• 동서간호학연구지
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• 제15권2호
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• pp.63-70
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• 2009

Purpose: The purpose of this study was to evaluate hospital service utilization by the types of hospitals in Type I Medicaid claims frequently cited by elderly beneficiaries. Methods: Three frequently claimed inpatient diseases were selected: cerebral infarction, hypertension and diabetes mellitus. Relevant data were collected for the year 2008 from the computer database of the National Health Insurance Corporation. The data was analyzed using SPSS by descriptive statistics, ANOVA and coefficient of variation. Results: The coefficient of variance of hospitalization per episode was higher than daily hospital expenditure among hospitals for all three diseases. The coefficient of variance of hospitalization per episode was highest for cerebral infarction. The coefficient of variation of hospital expenditure per hospital day was highest for hypertension. Conclusions: Evaluating of the volume and pattern of hospital service utilization and the appropriateness for hospital admission for Type-I Medicaid elderly beneficiaries is important for Medicaid-based case management.

• The Korean Journal of Pain
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• 제35권4호
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• pp.403-412
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• 2022

Background: Most pain management techniques for challenging procedures are still performed under the guidance of the C-arm fluoroscope although it is sometimes difficult for even experienced clinicians to understand the modified three-dimensional anatomy as a two-dimensional X-ray image. To overcome these difficulties, the development of a virtual simulator may be helpful. Therefore, in this study, the authors developed a virtual simulator and presented its clinical application cases. Methods: We developed a computer program to simulate the actual environment of the procedure. Computed tomography (CT) Digital Imaging and Communications in Medicine (DICOM) data were used for the simulations. Virtual needle placement was simulated at the most appropriate position for a successful block. Using a virtual C-arm, the authors searched for the position of the C-arm at which the needle was visualized as a point. The positional relationships between the anatomy of the patient and the needle were identified. Results: For the simulations, the CT DICOM data of patients who visited the outpatient clinic was used. When the patients revisited the clinic, images similar to the simulated images were obtained by manipulating the C-arm. Transforaminal epidural injection, which was difficult to perform due to severe spinal deformity, and the challenging procedures of the superior hypogastric plexus block and Gasserian ganglion block, were successfully performed with the help of the simulation. Conclusions: We created a pre-procedural virtual simulation and demonstrated its successful application in patients who are expected to undergo challenging procedures.

• 한국컴퓨터정보학회논문지
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• 제23권4호
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• pp.115-120
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• 2018

A Clinical Pathway(CP) is standard process to way of treat diseases or injuries which is adapted to each hospital based on National Clinical Practice Guideline(CPG). Since CP is standard guideline for doctors and nurses working in a hospital, making and modifying CP is one of the most important administrational work for hospital and also rare work because once it is fixed, it's not changed whether there are new kind of disease discovered or new treatment is developed. However, in present, patient's waiting time during hospital residence process, is discussed as service competitive for patients. In this research, we utilize process mining tool to verify patients treatment process follows CP with EMR(Electronic Medical Record) in a sample hospital, and suggest modifcation point of CP through verification.

• 한국컴퓨터정보학회논문지
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• 제24권5호
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• pp.103-111
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• 2019

The purpose of this study was to investigate how internal marketing affects self-efficacy and hospital image in university hospital nurses. In addition, it was to identify which factors of internal marketing is the most important factor perceived by the nurses. The sample consisted of 228 nurses working in one university hospital located in Changwon city of Gyeongnam province. The measurements included internal communication (5 items), empowerment (5 items), reward (3 items), education and training (5 items), working environment (3 items), leadership (5 items), self-efficacy (5 items), and hospital image (8 items) based on a review of related previous studies. Survey data were analyzed employing SPSS version 20.0 and AMOS version 20.0. The nurses rated internal communication (0.887) of the internal marketing sub-factors the most important, while they evaluated working environment (0.802) the lowest. The internal marketing perceived by nurses has a positive effect on self-efficacy (0.476) and hospital image (0.674). Nurses' self-efficacy also had a positive effect on hospital image (0.226). The findings reveal that the managers should build a positive climate of internal marketing activities in order to enhance nurses' self-efficacy and hospital image.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 추계학술대회
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• pp.361-364
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• 2012

USN(Ubiquitous Sensor Network)는 환자의 생체 정보를 실시간으로 수집하고 수집된 정보를 DB(Data Base)에 저장을 한다. DB에 저장된 환자의 생체 정보는 환자가 자주 이용하는 병원에 저장되어 환자가 병원을 이용 할 경우 저장되어 있는 환자의 생체 정보를 가지고 진료를 하게 된다. 하지만 저장되어 있는 위치는 병원 내의 서버나 PC 환경에 저장을 해놓고 있기 때문에 환자가 다른 병원을 이용하게 될 경우 기존 병원의 DB에 요청을 해야 한다. 하지만 기존 병원은 보안, 인증, 관리, 비용, 인력 등의 문제가 있기 때문에 다른 병원과의 정보 교환이 쉽게 이루어지지 않는 문제가 있다. 그래서 환자의 생체 정보가 환자의 모바일 기기에 저장 되어 있는 경우 그대로 사용할 수 있다는 장점이 있다. DB는 정보를 빠르고 정확하게 찾는 것이 중요하다. 본 연구에서는 환자 중심의 서비스를 위한 모바일 순환 Loop DB 시스템을 연구한다.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제37권
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• pp.44.1-44.6
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• 2015

Background: The present study introduces the design and fabrication of a simple surgical guide with which to perform genioplasty. Methods: A three-dimensional reconstruction of the patient's cranio-maxilla region was built, with a dentofacial skeletal model, then derived from CT DICOM data. A surgical simulation was performed on the maxilla and mandible, using three-dimensional cephalometry. We then simulated a full genioplasty, in silico, using the three-dimensional (3D) model of the mandible, according to the final surgical treatment plan. The simulation allowed us to design a surgical guide for genioplasty, which was then computer-rendered and 3D-printed. The manufactured surgical device was ultimately used in an actual genioplasty to guide the osteotomy and to move the cut bone segment to the intended location. Results: We successfully performed the osteotomy, as planned during a genioplasty, using the computer-aided design and computer-aided manufacturing (CAD/CAM) surgical guide that we initially designed and tested using simulated surgery. Conclusions: The surgical guide that we developed proved to be a simple and practical tool with which to assist the surgeon in accurately cutting and removing bone segments, during a genioplasty surgery, as preoperatively planned during 3D surgical simulations.

• 한국컴퓨터정보학회논문지
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• 제10권5호
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• pp.271-280
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• 2005

본 연구에서는 한방분야에서 검진에 영향을 미치는 요인들에 대하여 의사결정나무기법을 이용하여 도출하였고, 군집 분석을 통해 환자들의 특성에 대하여 알아보았다. 또한 질병간 연관성 분석을 재입원 환자 군들의 질병 구조를 파악하기 위하여 실시하였다 아울러 도출된 군집들은 병원수익에 어떤 영향을 미치고 있는지에 대한 결과를 도출하였다. 즉 한방분야에 대하여 데이터마이닝 기법을 적용한 데이터베이스 마케팅을 통해 내원 환자들의 특성을 파악하고 병원 수익에 영향을 미치는 요인들을 실증적으로 도출하였다. 본 연구를 통하여 병원의 효율적인 운영과 활성화를 위한 데이터베이스 마케팅을 실시함으로써 병원 경영 에 효율성을 도모할 수 있을 것이다.

• International Journal of Internet, Broadcasting and Communication
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• 제10권1호
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• pp.31-39
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• 2018

The purpose of this study was to examine the meaning and structure of nurses' computer using experience. To do this, we conducted a total of three interviews with 11 nurses working between the ages of 26 and 48. Interview data were interpreted using Giori method (1985) and Lincoln & Guba method (1985). As a result, 112 semantic units were derived, and then 18 sub-components were divided into 5 final components. As a result of the analysis, the computer experience that the nurses used in the hospital consisted of 'used for almost every task', 'usefulness', 'important', 'convenience', 'burden', 'anxiety', desire', simple work level', 'no problems', 'eye, muscle and movement discomfort', 'depends on task', 'more complex', 'accuracy', 'organize contents', 'simple', 'incomparable', and 'easy'. Based on the above conclusions, the nurses' experiences of using the computer in the hospital could be concluded as follows. Currently, almost all nursing jobs in hospitals are using computers. However, most of the tasks related to simple computer tasks related to the ability to use the computer was low, and because of this, the computer did not work properly, or when new programs were introduced to feel the burden and anxiety, want more systematic computer education Found. Especially, according to the career, the difference between computer and hand work was different, Nurses over 20 years said that computers can handle simple tasks that are a bit more complicated than manual tasks, whereas emotional tasks were handicapped, in the 10 to 20 years of experience, computer work was more accurate and appropriate to organize content, Nurses under 10 years were not only easy to work with computers but also have no experience in manual work, they could not compare the computer and the hand work. This study suggests that the use of computers in nurses' work is essential and that more systematic computer-based education should be provided. In addition, due to the nature of the nursing service, the professional opinions of the nurses should be reflected in the development of programs for the emotional nursing work.

• 대한치매학회지
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• 제17권3호
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• pp.83-89
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• 2018

Machine learning is where a machine (i.e., computer) determines for itself how input data is processed and predicts outcomes when provided with new data. An artificial neural network is a machine learning algorithm based on the concept of a human neuron. The purpose of this review is to explain the fundamental concepts of artificial neural networks.

• 한국컴퓨터정보학회논문지
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• 제27권12호
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• pp.69-76
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• 2022

본 논문에서는 MIMIC-IV(Medical Information Mart for Intensive Care) v2.0 데이터를 이용한 시계열 데이터의 정제 및 가공 방법을 제안한다. 더불어 해당 가공법을 기반으로 정제한 데이터셋을 활용하여 구축한 기계학습 기반의 욕창 조기 경보 시스템을 통해 해당 가공 방법의 유의성을 검증하였다. 구현된 욕창 조기 경보 시스템은 병변이 발생하기 전 12, 24시간에 미리 의료진에게 경보를 주는 시스템이다. 전자의무기록(Electronic Medical Record; EMR) 시스템과 연동하여 실시간으로 환자의 욕창 발생 위험도를 의료진에게 알려 중환자 의사결정을 지원하고, 나아가 효율적인 의료 자원 배분을 가능하게 한다. 여러 기계학습 모델 중 GRU 모델을 사용하였을 때, AUROC 평가지표를 기준으로 발생 전 12시간이 0.831, 24시간이 0.822로 가장 좋은 성능을 보였다.