Psycho-environmental processes of hospital design and their role during the COVID-19 pandemic (Procesos psicoambientales del diseño de hospitales y su implicación durante la pandemia por COVID-19)

The article is devoted to the issues of measuring environmentally oriented economic development. The current stage of economic development requires the integration of environmental development, taking into account: environmental boundaries, biosphere processes, social problems, human needs and environmental processes. A green economy can become the main point of growth for the modern global economy. The article presents a complex of measures for the transition to a green economy, as well as tools for their implementation.

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The Psychological Supportive Design Features in Hospitals: Case of a Public Jordanian Hospital in Amman

HERD Health Environments Research & Design Journal ◽

10.1177/19375867211029560 ◽

2021 ◽

pp. 193758672110295

Author(s):

Nadine Al-Bqour ◽

Shaher Rababeh ◽

Rama Al-Rabady

Keyword(s):

Interior Design ◽

Public Hospital ◽

Psychological Needs ◽

Design Features ◽

Healthcare Facilities ◽

Hospital Design ◽

Third World Country ◽

Responsive Design ◽

Healing Environments ◽

Supportive Design

Purpose: The purpose of this study is to develop a practical framework that combines the psychological supportive design features in hospitals’ healing environments, also, to examine the implementation of these features in a Jordanian public hospital. Background: Positive psychological feelings are the hidden powerful treatment in hospitals. Although that Jordan represents a third-world country, it is counted as one of the most sought-after healthcare locations in the Middle East for its distinguished healthcare serveries (Private Hospitals Association, 2019). Nevertheless, the architectural and interior design of the healthcare facilities in Jordan usually ignores the inpatients’ psychological needs. Also, there is an absence of practicing a set of psychological supportive design features to guide the hospitals’ design in Jordan. Method: Design features are obtained from the main theories in the field of supportive healing environments. A large Jordanian public hospital was selected to be assessed in terms of these features within the developed practical framework. This study adopts a mixed methodology; data are collected using different methods, mainly literature review, site inventory, and inpatients’ questionnaire. Results: The studied hospital remains moderately considerable in terms of the psychologically supportive design features. However, the nature connectivity aspect is not satisfactorily considered in the studied hospital design. Conclusion: This study suggests a responsive design that fosters interaction and integration with surrounding nature in order to increase levels of connectivity with nature. The studied design features in this study could work as guiding principles for Jordanian hospitals’ designers.

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Analysis of factors affecting IoT-based smart hospital design

Journal of Cloud Computing Advances Systems and Applications ◽

10.1186/s13677-020-00215-5 ◽

2020 ◽

Vol 9 (1) ◽

Author(s):

Banu Çalış Uslu ◽

Ertuğ Okay ◽

Erkan Dursun

Keyword(s):

High Efficiency ◽

Health Sector ◽

Transformation Process ◽

Healthcare Management ◽

Hospital System ◽

Intelligent Computing ◽

Factors Affecting ◽

Hospital Design ◽

Road Map ◽

Smart Hospital

AbstractCurrently, rapidly developing digital technological innovations affect and change the integrated information management processes of all sectors. The high efficiency of these innovations has inevitably pushed the health sector into a digital transformation process to optimize the technologies and methodologies used to optimize healthcare management systems. In this transformation, the Internet of Things (IoT) technology plays an important role, which enables many devices to connect and work together. IoT allows systems to work together using sensors, connection methods, internet protocols, databases, cloud computing, and analytic as infrastructure. In this respect, it is necessary to establish the necessary technical infrastructure and a suitable environment for the development of smart hospitals. This study points out the optimization factors, challenges, available technologies, and opportunities, as well as the system architecture that come about by employing IoT technology in smart hospital environments. In order to do that, the required technical infrastructure is divided into five layers and the system infrastructure, constraints, and methods needed in each layer are specified, which also includes the smart hospital’s dimensions and extent of intelligent computing and real-time big data analytic. As a result of the study, the deficiencies that may arise in each layer for the smart hospital design model and the factors that should be taken into account to eliminate them are explained. It is expected to provide a road map to managers, system developers, and researchers interested in optimization of the design of the smart hospital system.

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Shifting Landscapes: The Impact of Centralized and Decentralized Nursing Station Models on the Efficiency of Care

HERD Health Environments Research & Design Journal ◽

10.1177/1937586717698812 ◽

2017 ◽

Vol 10 (5) ◽

pp. 80-94 ◽

Cited By ~ 11

Author(s):

Lindsey Fay ◽

Allison Carll-White ◽

Aric Schadler ◽

Kathy B. Isaacs ◽

Kevin Real

Keyword(s):

Team Approach ◽

Culture Of Care ◽

Hospital Design ◽

Unit Design ◽

Quantitative Results ◽

Nursing Station ◽

Efficient Care ◽

The Impact ◽

Integrated Team ◽

Data Collection Approach

Objective: The focus of this research was to analyze the impact of decentralized and centralized hospital design layouts on the delivery of efficient care and the resultant level of caregiver satisfaction. Background: An interdisciplinary team conducted a multiphased pre- and postoccupancy evaluation of a cardiovascular service line in an academic hospital that moved from a centralized to decentralized model. This study examined the impact of walkability, room usage, allocation of time, and visibility to better understand efficiency in the care environment. Method: A mixed-methods data collection approach was utilized, which included pedometer measurements of staff walking distances, room usage data, time studies in patient rooms and nurses’ stations, visibility counts, and staff questionnaires yielding qualitative and quantitative results. Results: Overall, the data comparing the centralized and decentralized models yielded mixed results. This study’s centralized design was rated significantly higher in its ability to support teamwork and efficient patient care with decreased staff walking distances. The decentralized unit design was found to positively influence proximity to patients in a larger design footprint and contribute to increased visits to and time spent in patient rooms. Conclusion: Among the factors contributing to caregiver efficiency and satisfaction are nursing station design, an integrated team approach, and the overall physical layout of the space on walkability, allocation of caregiver time, and visibility. However, unit design alone does not solely impact efficiency, suggesting that designers must consider the broader implications of a culture of care and processes.

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