• Journal of The Korea Institute of Healthcare Architecture
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• v.26 no.1
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• pp.29-37
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• 2020

Purpose: The purpose of the research is to find difficulty levels of LEED credits in each LEED level based on credits achievement in order to find important of LEED-HC credits to gain LEED-HC. Methods: The individual credits of LEED-HC v.2009 scorecards from USGBC website are analyzed. With achieved scores rate of LEED credits per each Level, all credits are reassembled in 4 different ranges (A~D); easy (A), easy-moderate (B), moderate-hard (C) and hard (D) to achieve scores. Results: 1) Achieved point rate in LEED-HC specific credits are low. These credits need to be reviewed carefully. 2) In 88 projects, 37 projects are gained Silver level which is more than projects in certification level. In order to encourage to gain LEED-HC level, Average Achieved rate to earn Certificate level needs to be risen. 3) Credits in range D rarely affect to gain platinum level. EAc1 (24 points) are critical to gain Silver and Gold level. However, EAc1 points are not effective to achieve Certificate level. Implications: This research will provide a fundamental back data to set up Korean Green building rating system for Healthcare.

• Journal of The Korea Institute of Healthcare Architecture
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• v.25 no.3
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• pp.7-14
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• 2019

Purpose: The purpose of this research is to find out week and strong aspects in LEED categories based on achieved scores earned by LEED-HC(Healthcare) v.2009. Methods: The LEED-HC scorecards of 88 healthcare projects are analyzed. The analysis are focused on relationship between achieved scores, LEED categories and achieved levels. This relationship was presented by graphs and charts. Results: 1) Compare to LEED-NC, in LEED-HC, sub-categories related to public health are added. The scores are added in Energy Atmosphere and Indoor Environmental Quality. 2) Achieve scores in Sustainable Site are high and one in Energy Atmosphere and Indoor Environmental Quality are low at all levels. 3) Scores which was lost in Energy Atmosphere are recovered in Material Resource and Sustainable Site in order to keep its level. 4) Since most of scores in Energy Atmosphere are under EAc1 Optimize energy performance sub-categories, it is important to achieve more score in Optimize Energy Performance Sub-Categories to gain a higher level. Even if LEED-HC has more score in Energy Atmosphere, this is a hard to achieve scores in that categories. It is important to review Energy Atmosphere categories and its points for improvement. Implications: This study will provide basic database in order to establish Korean green building rating system for hospital.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.1
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• pp.53-63
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• 2021

Purpose: Intensive Care Unit (ICU) is an important field of inpatient treatment, in which critically ill patients have been treated intensively with advanced medical technology. The level of treatment in the intensive care unit and the modernization of related facilities are important indicators of the quality of medical care. At present, when regional public hospitals are expanding frequently, reasonable planning of ICU has become an important part of medical institutions that treat ICU. The purpose of this study is to provide basic data on the net area of each unit, which can be used in ICU building planning. Methods: The investigation and analysis of the ICU were conducted in 12 medical institutions, based on theoretical analysis based on relevant guidelines and literature, and analysis of actual space composition and net area through architectural drawings. Results: This research provides basic data, such as the location relationship with other important departments, regional division, spatial composition, the relationship between main activities and regions, the composition of facilities in the region, and the area and proportions of each region. Implications: It is expected that the results of this article will provide effective reference materials for the reasonable spatial organization and effective operation of the intensive care units of ordinary public hospitals of different sizes in the future.

• Journal of The Korea Institute of Healthcare Architecture
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• v.28 no.1
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• pp.53-61
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• 2022

Purpose: As the medical environment changes, the size of medical facilities continues to change. Of course, it is not easy to analyze the correlation between changes in the medical environment and changes in facility size in a rigorous scientific method. However, the results of investigating and analyzing changes in the size that occurred for any cause be able to serve as important references for future medical facility architectural plans. Methods: This study surveyed 68 general hospitals in Seoul for 15 years from 2005 to 2020. The change in the number of beds was investigated with data from the Ministry and Welfare. The gross area change was confirmed by analyzing the of all hospitals. Results & Implications: As a result of the survey, general hospitals in Seoul show a common phenomenon in which all hospitals except one case have expanded their size in the direction of increasing the gross area per bed over the past 15 years. However, in the method, a relatively small hospital with less than 500 beds mainly chose to reduce the number of beds. Large hospitals increased both the number of beds and the gross area, however showed a significant increase in the gross area.

• Journal of Distribution Research
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• v.13 no.2
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• pp.29-57
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• 2008

Empirical model was developed to test the building mechanism of trust dimensions and loyalty with the suppliers' bonding tactics to service firms. And interactive effects between suppliers' bonding tactics and service firms' store age was hypothesized in the trust-loyalty building processes. The model was tested in the context of animal clinics which belong to Korean Animal Hospital Association (KAHA). The data was analysed using structural equation model (SEM). The findings are as follows. First, two different relational bonding tactics play different roles in their effects on building trust dimensions toward suppliers. While supplier's social bonding tactic significantly influences on both the affective and cognitive trust of service firms, suppliers' structural bonding tactic only influences significantly on affective trust of service firms. Second, while suppliers' social bonding tactic influences on building service firms' loyalty significantly, suppliers' structural bonding tactic doesn't influence on building their loyalty. Suppliers' structural bonding tactic influences on building their loyalty indirectly through affective trust. Third, while service firms' affective trust influences on building loyalty significantly, cognitive trust doesn't. Their cognitive trust influences on building loyalty indirectly through affective trust. Fourth, the higher the firms' store age is, the more suppliers use social bonding tactics to build trust and loyalty directly. While the shorter the firms' store age is, the more suppliers partially use both the social and structural bonding tactics to build trust and loyalty. In conclusion, in the context of animal clinics' distribution channels, suppliers' relational bonding tactics with service firms differently influence to build trust sub-dimensions and loyalty. And, suppliers should take note of the interactive role of service firms' store age in the utilization of the different bonding tactics to build service firms' trust and loyalty toward suppliers. At the end of the paper, managerial implications, limitations, and future research directions are suggested.

• Journal of Gastric Cancer
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• v.17 no.2
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• pp.132-144
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• 2017

Purpose: To identify baseline prognostic factors for survival in patients with disease progression, during or after chemotherapy for the treatment of advanced gastric or gastroesophageal junction (GEJ) cancer. Materials and Methods: We pooled data from patients randomized between 2009 and 2012 in 2 phase III, global double-blind studies of ramucirumab for the treatment of advanced gastric or GEJ adenocarcinoma following disease progression on first-line platinum- and/or fluoropyrimidine-containing therapy (REGARD and RAINBOW). Forty-one key baseline clinical and laboratory factors common in both studies were examined. Model building started with covariate screening using univariate Cox models (significance level=0.05). A stepwise multivariable Cox model identified the final prognostic factors (entry+exit significance level=0.01). Cox models were stratified by treatment and geographic region. The process was repeated to identify baseline prognostic quality of life (QoL) parameters. Results: Of 1,020 randomized patients, 953 (93%) patients without any missing covariates were included in the analysis. We identified 12 independent prognostic factors of poor survival: 1) peritoneal metastases; 2) Eastern Cooperative Oncology Group (ECOG) performance score 1; 3) the presence of a primary tumor; 4) time to progression since prior therapy <6 months; 5) poor/unknown tumor differentiation; abnormally low blood levels of 6) albumin, 7) sodium, and/or 8) lymphocytes; and abnormally high blood levels of 9) neutrophils, 10) aspartate aminotransferase (AST), 11) alkaline phosphatase (ALP), and/or 12) lactate dehydrogenase (LDH). Factors were used to devise a 4-tier prognostic index (median overall survival [OS] by risk [months]: high=3.4, moderate=6.4, medium=9.9, and low=14.5; Harrell's C-index=0.66; 95% confidence interval [CI], 0.64-0.68). Addition of QoL to the model identified patient-reported appetite loss as an independent prognostic factor. Conclusions: The identified prognostic factors and the reported prognostic index may help clinical decision-making, patient stratification, and planning of future clinical studies.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.3
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• pp.71-78
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• 2021

Purpose: It is important to plan the ward module at a time when the size of beds, the floor area, and the construction budget are all set prior to the hospital design. In this context this study aims (1) to derive various factors affecting the ward module, and (2) to analyze the appropriate room module according to the type. Methods: Design factors related to hospital modules are derived through precedential studies, and the types of ward elevation are classified by reviewing the drawings of 18 case hospitals. And the detailed dimensions and area of the derived elements are analyzed. Results: The X-axis modules of the ward are switched to long span structural columns of 9.9 m, 12.6 m and 13.2 m, but the ward modules still represent 6.6 m. The Y-axis module of the ward shows a dimension of 9 to 9.9m in the process of changing a multi-person room into a four-person room. Type A of curtain wall with columns located on the wall of the room and type B of curtain wall located in the center of the room are analyzed due to their variations. The square window type, which forms the elevation of the square window by exposing the columns to the elevation, and the outframe type, which protrudes from the structural columns and beams, have elevation designs limited. There are, however, no obstacles to the interior space of the hospital room, so the wall composition and furniture arrangement are expected to be free. The ward area of Curtain Wall Type A, which can secure an effective area of 5.9m*5.0m, are 52.1m². The Curtain Wall Type A, Square window type, and the outframe type are 49.8m². Implications: As part of the hospital standard module plan for economical and reasonable hospital building planning, a type was proposed in this study in conjunction with the external design. It is hoped that it be a base for standard module research linked together to the Central Treatment department, Outpatient department and underground parking lot.

• Journal of The Korea Institute of Healthcare Architecture
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• v.25 no.4
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• pp.27-35
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• 2019

Purpose: As the improvement in quality of medical environment and the spatial consideration for the prevention of infection in the hospital have become increasingly important in the recent years, specific and practical planning for air conditioning room's area has become a major issue accordingly. However, the air conditioning room tends to be discussed focusing on technical factors such as air conditioning systems that are irrelevant to building plans, while discussions of most departments related to the medical functions have actively taken placed. Therefore, this study aims to investigate the factors influencing the planning for the air conditioning room area, and through subsequent analysis of the area of the air conditioning room, to propose a way to improve effective planning for the air conditioning room area. Methods: This study examines the case hospitals that fall into two types: each floor supply system and concentrated supply system, and compares and analyzes the air conditioning room area-related factors and the characteristics of changes in the interior of air conditioning room before and after remodeling through air conditioning floor plan of those case hospitals. Results: The air conditioning room can be classified into the net area of the functional space such as duct passages, and the public area such as aisle space, and of those the public area is an important factor in calculating the area of the air conditioning room. The public area of the air-conditioning room should not be planned considering only the spaces for mobile passage or maintenance activities, but should be planned taking into account internal changes such as expansion and replacement of equipment in the future from the beginning. Implications: When planning a medical facility, it is used as basic data for the planning of the air conditioning room area, which is a significant fixed factor in the initial setting.

• KIEAE Journal
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• v.15 no.2
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• pp.27-35
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• 2015

Purpose: Healthcare is on the whole a personal and critical service that consumer's use, whereas hospitalization is as a rule painful, because nature nurtures and Sun Light Luminosity for healthcare settings is considered healing. The performance and design of climate responsive buildings such as AKU requires a detailed study of attributes of climate both at micro as well as macro level. The therapeutic value of contact with nature through window view, greenery and landscape is calculated there. Method: A two prong strategy is been devised for this article, at micro level three typical morphologies are analysed by creating same environment of neighboring building on sun shading chart, radiation and temperature range. Since the analysis of local climate helps to determine the design strategies for hospital Healing Environment which is suitable for Karachi climate; in order to track the macro climatic behaviour, a considerable analysis of psychometrics chart for AKU Karachi are designed on Climate Consultant (CC) and analysed by Machine Learning. Climate Consultant proposes different design strategies suitable for Karachi. And on the other hand time wise illumination sources for clinical area which are then measured on psychrometric chart- according to singular space: multi patient admission, secondly: acute ambulatory ward, and tertiary: multi windowed space according to the mushrabiyah and sky light pattern. Result: Our findings support the hypothesis that windowed wall is 75-80% more healing wall; an accelerated evidence was found for healing at macro level if the form of the hospital is designed according to the climatologically preferences, whereas at micro level: the light resource becomes the staff attentiveness determinant. In Conclusion evidence was provided that the actual form of luminosity results consequently in satisfaction while light entering from several set of windows and other sources might be valued if design according to the healing environment. The data added on the sun shading chart to calculate rays entraining into space in patient room equal to 124416.21 Watts/ meter $m^2$ is calculated as precise healing rate-and is confirmed by questionnaire from patients belonging from each clinical stage having different illnesses.

• Korea Journal of Hospital Management
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• v.23 no.2
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• pp.28-41
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• 2018

Purpose: This study purposed to analyze the spatial accessibility of mental health institutions in Ganwon-Do using Geographic Information System and to suggest policy implications. Methodology: Network analysis was applied to assess the spatial accessibility of mental health institutions in Gangwon-Do. To perform the network analysis, network data set was built using administrative district map, road network, address of mental health institutions in Gangwon-Do. After building network data set, Two network analysis methods, 1) Service area analysis, 2) Origin Destination cost matrix were applied. Service area analysis calculated accessive areas that were within specified time. And using Origin Destination cost matrix, travel time and road travel distance were calculated between centroids of Eup, Myeon, Dong and the nearest mental health institutions. Result: After the service area analysis, it is estimated that 19.63% of the total areas in Gangwon-Do takes more than 60 minutes to get to clinic institutions. For hospital institutions, 23.08% of the total areas takes more than 60 minutes to get there. And 59.96% of Gangwon-do takes more than 30 minutes to get to general hospitals. The result of Origin-Destination cost matrix showed that most Eup Myeon Dong in Gangwon-Do was connected to the institutions in Wonju-si, Chuncheon-si, Gangneung-si. And it showed that there were large regional variation in time and distance to reach the institutions. Implication: Results showed that there were regional variations of spatial accessibility to the mental health institutions in Gangwon-Do. To solve this problem, Several policy interventions could be applied such as mental health resources allocation plan, telemedicine, providing more closely coordinated services between mental health institutions and community mental health centers to enhance the accessibility.