• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.635-644
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• 2018

This descriptive study examined the practical nursing guidelines for the prevention of pressure injuries (PI) in operating rooms and their application. Method: Four general hospitals and three specialized hospitals located in Seoul, Incheon, and Gyeonggido province were selected through an online randomization program and nurses at these hospitals who participated in operations and had at least six months work experience were surveyed. Data were collected from January to April 2018 through a survey distributed to 150 nurses, 129 of whom returned the survey (86% recovery rate). The results showed that 43 nurses provided PI prevention care for patients in a lateral position (33.3%), 37 for patients in a supine position (28.7%), and 36 for patients in a prone position (27.9%). Gel was most widely used as the supporting surface material (102 nurses; 79.1%), followed by sponge (62 nurses; 48.1%), and cotton (47 nurses; 36.4%). Skin was often inspected twice, before and after the use of a supporting surface (90nurses; 69.8%), but no designated tool was used to determine the risk of PI developing (76 nurses; 58.9%). Additionally, the patient's position during surgery (83 nurses; 64.3%) and the length of the operation (i.e., more than two hours, in this case) (49 nurses; 38.0%) were determining factors for whether to use a supporting surface. The operating room nurses used the gel, sponge, and cotton as the supporting surfaces for the prevention of PI and confirmed that the cutoff operation time for the use of a supporting surface was more than 2 hours.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.365-372
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• 2021

The purpose of this study was to examine the statements characteristics of the pressure ulcer nursing record by natural langage processing and assess the prediction accuracy for each pressure ulcer stage. Nursing records related to pressure ulcer were analyzed using descriptive statistics, and word cloud generators (http://wordcloud.kr) were used to examine the characteristics of words in the pressure ulcer prevention nursing records. The accuracy ratio for the pressure ulcer stage was calculated using deep learning. As a result of the study, the second stage and the deep tissue injury suspected were 23.1% and 23.0%, respectively, and the most frequent key words were erythema, blisters, bark, area, and size. The stages with high prediction accuracy were in the order of stage 0, deep tissue injury suspected, and stage 2. These results suggest that it can be developed as a clinical decision support system available to practice for nurses at the pressure ulcer prevention care.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.89-95
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• 2021

Pressure sores are an unresolved human challenge. In this study, a keyboard-type medical bed was developed and a body pressure sensor was installed to provide a method to control the keyboard so that the pressure sores do not reach the critical pressure. For this, a keyboard-type mattress using a 4bar link is developed, and a method of controlling the height adjustment of the keyboard within the critical pressure through a body pressure sensor is used. There is a feeling of discomfort in the body when the keyboard is raised and lowered from pressure sores, which is an important factor: pressure x time, and only time control is performed, but if the proposed method is used, pressure is controlled within the critical pressure, thereby preventing bedsores in a comfortable state. The effectiveness and validity of the developed medical bed system were verified through theories and experiments.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.197-205
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• 2012

In this study, we analyzed situation and length of stay(LOS) variations of inpatients with pressure ulcer using patient safety indicators developed by the United States Agency for Healthcare Research and Quality(AHRQ) and proposed management of medical quality and development of policy. The dataset was taken from 1,373 database of the hospital discharge injury survey from 2005 to 2008. Analysis method was used frequency and chi-square test, ANOVA, multiple linear regression analysis. In result, distribution of inpatients with pressure ulcer by sex were 52.5%(male), 47.5%(female), respectively and aged $65{\geqq}years$ was the highest in age group. LOS of inpatients with nervous system principal disease was the longest. Independent variables which were statistically associated with LOS of inpatients with pressure ulcer were year, sex, insurance type, bed size, operation, principal diagnosis. Therefore, hospital should develop the standardized strategy and guidelines to manage pressure ulcer inpatients efficiently and apply it into the medical information system.

• Journal of the Korean Physical Therapy Association
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• v.9 no.2
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• pp.11-18
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• 1988

• 한국호스피스완화의료학회:학술대회논문집
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• 2003.12a
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• pp.205-209
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• 2003

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.11a
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• pp.171-172
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• 2007

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.326-327
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• 2022

This study is an algorithm for clinical decision-making using machine learning, and it is an algorithm to classify pressure sores to be used in the development of a system to help prevent pressure sores when nursing staff care for patients who lie down for a long time. As a result of machine learning, the learning accuracy of the algorithm was 82.14% and the test accuracy was 82.58%.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1120-1123
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• 2011

본 논문에서는 거동이 불편한 일부 노인들의 욕창 예방을 목적으로 만들어진 U-Health 에 대한 시스템 구축을 제안한다. 제안된 시스템은 구김에 강한 필름 형 압력 센서를 사용하여 무선으로 데이터의 송수신이 가능한 시스템이다. 이러한 시스템은 간병인 및 간호사들이 실시간으로 환자의 대소변 여부나 자세 고정 시간을 확인할 수 있도록 하여 보다 정확한 환자의 상태 관리가 가능하다. 또한 데이터를 통한 체압 측정의 특정 메커니즘을 도입하여 체압 데이터의 신뢰성을 보였다.

• Korean Journal of Adult Nursing
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• v.22 no.4
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• pp.353-364
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• 2010

Purpose: The purpose of this study was to develop an algorithm for preventing and managing of pressure ulcer and to verify the its appropriateness. Methods: The first step was development of a pre-algorithm through a literature review and expert opinion. The second step was to establish content validity by submitting the algorithm questionnaires about the content to 12 experts. The third step was the revision of the algorithm. The fourth and last step was to establish the clinical validity of the algorithm with 25 experienced nurses. Results: For the ease of the practitioner the algorithm for prevention and the management of pressure ulcers was confined to one page depicting the main algorithm pathway and seven stepwise guidelines. The guidelines included skin care of pressure ulcer prevention, mechanical loading care, support surface care, reposition care of pressure ulcer, and Stages II, III and IV explanations along with debridement/wound irrigation and infection control. Most of all algorithm courses chosen more than 80% of agreement by expert index of content validity. The usefulness, appropriateness, and convenience of the algorithm were demonstrated through clinical validity with intensive care unit and ward nurses. Conclusion: The algorithm will improve the quality of pressure ulcer nursing care as it provides a model for decision making for clinical nurses as well as providing consistent and integrated nursing care for patients with pressure ulcer throughout an institution.