance weighted score based on the pair-wise distance weighted adjacency rating. Healthcare planning and design experts were surveyed for their input on the use of this approach. Comparison of their results to the layout scores indicate that planning and design experts select the best scoring layouts more consistently than the worst scoring layouts.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2019
Subtitle of host publicationData, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
EditorsYong K. Cho, Fernanda Leite, Amir Behzadan, Chao Wang
PublisherAmerican Society of Civil Engineers (ASCE)
Pages539-546
Number of pages8
ISBN (Electronic)9780784482438
StatePublished - 2019
EventASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019 - Atlanta, United States
Duration: Jun 17 2019Jun 19 2019

Publication series

NameComputing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019
CountryUnited States
CityAtlanta
Period6/17/196/19/19

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Civil and Structural Engineering

Fingerprint Dive into the research topics of 'Evaluating Generated Layouts in a Healthcare Departmental Adjacency Optimization Problem'. Together they form a unique fingerprint.

Cite this