• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.27-35
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• 2018

This study aimed to analyze the association among dental care consumers' responses to waiting time, hospital image, and patient satisfaction and provide basic data that could help qualitative waiting conditions management related to health care service. A survey was conducted from May 18 to June 20, 2016 in adults who had spent waiting time at dental hospitals or clinics, and the following conclusion was drawn: Hospital image was associated with the changes in reliance on dental care centers in case of long wait, the changes in reuse intentions, and the reservation system, and patient satisfaction was associated with gender, explanation of expected waiting time, the changes in reliance on dental care centers in case of long wait, the changes in reuse intentions, and the reservation system. The positive responses to waiting time was positively correlated with hospital image and patient satisfaction; the negative reaction to waiting time was negatively correlated with hospital image and patient satisfaction; and hospital image was positively correlated with patient satisfaction.

• Korean Journal of Radiology
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• v.23 no.2
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• pp.256-263
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• 2022

Objective: This study aimed to evaluate the image quality and dose reduction of low-dose three-dimensional (3D) rotational angiography (RA) for evaluating intracranial aneurysms. Materials and Methods: We retrospectively evaluated the clinical data and 3D RA datasets obtained from 146 prospectively registered patients (male:female, 46:100; median age, 58 years; range, 19-81 years). The subjective image quality of 79 examinations obtained from a conventional method and 67 examinations obtained from a low-dose (5-seconds and 0.10-μGy/frame) method was assessed by two neurointerventionists using a 3-point scale for four evaluation criteria. The total image quality score was then obtained as the average of the four scores. The image quality scores were compared between the two methods using a noninferiority statistical testing, with a margin of -0.2 (i.e., score of low-dose group - score of conventional group). For the evaluation of dose reduction, dose-area product (DAP) and air kerma (AK) were analyzed and compared between the two groups. Results: The mean total image quality score ± standard deviation of the 3D RA was 2.97 ± 0.17 by reader 1 and 2.95 ± 0.20 by reader 2 for conventional group and 2.92 ± 0.30 and 2.95 ± 0.22, respectively, for low-dose group. The image quality of the 3D RA in the low-dose group was not inferior to that of the conventional group according to the total image quality score as well as individual scores for the four criteria in both readers. The mean DAP and AK per rotation were 5.87 Gy-cm² and 0.56 Gy, respectively, in the conventional group, and 1.32 Gy-cm² (p < 0.001) and 0.17 Gy (p < 0.001), respectively, in the low-dose group. Conclusion: Low-dose 3D RA was not inferior in image quality and reduced the radiation dose by 70%-77% compared to the conventional 3D RA in evaluating intracranial aneurysms.

• The Korean Journal of Nuclear Medicine Technology
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• v.28 no.1
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• pp.13-17
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• 2024

Bone Mineral Densitometry (BMD) values is determined numerically with T or Z-score while the image is not considered in the interpretation. Abnormal finding was observed in the left femoral bone density image of a 64-year-old female patient who underwent a left kidney transplantation. This was due to the ethiodized oil used for embolization in the treatment of lymphatic leakage. Radiologic technologists should not only monitor changes of BMD values, but keep in mind to assess the changes in the image to provide accurate information to the patient.

• The Korean Nurse
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• v.32 no.2
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• pp.51-62
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• 1993

The hospital is not the place for functional isolationalism, that is, for each department to do their own activities independently. Rather it is an organization in which each part is joined together and concentrating on the same objectives. The hospital must maintain a one-system-function, so that all the resources of the hospital may be used efficiently. Although we do not yet completely understand how the nursing image as perceived by the medical team and the other members of the interdisciplinary team affects nursing practice. It is important to identify how the client recognizes the nursing image as this will influence the growth of the nursing profession directly and indirectly. So we must reevaluate the nursing image as presented to the client and find the ways to present them with a better image of nursing. The study procedures were as follow; First, the image of nurses was analyzed. The subjects for this study were 270 nurses, 172 doctors, 237 hospital employees, and 240 patients and their families from 5 local branches of the Yonsei Medical Center. The four negative responses shown in this study are as follows; 1) Nurses don't listen to patients. 2) Nurses are self-centered. 3) Nurses and careless. 4) Nurses are mechanical. Second, the concrete causes of the four negative responses were analyzed. Third, the contribution of the nurses for clinical practice, research and education was analyzed. Data were collected by questionnaires all seps of the research. Data were analyzed by use of SPSS/PC. In conclusion, the image of nurses differed according to which group, the respondents belonged. Generally, the public have a positive image of nurses, but hospital employees have a negative images of nurses. Further the nurses gave themselves a low grade. They showed negative as to the value of their job, professionality and their contribution to clinical practice when it was compared to that of the doctors.

• Journal of Radiation Protection and Research
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• v.44 no.4
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• pp.149-155
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• 2019

Background: Magnetic resonance (MR) image guided radiation therapy system, enables real time MR guided radiotherapy (RT) without additional radiation exposure to patients during treatment. However, MR image lacks electron density information required for dose calculation. Image fusion algorithm with deformable registration between MR and computed tomography (CT) was developed to solve this issue. However, delivered dose may be different due to volumetric changes during image registration process. In this respect, synthetic CT generated from the MR image would provide more accurate information required for the real time RT. Materials and Methods: We analyzed 1,209 MR images from 16 patients who underwent MR guided RT. Structures were divided into five tissue types, air, lung, fat, soft tissue and bone, according to the Hounsfield unit of deformed CT. Using the deep learning model (U-NET model), synthetic CT images were generated from the MR images acquired during RT. This synthetic CT images were compared to deformed CT generated using the deformable registration. Pixel-to-pixel match was conducted to compare the synthetic and deformed CT images. Results and Discussion: In two test image sets, average pixel match rate per section was more than 70% (67.9 to 80.3% and 60.1 to 79%; synthetic CT pixel/deformed planning CT pixel) and the average pixel match rate in the entire patient image set was 69.8%. Conclusion: The synthetic CT generated from the MR images were comparable to deformed CT, suggesting possible use for real time RT. Deep learning model may further improve match rate of synthetic CT with larger MR imaging data.

• Journal of Korean Academy of Nursing Administration
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• v.4 no.2
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• pp.289-306
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• 1998

For continuous development of professional nursing to the powerful professional organization, it is essential that the public understand and help nursing. This research was done to identify the image of nurses and factors that determine that image. The study subjects were 97 admitted patients 95 family members of patients who were admitted to a university hospital and a general hospital in Seoul and 164 parents of stutents in elemantary, middle, high schools in Seoul. The total numbers of subjects was 356. The researcher collected the data from April 13.1998 to April 20.1998. The Research tool was developed by the researcher following a literature review. Cronbach ${\alpha}$ for the tool of the image of nurses was 0.9397 and Cronbach a for the tool for determinants of the image was 0.8764. The obtained data were processed by SPSS (Statistical Package for Social Science) and the results are as follows : 1. The mean score for the image of nurses was 90.40${\pm}$15.15(range 47${\sim}$138) indicating a positive response. 2. Analysis of the image of nurses : Four factors were identified traditional. social. professional and personal image. The mean score for traditional image was 3.27. the second highest score. and for social image. 2.95. the lowest score. The mean score for professional image score was 3.48. the highest score. and for personal image, 3.20. a lower score. 3. The image of nurses according to respondents There were significant differences for traditional. social, professional. personal factors between subject groups. A more positive responses was found in the patients and patient' families as a compared to the students' parents. 4. Image of nurses related general characteristics : There was a significant difference for age and school graduation. More negative responses were found in the 31${\sim}$40 years old age group and in the higher educated group. 5. Image of nurses related to experience of nurses The respondents showed a more negative image when their experience related to nurses through the mass media, as a compared to the experiences of having talked with patient who had been admitted to hospital. For the social image factor. a more negative attitude was revealed for those who had the experience of patient who had been admitted to hospital as compared to other factors. 6. Determinants of image of nurses : There were three factors that were named subjective. administrative and media . The mean for the subjective factor score was 3.85. the highest score of the three factors. The mean for the administrative factor score was 3.53. And the mean for the media factor score was 3.27. 7. Determinants of image of nurses according to respondents group : There were no significant differences(F= 1.95, P= .14) Consequently the result showed a low social image of nurses. So. nurses must work to improve the social image of nurses through scientific approaches and by monitoring the mass media for correct descriptions of nurses. Also. it is necessary that excellent education for service and politeness be continually provided in order to positively effect the personal image field. It is also importent to raise the expectations of the recipients of nursing care by having a strategy for the determinants of the image of nurses that allows nurses to personnally develop professionally.

• Korea Journal of Hospital Management
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• v.16 no.4
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• pp.111-130
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• 2011

The purpose of this study is to find moderating effects of re-use intention by trust factors between patients satisfaction and hospital images. Survey a general hospital in Seoul was performed, and a total of 202 questionnaires has been analyzed. Result of multiple regression analysis are verified moderating effects by trust factors with hospital image and re-use intention(F=8.223**). And patient satisfaction and re-use intention are verified moderating effects by trust factors(F=4.255*). In addition, classify them into high trust group and low trust group by median split method, even if there are felt the equal level of satisfaction or image that high trust group will be re-visit the hospital better than low trust group. As a result, trust factors must consider different level from satisfaction or image, it is necessary that hospitals will be prepare to improve the trust.

• The Korean Journal of Health Service Management
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• v.7 no.4
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• pp.179-190
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• 2013

The main purpose of this study was to investigate the effect of the factors which cause the patients to choose hospital from the view of Christian missionary hospital. The subjects were 194 inpatients and 202 outpatients of the K Medical Center in Busan. The research had been conducted from 20 June to 31 July in 2013. The major results demonstrated that the medical and social services image factors strongly affected to the satisfaction and selectivity of patients. Social role image of religious medical institution should be considered important and it seems beneficent in CRM(Customer Relationship Management) based on this results.

• Imaging Science in Dentistry
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• v.50 no.3
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• pp.227-236
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• 2020

Purpose: Image artifacts caused by patient motion cause problems in cone-beam computed tomography (CBCT) because they lead to distortion of the 3-dimensional reconstruction. This prospective study was performed to quantify patient movement during CBCT acquisition and its influence on image quality. Materials and Methods: In total, 412 patients receiving CBCT imaging were equipped with a wireless head sensor system that detected inertial, gyroscopic, and magnetometric movements with 6 dimensions of freedom. The type and amplitude of movements during CBCT acquisition were evaluated and image quality was rated in 7 different anatomical regions of interest. For continuous variables, significance was calculated using the Student t-test. A linear regression model was applied to identify associations of the type and extent of motion with image quality scores. Kappa statistics were used to assess intra- and inter-rater agreement. Chi-square testing was used to analyze the impact of age and sex on head movement. Results: All CBCT images were acquired in a 10-month period. In 24% of the investigations, movement was recorded (acceleration: >0.10 [m/s²]; angular velocity: >0.018 [°/s]). In all examined regions of interest, head motion during CBCT acquisition resulted in significant impairment of image quality (P<0.001). Movement in the horizontal and vertical axes was most relevant for image quality (R²>0.7). Conclusion: Relevant head motions during CBCT imaging were frequently detected, leading to image quality loss and potentially impairing diagnosis and therapy planning. The presented data illustrate the need for digital correction algorithms and hardware to minimize motion artefacts in CBCT imaging.

• Journal of The Korean Radiological Technologist Association
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• v.25 no.1
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• pp.38.1-38.1
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• 1999

This study is to develop a curvi linear filter for density compensation when making whole spine X-ray image. It was difficult for radiological technologists to make a desirable image for Whole-spine. X-ray film due to the difference between cervical verte