Condensation and Associated Microbial Growth in Air-Conditioned Healthcare Facilities in Tropical Climate—A Case Study

2020 ◽  
pp. 371-380
Author(s):  
V. K. Vikas ◽  
C. Muraleedharan ◽  
B. Hariprasad
Keyword(s):  
Microbial Growth ◽  
Tropical Climate ◽  
Healthcare Facilities

scholarly journals Analysis of energy usage in mosques in urban area with tropical climate: case study in Yogyakarta, Indonesia

2020 ◽  
Vol 599 ◽  
pp. 012091
Author(s):  
Suhono ◽  
A D Athaya ◽  
L H Anwari ◽  
F D H Sinaga ◽  
S F Hadaina ◽  
...  
Keyword(s):  
Urban Area ◽  
Tropical Climate ◽  
Energy Usage

scholarly journals DEEP SCOPE: A Framework for Safe Healthcare Design

2021 ◽  
Vol 18 (15) ◽  
pp. 7780
Author(s):  
Ellen Taylor ◽  
Sue Hignett
Keyword(s):  
Human Factor ◽  
Healthcare Facility ◽  
Built Environments ◽  
Facility Design ◽  
Healthcare Facilities ◽  
Healthcare Design ◽  
Accident Causation ◽  
Healthcare Facility Design

Thinking in patient safety has evolved over time from more simplistic accident causation models to more robust frameworks of work system design. Throughout this evolution, less consideration has been given to the role of the built environment in supporting safety. The aim of this paper is to theoretically explore how we think about harm as a systems problem by mitigating the risk of adverse events through proactive healthcare facility design. We review the evolution of thinking in safety as a safety science. Using falls as a case study topic, we use a previously published model (SCOPE: Safety as Complexity of the Organization, People, and Environment) to develop an expanded framework. The resulting theoretical model and matrix, DEEP SCOPE (DEsigning with Ergonomic Principles), provide a way to synthesize design interventions into a systems-based model for healthcare facility design using human factors/ergonomics (HF/E) design principles. The DEEP SCOPE matrix is proposed to highlight the design of safe healthcare facilities as an ergonomic problem of design that fits the environment to the user by understanding built environments that support the “human” factor.

MEASURING SPATIAL HEALTHCARE FACILITIES ACCESSIBILITY USING TWO-STEP FLOATING CATCHMENT ANALYSIS (2SFCA) (Case Study: Cianjur Regency, Indonesia)

2021 ◽  
pp. 11
Author(s):  
Muhamad Iqbal Januadi Putra ◽  
Nabila Dety Novia Utami
Keyword(s):  
Travel Time ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Spatial Accessibility ◽  
Healthcare Facilities ◽  
Spatial Disparities ◽  
Time Threshold

The presence of healthcare facilities is quite essential to provide good healthcare services in a particular area, however, the existence of healthcare facilities is not evenly distributed in Cianjur Regency. This condition leads to the disparities of healthcare facilities across the Cianjur Regency. In this paper, we aim to measure and map the spatial disparities of healthcare facilities using a Two-Step Floating Catchment Analysis (2SFCA). This method can calculate the magnitude of spatial accessibility for healthcare facilities by formulating the travel time threshold and the quality of healthcare facilities across the study area. This research shows the result that the spatial accessibility of healthcare facilities in the Cianjur Regency is not evenly distributed across the districts. The spatial accessibility value resulted from 2SFCA is ranging from 0- 3.97. A low value indicates low spatial accessibility, while a higher value shows good accessibility. The majority of districts in the Cianjur Regency have the spatial accessibility value 0-0.5 (86%). Meanwhile, only a few have the higher value; value 0.5-0.99 as much as 6.6%, 0.99-1.49 as 3.3%, and 3.48-3.97 has a percentage of 3.3%. Also, this analysis results in the cluster of good spatial accessibility in healthcare facilities, namely the Pagelaran District and Cipanas District. Interestingly, the downtown of Cianjur Regency has lower spatial accessibility compared to both areas.

scholarly journals SHIMMER (1.0): a novel mathematical model for microbial and biogeochemical dynamics in glacier forefield ecosystems

2015 ◽  
Vol 8 (10) ◽  
pp. 3441-3470 ◽  
Author(s):  
J. A. Bradley ◽  
A. M. Anesio ◽  
J. S. Singarayer ◽  
M. R. Heath ◽  
S. Arndt
Keyword(s):  
Organic Matter ◽  
Microbial Biomass ◽  
Microbial Growth ◽  
Model Development ◽  
Biogeochemical Cycling ◽  
Biogeochemical Model ◽  
Model Parameters ◽  
Glacier Forefield ◽  
Unconstrained Model

Abstract. SHIMMER (Soil biogeocHemIcal Model for Microbial Ecosystem Response) is a new numerical modelling framework designed to simulate microbial dynamics and biogeochemical cycling during initial ecosystem development in glacier forefield soils. However, it is also transferable to other extreme ecosystem types (such as desert soils or the surface of glaciers). The rationale for model development arises from decades of empirical observations in glacier forefields, and enables a quantitative and process focussed approach. Here, we provide a detailed description of SHIMMER, test its performance in two case study forefields: the Damma Glacier (Switzerland) and the Athabasca Glacier (Canada) and analyse sensitivity to identify the most sensitive and unconstrained model parameters. Results show that the accumulation of microbial biomass is highly dependent on variation in microbial growth and death rate constants, Q10 values, the active fraction of microbial biomass and the reactivity of organic matter. The model correctly predicts the rapid accumulation of microbial biomass observed during the initial stages of succession in the forefields of both the case study systems. Primary production is responsible for the initial build-up of labile substrate that subsequently supports heterotrophic growth. However, allochthonous contributions of organic matter, and nitrogen fixation, are important in sustaining this productivity. The development and application of SHIMMER also highlights aspects of these systems that require further empirical research: quantifying nutrient budgets and biogeochemical rates, exploring seasonality and microbial growth and cell death. This will lead to increased understanding of how glacier forefields contribute to global biogeochemical cycling and climate under future ice retreat.

scholarly journals Influence of Dam to Rainfall-Runoff Response in a Tropical Climate – A Case Study of Selangor River Basin, Malaysia

2021 ◽  
Vol 1153 (1) ◽  
pp. 012004
Author(s):  
A F Bahar ◽  
Z Yusop ◽  
N E Alias ◽  
M W A Ramli
Keyword(s):  
River Basin ◽  
Tropical Climate ◽  
Rainfall Runoff

scholarly journals Evacuation Data from a Hospital Outpatient Drill The Case Study of North Shore Hospital

2020 ◽  
Vol 5 ◽  
Author(s):  
Anass Rahouti ◽  
Ruggiero Lovreglio ◽  
Phil Jackson ◽  
Sélim Datoussaïd
Keyword(s):  
Built Environment ◽  
Fire Safety ◽  
Movement Time ◽  
Data Set ◽  
Healthcare Facilities ◽  
Staff Members ◽  
North Shore ◽  
The North ◽  
The Impact

Assessing the fire safety of buildings is fundamental to reduce the impact of this threat on their occupants. Such an assessment can be done by combining existing models and existing knowledge on how occupants behave during fires. Although many studies have been carried out for several types of built environment, only few of those investigate healthcare facilities and hospitals. In this study, we present a new behavioural data-set for hospital evacuations. The data was collected from the North Shore Hospital in Auckland (NZ) during an unannounced drill carried out in May 2017. This drill was recorded using CCTV and those videos are analysed to generate new evacuation model inputs for hospital scenarios. We collected pre-movement times, exit choices and total evacuation times for each evacuee. Moreover, we estimated pre-movement time distributions for both staff members and patients. Finally, we qualitatively investigated the evacuee actions of patients and staff members to study their interaction during the drill. The results show that participants were often independent from staff actions with a majority able to make their own decision.

scholarly journals Application of Lean Six Sigma to Improve Service in Healthcare Facilities Management: A Case Study

2017 ◽  
Vol 1 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Will T. Shirey ◽  
Kenneth Timothy Sullivan ◽  
Brian Lines ◽  
Jake Smithwick
Keyword(s):  
Quality Improvement ◽  
Six Sigma ◽  
Healthcare Organization ◽  
Research Literature ◽  
Lean Six Sigma ◽  
Facilities Management ◽  
Post Intervention ◽  
Healthcare Facilities ◽  
Computerized Maintenance Management System

ABSTRACT The purpose of this paper is to present a case study on the application of the Lean Six Sigma (LSS) quality improvement methodology to facilities management (FM) services at a healthcare organization. Research literature was reviewed concerning whether or not LSS has been applied in healthcare-based FM, but no such studies have been published. This paper aims to address the lack of an applicable methodology for LSS intervention within the context of healthcare-based FM. The Define, Measure, Analyze, Improve, and Control (DMAIC) framework was followed to test the hypothesis that LSS can improve the service provided by an FM department responsible for the maintenance and repair of furniture and finishes at a large healthcare organization in the southwest United States of America. Quality improvement curricula and resources offered by the case study organization equipped the FM department to apply LSS over the course of a five-month period. Qualitative data were gathered from pre- and post-intervention surveys while quantitative data were gathered with the Organization's computerized maintenance management system (CMMS) software. Overall, LSS application proved to be useful for the intended purpose. The authors proposes that application of LSS by other FM departments to improve their services could also be successful, which is noteworthy and deserving of continued research.

Risk Management in the Healthcare Facilities: Case Study

2021 ◽  
Author(s):  
Vichova K. ◽  
Peterek K.
Keyword(s):  
Risk Management ◽  
Healthcare Facilities

Applying Discrete Event Simulation (DES) in Healthcare

2015 ◽  
pp. 390-410
Author(s):  
Stavros T. Ponis ◽  
Angelos Delis ◽  
Sotiris P. Gayialis ◽  
Panagiotis Kasimatis ◽  
Joseph Tan
Keyword(s):  
Discrete Event Simulation ◽  
Capacity Planning ◽  
Planning Process ◽  
Discrete Event ◽  
Healthcare Facilities ◽  
Performance Improvements ◽  
Event Simulation ◽  
Health Insurance Provider ◽  
And Performance

This paper highlights the opportunities and challenges of applying Discrete Event Simulation (DES) to support capacity planning of a network of outpatient facilities. Despite an abundance of studies using simulation techniques to examine the operation and performance of outpatient clinics, the problem of capacity allocation and planning of medical services within a network of outpatient healthcare facilities appears to be underexplored. Here, a case study of a health insurance provider that operates a network of six outpatient medical facilities in the US is used to illustrate and explore the synthesizing and adaptive, yet parsimonious nature of using DES methodology for network design and capacity planning. Results of this case study demonstrate that significant performance improvements for the network operator can be achieved with applying DES method to support the network facility capacity planning process.

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