• Title/Summary/Keyword: Patient Users

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A research on User-focused Space analysis of representing large Corporate hospitals (대형 민간병원의 사례분석에 의한 사용자별 면적배분 현황에 대한 연구)

  • Lee, Jung-Man;Choi, A-Hyeon
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.1 no.2
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    • pp.39-51
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    • 1996
  • Design scheme drawings of the two major corporate hospitals - Asan Medical Center and Samsung Medical Center - are analysed in the aspect of floor area distributions and their proportions for various users and user-functions. Primary users of hospitals are categorized into three ; patients, employees and others. Then, patient spaces are subdivided into patient private, patient/medical, patient/support staff, patient/nursing, patient/guardian, patient common ; employee spaces into doctors, trainees, doctors common, nurses, support staffs, non-medical staffs, employee common ; others spaces into subcontractors, general publics, non-living, and internal circulation. The purpose of this research is to develop a user-focused insight into hospital spaces and a new method of hospital programming and design.

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Users' Evaluation of Interior Design Features of Patients Rooms in Geriatric Hospital - From the perspectives of Nurses and Care-Givers - (노인요양병원 입원실의 실내디자인 특성에 대한 사용자 평가 - 간호사와 간병인 및 보호자를 대상으로 -)

  • Oh, Chan-Ohk
    • Korean Institute of Interior Design Journal
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    • v.23 no.2
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    • pp.182-192
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    • 2014
  • Demands for geriatric hospital have increased in an era of rapidly aging population. Most of aged patients tend to stay in institutions for long terms. This means that the patient rooms of geriatric hospital should be given different considerations from those of normal hospital in designing interior features. They should be a homelike places for the aged patients and designed to take care of specific needs of the aged. However, most of geriatric hospitals are designed with little attention to such point. They appear almost same to normal ones. This study attempts to examine how users evaluate patients' rooms. The users are nurses, care-givers and family members of aged patients in six geriatric hospitals in Busan. They rated 12 features of patient rooms from 0 point to 100 points and described reasons why they rated in that way. Also, the walk-through was done for these six hospitals. 12 features are sizes of patient rooms, sizes and fixtures of bathrooms, sizes and locations of windows, bed layout, numbers and types of chairs, sizes and types of closet, lighting, color scheme, finishes of floor and wall, and interior design tone. Followings are findings : The users evaluated patients' rooms relatively positive. However, extra chairs for visitors, closet in patients rooms and storage in bathroom, and sizes of patients rooms and bathrooms were evaluated relatively negative.

A Study on the Evacuation Procedure Analysis Model of General Hospital Considering Patients Types (환자의 유형을 고려한 종합 병원의 피난 절차 분석 모델에 관한 연구)

  • Lee, Seonyeong;Kweon, Jihoon
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.28 no.2
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    • pp.7-16
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    • 2022
  • Purpose: This study aimed to present an analysis model evaluating evacuation performance considering patient types and procedural evacuation in the medical facility. The user group of the medical facility, including users challenged in evacuation behavior, entails the risk of many casualties. Therefore, it is necessary to plan an evacuation procedure that considers the evacuation characteristics of users. Methods: Through the review of precedent studies, the evacuation procedure of the medical facility, the classification of patient types, and the evacuation procedure was set as conditions and variables for the analysis. The result caused by a variety of conditions and variables were explored. Results: 1) The total evacuation completion time and congestion time were shortened at the procedural evacuation. Moreover, it derived many users from evacuating at the initial phase. 2) The proposed model can provide a basis for proposing a space planning direction that considers the possibility of not carrying out the evacuation plan. 3) It supports safe evacuation by identifying variables that reduce overcrowding by comparing the congestion time of overcrowded spaces. 4) The analysis model can identify the overcrowded space through the evacuation route and suggest the basis for architectural improvements that reduce overcrowding. Implications: The study results can be used to analyze the performance of evacuation procedures and support the establishment of evacuation procedures and building plans for safe evacuation for medical facilities.

Design of Patient Affairs System for Efficient Hospital Business (병원 업무 효율화를 위한 원무 시스템 설계)

  • Cho Kwang-Moon;Han Kun-Hee
    • Proceedings of the Korea Contents Association Conference
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    • 2005.11a
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    • pp.616-621
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    • 2005
  • The quality of content is the most important for the web site which are connected many people. This content could be easily manipulated by users. Many web sites provide the simple Information of hospitals. However, users want the environment from reservation to counselling. In this paper a patient affairs system is designed which provides this content. When a web site is constructed according to this content, the both of users and hospitals are satisfied.

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The Precision Test Based on States of Bone Mineral Density (골밀도 상태에 따른 검사자의 재현성 평가)

  • Yoo, Jae-Sook;Kim, Eun-Hye;Kim, Ho-Seong;Shin, Sang-Ki;Cho, Si-Man
    • The Korean Journal of Nuclear Medicine Technology
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    • v.13 no.1
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    • pp.67-72
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    • 2009
  • Purpose: ISCD (International Society for Clinical Densitometry) requests that users perform mandatory Precision test to raise their quality even though there is no recommendation about patient selection for the test. Thus, we investigated the effect on precision test by measuring reproducibility of 3 bone density groups (normal, osteopenia, osteoporosis). Materials and Methods: 4 users performed precision test with 420 patients (age: $57.8{\pm}9.02$) for BMD in Asan Medical Center (JAN-2008 ~ JUN-2008). In first group (A), 4 users selected 30 patient respectively regardless of bone density condition and measured 2 part (L-spine, femur) in twice. In second group (B), 4 users measured bone density of 10 patients respectively in the same manner of first group (A) users but dividing patient into 3 stages (normal, osteopenia, osteoporosis). In third group (C), 2 users measured 30 patients respectively in the same manner of first group (A) users considering bone density condition. We used GE Lunar Prodigy Advance (Encore. V11.4) and analyzed the result by comparing %CV to LSC using precision tool from ISCD. Check back was done using SPSS. Results: In group A, the %CV calculated by 4 users (a, b, c, d) were 1.16, 1.01, 1.19, 0.65 g/$cm^2$ in L-spine and 0.69, 0.58, 0.97, 0.47 g/$cm^2$ in femur. In group B, the %CV calculated by 4 users (a, b, c, d) were 1.01, 1.19, 0.83, 1.37 g/$cm^2$ in L-spine and 1.03, 0.54, 0.69, 0.58 g/$cm^2$ in femur. When comparing results (group A, B), we found no considerable differences. In group C, the user_1's %CV of normal, osteopenia and osteoporosis were 1.26, 0.94, 0.94 g/$cm^2$ in L-spine and 0.94, 0.79, 1.01 g/$cm^2$ in femur. And the user_2's %CV were 0.97, 0.83, 0.72 g/$cm^2$ L-spine and 0.65, 0.65, 1.05 g/$cm^2$ in femur. When analyzing the result, we figured out that the difference of reproducibility was almost not found but the differences of two users' several result values have effect on total reproducibility. Conclusions: Precision test is a important factor of bone density follow up. When Machine and user's reproducibility is getting better, it’s useful in clinics because of low range of deviation. Users have to check machine's reproducibility before the test and keep the same mind doing BMD test for patient. In precision test, the difference of measured value is usually found for ROI change caused by patient position. In case of osteoporosis patient, there is difficult to make initial ROI accurately more than normal and osteopenia patient due to lack of bone recognition even though ROI is made automatically by computer software. However, initial ROI is very important and users have to make coherent ROI because we use ROI Copy function in a follow up. In this study, we performed precision test considering bone density condition and found LSC value was stayed within 3%. There was no considerable difference. Thus, patient selection could be done regardless of bone density condition.

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A Case Study on User Evaluation of Patients' Room for User-Oriented Design - Focused on H General Hospital in Busan - (사용자 중심 디자인을 위한 다인병실에 대한 사용자 평가연구 - 부산 H 종합병원 사례를 중심으로 -)

  • Oh, Chan-Ohk;Paik, Jin-Kyung
    • Korean Institute of Interior Design Journal
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    • v.21 no.6
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    • pp.12-22
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    • 2012
  • This study was carried out to focus on the user-oriented design of patients' room in general hospital. The purpose of the study was to examine the users' evaluation on their patients' rooms in H General Hospital and to suggest how to improve the patients' room design. The users were inpatients, care givers, and nurses, 300 subjects of each 100 users in H hospital. They evaluated 26 items related to the patients' room design using by 5-points Likert scale. Also, they answered three elements which bothered them, what needed improvement, and what they feel ill at ease. The results were as followings; 1) The users evaluated positively the location and size of window. This implies that the current one is relatively ideal and deserve to be maintained. 2) The users responded negatively to the thermostat system and the space for care-givers. 3) The lack of space for care-givers and visitors, common use of refrigerator and bathroom, and the lack of space bothered the users. 4) Most users mentioned the lack of space in patients' room. This implies that it needs to consider the change of the person number per patient's room, from 5 persons to 4 ones. 5) The lacks of sleeping space, dining space, and bathroom space bothered the care-givers. This implies that the space for care-givers such as sleeping, dinging, and bathing should be considered in patients' room.

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Comparison of Patient's Subjective Rating Scales for Voice Evaluation in Professional Voice Users with Vocal Fold Lesions (전문직 음성사용자의 주관적 음성평가도구간의 비교)

  • Kim, Jae-Ock;Choi, Sung-Hee;Lim, Sung-Eun;Choi, Jae-Nam;Choi, Hong-Shik
    • Proceedings of the KSPS conference
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    • 2007.05a
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    • pp.292-294
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    • 2007
  • This study was designed to compare the translated patient's subjective rating scales for voice evaluation (Voice Handicap Index; VHI, Voice-Related Quality of Life; V-RQOL, Voice Rating Score; VRS) into Korean, taken from 24 professional voice users diagnosed with organic voice disorders. First, the correlation amongh those scales were observed. Second, the correlation between the patient's subjective rating scales and acoustic measures (Jitter%, Shimmer%, NHR) were examined. Third, those scales were compared by clinician's objective scale (G in GRBAS scale). Results indicated that significant correlations among the patients' subjective rating scales and significant correlations of clinician's rating scale with jitter% and Shimmer%, but not with NHR were observed. In addition, there were significant correlations of G with VHI and VHI-P (one of subscale of VHI). However, none of acoustic measures were correlated with the patient's subjective rating scales.

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K-Means Clustering with Content Based Doctor Recommendation for Cancer

  • kumar, Rethina;Ganapathy, Gopinath;Kang, Jeong-Jin
    • International Journal of Advanced Culture Technology
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    • v.8 no.4
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    • pp.167-176
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    • 2020
  • Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

Smart Health Monitoring System (SHMS) An Enabling Technology for patient Care

  • Irfan Ali Kandhro;Asif Ali Wagan;Muhammad Abdul Aleem;Rasheeda Ali Hassan;Ali Abbas
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.43-52
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    • 2024
  • Health Monitoring System is a sophisticating technology and another way to the normal/regular management of the health of the patient. This Health Monitoring Mobile Application is a contribution from our side to the public and to the overall health industry in Pakistan. With the help of Health mobile application, the users will be able to store their medical records, prescriptions and retrieve them later. The users can store and keep track of their vital readings (heart rate, blood pressure, fasting glucose, random glucose). The mobile application also shows hospitals that are nearby in case the user wants to avail of any medical help. An important feature of the application is the symptoms-based disease prediction, the user selects the symptoms which he has and then the application will name certain diseases that match those symptoms based on relevant algorithms. The major advances and issues have been discussed, and as well as potential tasks to health monitoring will be identified and evaluated.

Transport Activities and Improvement strategies of 119 Rescue (119 구급대의 후송활동 및 개선방안)

  • Jeon, So-Youn;Kim, Hak-Soo
    • The Korean Journal of Emergency Medical Services
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    • v.3 no.1
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    • pp.102-115
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    • 1999
  • This study was performed to investigate transport activities and strategize improvement of 119 rescue. We reviewed emergency care records of users who were transported by 119 rescue of six agencies in Chungnam from July 13, 1998 to August 8, 1998. The results were as follows ; 1. In sex distribution of users, the male was 65.0%. And the highest age group among users was above sixties(21.6%), then thirties in second order(19.3%). Accident was 50.8% as occupied first cause of transport, and then acute disease 22.8%. The highest requester for 119 rescue call was patient's families(47.1%) and average number of 119 rescue users per day was 20.9. 2. The nonurgent state of users was 58.9%. The frequency of users was 26.0 persons at sunday in most frequently, weekend and holiday was more common than ordinary day, and most frequent weather state was cloudy(23.8 persons). 3. Total running distance of 119 ambulance was 7.0km in average. Call time by users was 20-24 hours most commonly(21.9%). In then running time by each transport stage, 8 minutes were taken from 119 call receipt to scene arrival, 13 minutes from scene arrival to hospital. The kinds of pre-hospital care by 119 rescuer was vital sign check(81.2%), wound dressing or fracture fixation(41.2%), airway maintenance and O2 supply(30.4%).

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