• Title/Summary/Keyword: Hospital Image

Search Result 2,073, Processing Time 0.036 seconds

Nutting Services Positioning Analysis far Nursing Services Repositioning (간호서비스 리포지셔닝을 위한 간호서비스 품질분석)

  • 이미애
    • Journal of Korean Academy of Nursing
    • /
    • v.29 no.2
    • /
    • pp.383-392
    • /
    • 1999
  • Recently, the hospitals in Korea has positively changed one way or another. Therefore hospital managers must focus on the nurses' role in terms of consumers' perception of overall image of hospitals and the degree of satisfaction of the consumers. To achieve the purposes, the questionnaire was developed and distributed to 280 people who had a direct experience with nursing services subjected hospitals in Seoul at the time of screening. Among them, 229 responses were turned out to be useful and used for final analysis. The measurement instrument for hospital nursing service quality evaluation was modified from the SERVQUAL model originated from Parasuraman, Zeithaml, and Berry (1988). For data analysis, SPSS/PC and PC-MDS program were used. The results were as follows : 1) The perception map showed that the seven subjected hospitals were divided into three groups. It could be interpreted that the hospitals in the same group had a strong competitive relationships. Because the nursing services' scores of hospitals C and E were higher than those of other hospitals, they could be served as a benchmark for the other hospitals. 2) The marketing place of hospital nursing services was divided by four. Since service generally had a strong point in nearby service market segment. Aiming an nearby hospital nursing services market segment by the hospital nursing services department was regarded as a good repositioning strategy. 3) When consumers evaluated the quality of hospital nursing services, they were greatly affected by the hospitals' overall image or other characteristics. Therefore, for improving hospital's nursing services, hospital nursing services department requires a great deal of labor to improve hospitals' overall image or other characteristics.

  • PDF

Development of Electronic Portal Imaging Device and Treatment Position Verification for Fractionated Stereotatic Radiotherapy

  • Lee, Dong-Hoon;Ji, Young-Hoon;Lee, Dong-Han;Kim, Yoon-Jong;Chilgoo Byun;Hong, Seung-Hong;Rhee, Soo-Yong
    • Proceedings of the Korean Society of Medical Physics Conference
    • /
    • 2002.09a
    • /
    • pp.446-449
    • /
    • 2002
  • The video based electronic portal imaging device (EPID), which could display the portal image in near real time, was implemented to verify treatment position error in FSRT(Fractionated Stereotatic Radiation Therapy) instead of a portal film. Also, Developed FSRT system was composed of the stereotactic frame, frame mounting system and collimator cones. The verification of treatment position is very crucial in special therapies like FSRT. In general, the FSRT uses high dpse rate at small field size for treating small intracranial lesions. To evaluate quantitative positioning errors in FSRT, we used the first FSRT image as reference image and obtained the second FSRT image that was moved 2mm intentionally and detected intracranial contours after image processing. The generated 2mm error could be verified by overlapping only contours of two images. Through this study, the radiation treatment efficiency could be improved by performing precise radiation therapy with a developed video based EPID and FSRT.

  • PDF

Categorizations of Nurses' Uniforms based on 3 Major Garment Characteristics (의복 음양, 명암 및 직업 상징성을 중심으로 한 간호사복의 범주화)

  • Lee, Hee-Seung;Kim, Jae-Sook
    • The Research Journal of the Costume Culture
    • /
    • v.14 no.6
    • /
    • pp.1004-1014
    • /
    • 2006
  • The purposes of this study is to investigate the present condition of nurses' uniform design and to categorize the image of nurses' uniform design. To investigate the nurses' uniform design, total 241 data were collected from the pictures of nurses who work for private hospital and semi-general hospital in Deajeon and Seoul city and Chungnam province and the pictures of uniform for nurses in general hospital presented at nurses' uniform company web sites. This data was evaluated by 3 major garment characteristics, yin/yang, casual/professional, and lightness/ darkness-were used as criteria for categorizing the image of nurses' uniform design. Focus group consisting of 10 experts majored in Clothing and Textiles were evaluated by 7 point Likert type scales. Nurses' uniform design at the present time showed equal distribution in terms of yin/yang and casual/professional. However, in terms of lightness/darkness, nurses' uniform design were partial to light image. Therefore, dark image, specially dark and masculine image in nurses' uniform design were very rare. Nurses' uniform design had some differences by type of hospital, department, and geographical area. The most important meaning from the result through this study was that the nurse uniforms were classified into groups according to the present condition of nurses' uniform design.

  • PDF

Development of Correction Technologies for Quantification of Photon Measurement in Bio-Luminescence Image (생체발광영상에서 포톤 검출 정량화를 위한 보정기법의 개발)

  • Tak, Yoon-Oh;Kim, Hyeon-Sik;Park, Hyeong-Ju;Choi, Heung-Kook;Choi, Eun-Seo;Hann, S.-Wook;Lee, Byeong-Il
    • Journal of Biomedical Engineering Research
    • /
    • v.32 no.2
    • /
    • pp.85-92
    • /
    • 2011
  • Bioluminescence imaging (BLI) is the most sensitive animal imaging technique for molecular imaging research. Generally, highly sensitive CCD is used to detect an optical probe introduced in a living mouse. However, in many cases, the light signal emitted from a probe is too small to detect because it is scattered and attenuated by the tissue prior to being detected. The problem is that scattering and attenuation not only inhibit accurate measurement but also make image quality down. Thus we introduced a new method to reduce noise by using property of CCD and method to improve image quality of bioluminescence image by using two steps Gaussian blurring.

Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation

  • Seul Bi Lee;Youngtaek Hong;Yeon Jin Cho;Dawun Jeong;Jina Lee;Soon Ho Yoon;Seunghyun Lee;Young Hun Choi;Jung-Eun Cheon
    • Korean Journal of Radiology
    • /
    • v.24 no.4
    • /
    • pp.294-304
    • /
    • 2023
  • Objective: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction methods. Materials and Methods: We collected contrast-enhanced dual-energy CT of the abdomen that was obtained using various reconstruction methods, including filtered back projection, iterative reconstruction, optimum contrast, and monoenergetic images with 40, 60, and 80 keV. A deep learning based image conversion algorithm was developed to standardize the CT images using 142 CT examinations (128 for training and 14 for tuning). A separate set of 43 CT examinations from 42 patients (mean age, 10.1 years) was used as the test data. A commercial software program (MEDIP PRO v2.0.0.0, MEDICALIP Co. Ltd.) based on 2D U-NET was used to create liver segmentation masks with liver volume. The original 80 keV images were used as the ground truth. We used the paired t-test to compare the segmentation performance in the Dice similarity coefficient (DSC) and difference ratio of the liver volume relative to the ground truth volume before and after image standardization. The concordance correlation coefficient (CCC) was used to assess the agreement between the segmented liver volume and ground-truth volume. Results: The original CT images showed variable and poor segmentation performances. The standardized images achieved significantly higher DSCs for liver segmentation than the original images (DSC [original, 5.40%-91.27%] vs. [standardized, 93.16%-96.74%], all P < 0.001). The difference ratio of liver volume also decreased significantly after image conversion (original, 9.84%-91.37% vs. standardized, 1.99%-4.41%). In all protocols, CCCs improved after image conversion (original, -0.006-0.964 vs. standardized, 0.990-0.998). Conclusion: Deep learning-based CT image standardization can improve the performance of automated hepatic segmentation using CT images reconstructed using various methods. Deep learning-based CT image conversion may have the potential to improve the generalizability of the segmentation network.

Correlation Analysis between HIVD of L-spine MRI and Digital Infrared Thermal Image (DITI) on the Patients of LBP Who Visit Korean Medicine Hospital (한방병원에 요통, 하지방사통으로 내원한 환자 236명에서 MRI상 추간판 탈출증과 적외선 체열 검사(DITI)와의 연관성 분석)

  • Kim, Gil-Hwan;Kwon, Ok-Jun;Joo, Young-Kuk;Song, Seung-Bae;Kim, Doo-Ri;Choi, Young-Jun;Shin, Soo-Ji
    • Journal of Korean Medicine Rehabilitation
    • /
    • v.27 no.3
    • /
    • pp.107-115
    • /
    • 2017
  • Objectives This study is planned to classify correlation between HIVD of L-spine MRI and Digital Infrared Thermal Image (DITI). Methods We measured the temperature of both leg whose 120 men and 116 women patients with lumbar pain in Bucheon Jaseng Korean Medicine Hospital. And We use Magnetic Resonance Imaging (MRI) for classifying the patients who has lumbar intervertebral disc or not. Results 1) There was no statistical relation between difference of both leg's temperature and gender (p>0.05). 2) There was meaningful statistical relation between difference of both leg's temperature and age (p<0.05). 3) There was meaningful statistical relation between direction of HIVD of L-spine and direction of temperature reduction. 4) There was meaningful statistical relation between the severity of HIVD of L5/S1 and degree of temperature reduction. But there was no statistical relation between the severity of HIVD of L3/4, L4/5 and degree of temperature reduction. Conclusions We can use Digital Infrared thermal image (DITI) on low back pain patients for diagnosis. But we should not use DITI alone. DITI has limit in diagnosis.

Dosimetric Verification for Primary Focal Hypermetabolism of Nasopharyngeal Carcinoma Patients Treated with Dynamic Intensity-modulated Radiation Therapy

  • Xin, Yong;Wang, Jia-Yang;Li, Liang;Tang, Tian-You;Liu, Gui-Hong;Wang, Jian-She;Xu, Yu-Mei;Chen, Yong;Zhang, Long-Zhen
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.3
    • /
    • pp.985-989
    • /
    • 2012
  • Objective: To make sure the feasibility with $^{18F}FDG$ PET/CT to guided dynamic intensity-modulated radiation therapy (IMRT) for nasopharyngeal carcinoma patients, by dosimetric verification before treatment. Methods: Chose 11 patients in III~IVA nasopharyngeal carcinoma treated with functional image-guided IMRT and absolute and relative dosimetric verification by Varian 23EX LA, ionization chamber, 2DICA of I'mRT Matrixx and IBA detachable phantom. Drawing outline and making treatment plan were by different imaging techniques (CT and $^{18F}FDG$ PET/CT). The dose distributions of the various regional were realized by SMART. Results: The absolute mean errors of interest area were $2.39%{\pm}0.66$ using 0.6cc ice chamber. Results using DTA method, the average relative dose measurements within our protocol (3%, 3 mm) were 87.64% at 300 MU/min in all filed. Conclusions: Dosimetric verification before IMRT is obligatory and necessary. Ionization chamber and 2DICA of I'mRT Matrixx was the effective dosimetric verification tool for primary focal hyper metabolism in functional image-guided dynamic IMRT for nasopharyngeal carcinoma. Our preliminary evidence indicates that functional image-guided dynamic IMRT is feasible.

Images of Hospital Emergency Medical Technicians Perceived by Emergency Medical Service Providers (Focusing on tertiary medical institutions in Daejeon and Chungcheongnam do) (응급의료종사자가 인식하는 병원 내 응급구조사의 이미지 (대전, 충남 3차의료기관 중심으로))

  • Han, Song-Yi;Bae, Ki-Sook;Kim, Jin-Uk
    • The Journal of the Korea Contents Association
    • /
    • v.12 no.4
    • /
    • pp.373-379
    • /
    • 2012
  • This study surveyed the image of hospital emergency medical technicians with 122 emergency medical service providers (doctors and nurses) working at tertiary medical institutions in Daejeon and Chungcheongnam.do in order to provide basic materials for enhancing the status and professional image of hospital emergency medical technicians. According to the results of this study, the overall image was $3.27{\pm}0.34$, and by its sub.area, professional image was highest and role image was lowest. By item, 'Maintain a friendly relations with doctors' was highest, and 'Arrogant and negligent in job performance' was lowest. In order to enhance their image, hospital emergency medical technicians need to assume a sincere attitude toward patients and colleagues consistently, to strengthen their professionalism, and to carry out their duties and roles faithfully. What is more, the association should take proper measures and to establish the sound image of emergency medical technician as a professional through active campaigns and monitoring using mass media.

The Application of Dynamic Acquisition with Motion Correction for Static Image (동적 영상 획득 방식을 이용한 정적 영상의 움직임 보정)

  • Yoon, Seok-Hwan;Seung, Jong-Min;Kim, Kye-Hwan;Kim, Jae-Il;Lee, Hyung-Jin;Kim, Jin-Eui;Kim, Hyun-Joo
    • The Korean Journal of Nuclear Medicine Technology
    • /
    • v.14 no.1
    • /
    • pp.46-53
    • /
    • 2010
  • Purpose: The static image of nuclear medicine study should be acquired without a motion, however, it is difficult to acquire static image without movement for the serious patients, advanced aged patients. These movements cause decreases in reliability for quantitative and qualitative analysis, therefore re-examination was inevitable in the some cases. Consequently, in order to improve the problem of motion artifacts, the authors substituted the dynamic acquisition technique for the static acquisition, using motion correction. Materials and Methods: A capillary tube and IEC body phantom were used. First, the static image was acquired for 60 seconds while the dynamic images were acquired with a protocol, 2 sec/frame${\times}$30 frames, under the same parameter and the frames were summed up into one image afterwards. Also, minimal motion and excessive motion were applied during the another dynamic acquisition and the coordinate correction was applied towards X and Y axis on the frames where the motion artifact occurred. But the severe blurred images were deleted. Finally, the resolution and counts were compared between the static image and the summed dynamic images which before and after applying motion correction, and the signal of frequency was analysed after frequency spatial domain was transformed into 2D FFT. Supplementary examination, the blind test was performed by the nuclear medicine department staff. Results: First, the resolution in the static image and summed dynamic image without motion were 8.32 mm, 8.37 mm on X-axis and 8.30 mm, 8.42 mm on Y-axis, respectively. The counts were 484 kcounts, 485 kcounts each, so there was nearly no difference. Secondly, the resolution in the image with minimal motion applying motion correction was 8.66 mm on X-axis, 8.85 mm on Y-axis and had 469 kcounts while the image without motion correction was 21.81 mm, 24.02 mm and 469 kcounts in order. So, this shows the image with minimal motion applying motion correction has similar resolution with the static image. Lastly, the resolution in the images with excessive motion applying motion correction were 9.09 mm on X-axis, 8.83 mm on Y-axis and had 469 kcounts while the image without motion correction was 47.35 mm, 40.46 mm and 255 kcounts in order. Although there was difference in counts because of deletion of blurred frames, we could get similar resolution. And when the image was transformed into frequency, the high frequency was decreased by the movement. However, the frequency was improved again after motion correction. In the blind test, there was no difference between the image applying motion correction and the static image without motion. Conclusion: There was no significant difference between the static image and the summed dynamic image. This technique can be applied to patients who may have difficulty remaining still during the imaging process, so that the quality of image can be improved as well as the reliance for analysis of quantity. Moreover, the re-examination rate will be considerably decreased. However, there is a limit of motion correction, more time will be required to successfully image the patients applying motion correction. Also, the decrease of total counts due to deletion of the severe blurred images should be calculated and the proper number of frames should be acquired.

  • PDF

Impact of Obesity on Health-Related Quality of Life among Children (비만이 소아의 삶의 질에 미치는 영향)

  • Kwon, Yon Jung;Jeong, Jo Eun;Huh, Hyu Jung;Cho, Hyun;Kim, Dai Jin
    • Korean Journal of Biological Psychiatry
    • /
    • v.22 no.3
    • /
    • pp.128-134
    • /
    • 2015
  • Objectives To examine the relationship between health-related quality of life (HRQoL) and body mass index (BMI) of obese children. Methods This cross-sectional study included 387 children. HRQoL was measured with the PedsQLTM 4.0 Generic Core Scale. BMI was classified according to the World Health Organization Asia-Pacific obesity guidelines. Psychosocial factors (body image, self-esteem, and depression/anxiety) were also measured. Data were analyzed using one-way analysis of variance, Pearson's correlation and Path analysis. Results Obese participants reported lower score for physical evaluation, self-esteem, appearance evaluation component of body image, total HRQoL score, and physical/emotional/social function components of HRQoL ; they reported higher score for depression/anxiety. In addition, results indicated that as BMI increased, appearance evaluation, total HRQoL score, and social function component of HRQoL dropped. Path analysis revealed that BMI did not directly affect HRQoL ; however, BMI directly affects body image and self-esteem, indirectly mediates depression/anxiety, and thereby impacts on an individual's HRQoL. Conclusions Body image and self-esteem, rather than BMI itself, have more influence on HRQoL. This reinforces the importance of therapeutic intervention to enhance body image and self-esteem among obese children.