• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.12
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• pp.732-736
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• 2005

ln general, hospital information system should provide interoperability hat usually and operate independence of other HIS. This study proposes a new HIS paradigm that can be implemented within standard HL7 Interface engine and clinical data repository (CDR). We have developed an alternative architecture relying on agent solutions with distributed queries to heterogeneous databases. This architecture creates a very fine and flexible repository that can handle queries with the bases of standard HL7 messaging structure. Deploying Agent solutions to manipulate autonomy of storage management and sociality for communication with open world is another issue that keeps this system from reinventing existing wheels in medical informatics. This study the first attempt to construct CDR based private clinic. We used the information stored in the clinical patient record system of the internal medicine private hospital which is used rational database. We were searched increasing the 1,000 data entry from 1,000 to 10,000. By the result, experimental CDR showed highly efficient performance more than 6,000. In the future, the CDR can be further extended for clinical information among private hospitals estranged from EHR (Electronic Health Records).

• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.8-13
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• 2019

Despite technical advances in healthcare, the rates of hospital-acquired pressure injury (HAPI) are still high although many are potentially preventable. The purpose of this study was to determine whether tree-based prediction modeling is suitable for assessing the risk of HAPI in ICU patients. Retrospective cohort study has been carried out. A decision tree model was constructed with Age, Weight, eTube, diabetes, Braden score, Isolation, and Number of comorbid conditions as decision nodes. We used RStudio for model training and testing. Correct prediction rate of the final prediction model was 92.4 and the Area Under the ROC curve (AUC) was 0.699, which means there is about 70% chance that the model is able to distinguish between HAPI and non-HAPI. The results of this study has limited generalizability as the data were from a single academic institution. Our research finding shows that the data-driven tree-based prediction modeling may potentially support ICU sensitive risk assessment for HAPI prevention.

• The Journal of Korean Medicine
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• v.40 no.3
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• pp.188-197
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• 2019

Objectives: The objective of this study is to analyze and observe what kinds of changes in Patients who visited a Korean Medicine Hospital according to the Application of Chuna Therapy Health Insurance and Medical benefits. Methods: In this study we collected data of Patients who first visited the ${\bigcirc}{\bigcirc}{\bigcirc}{\bigcirc}$ Korean Medicine Hospital from March 8 to May 8. we collected data of 1074 Patients who first visited the Daejeon Jaseng Korean Medicine Hospital from March 8 to May 8. Based on the medical charts, Computer order, we analyze and observe statistical data of 1074 patients putting them into six groups. Outcuomes: 1.The increase in the rate of receiving chuna therapy was significant in Group A and Group B(${\rho}<0.05$). 2.The increase in the onset of the disease for more than one year was significant in Group C and Group D(${\rho}<0.05$). 3.The increase in the proportion with disease Corporal was significant in Group E and Group F(${\rho}<0.05$). Conclusions: According to according to the Application of Chuna Therapy Health Insurance and Medical benefits, the number of patients receiving Chuna Therapy increased, and people with old illnesses were more likely to receive Chuna Therapy.

• Journal of Korean Public Health Nursing
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• v.6 no.1
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• pp.15-24
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• 1992

This study was conducted to follow the patient referral system operated from the primary health care facilities to the hospital in a rural area of Korea. The subject for this study was sampled from a community health development project carried out by the Korea University in Yeoju Kun, Kyonggi Province. The data of referred patients from primary health care facilities were collected during the period from January 1989 to December 1989. The data was sorted out by a computer system using Database package. The results of this study were summarized as follows: 1. Characteristics of the referred patients were: males $32.0\%$. and females $68.0\%$. The more elderly of the patients visited to the hospital after having been referred there by CHPs or public physicians, $25.9\%$ has been to hospital on at least one previous occasion as against $74.1\%$ for whom it was there first visit. 2. The majority of patients who were referred to a hospital where: medicine $44.3\%$ and orthopedics$16.4\%$, major diseases were : diseases of digestive system $(21.3\%)$ ; symptoms and ill defined conditions $(17.3\%)$ ; diseases of the muscular skeletal system and connective tissue$(14.2\%)$. chronic illness was $82.0\%$ and acute illlness was $18.0\%$. 3. From Community health practitioners more patients referred than the public physicians. Categoris of diseases of the referred patients were different between community health practitioners and public physicians. Due to the. respective differences between the medical restrictions put on the nursing staffs at the community health practitioners and public physicians. From this study it was recommended to define the reason of differences between ~he two groups in futher study. Study as to 1) why one group should be referring more for hospital treatment than the other. And 2) why the two agencies should be referring different diseases.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2481-2490
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• 2015

The issue of PHR is maintained on the server will be in the hospital. PHR information stored on the server, such as a patient's illness and treatment is very sensitive information. Therefore, patients should be guaranteed the protection of privacy. In addition, the PHR should be allowed to group access of it's approach. Therefore, in this paper the proposed group signature using hierarchical identity-based encryption schemes into can guarantee the PHR data privacy. The session key generated by group signature, it is use a tiered approach. The generated session keys safe PHR data transmission is possible. The proposed method is average 80% than the PKI encryption and ID-based encryption rather than average 50% the algorithm processing is more efficient

• Clinical Endoscopy
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• v.56 no.5
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• pp.553-562
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• 2023

Colonoscopy plays an important role in reducing the incidence and mortality of colorectal cancer by detecting adenomas and other precancerous lesions. Image-enhanced endoscopy (IEE) increases lesion visibility by enhancing the microstructure, blood vessels, and mucosal surface color, resulting in the detection of colorectal lesions. In recent years, various IEE techniques have been used in clinical practice, each with its unique characteristics. Numerous studies have reported the effectiveness of IEE in the detection of colorectal lesions. IEEs can be divided into two broad categories according to the nature of the image: images constructed using narrow-band wavelength light, such as narrow-band imaging and blue laser imaging/blue light imaging, or color images based on white light, such as linked color imaging, texture and color enhancement imaging, and i-scan. Conversely, artificial intelligence (AI) systems, such as computer-aided diagnosis systems, have recently been developed to assist endoscopists in detecting colorectal lesions during colonoscopy. To gain a better understanding of the features of each IEE, this review presents the effectiveness of each type of IEE and their combination with AI for colorectal lesion detection by referencing the latest research data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.677-680
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• 2008

Miniaturization of equipments which have wireless network function and sensor have changed utilization method of computer in daily life, and have contributed to development for ubiquitous computing environment. In this paper, we design camera control system based wireless mobile and web-environmental through which nurse, doctor and family of patient can share and observe the information on condition of patient in hospital. Besides, this camera control system makes it possible to integrate diverse equipments of hospital into one system, and to conduct remote control function which can be applied to the patient control system. It is impossible to control shooting direction of camera apparatus in a remote area for observing patient in a hospital room through general web camera. So in this paper, we showed new design; we attached step motor which can rotate 360 degrees to web camera, and the step motor can operate through control board. Besides, we developed application for two environments, mobile and web-based environment, which enables us to offer proper efficiency in accordance with condition of observer through observation of control and collected image data.

• Proceedings of the KOSOMBE Conference
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• v.1992 no.11
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• pp.97-99
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• 1992

After development of order communication system for out-patients using PC and LAN in May 1992, this system had been tested for 2 months. The system also use Host computer(IBM 9221-170) as a data bank and communicats wi th emulation card(3270 emulator. Interlink Inc., Korea). Since September 1992, this system(named YOUSEI-PC) has been running successfully in the Yonsei Cardiovascular Center of the Severance Hospital, Yonsei University College of Medicine. After introducing this system, it enables patients to receive drugs wi thin 30 minutes after prescription and revealed effective system not to reduce waiting time for the patients but also to remove charge-troubling(due to mis-entry of prescription). This system also seems to be effective in terms of office automatism for hospital management. However users, usually physitions, required more friendly and easy system to operate and we thought that the most important one to successfully introduce order communication computer system in the hospital is user interface.

• Korean Journal of Radiology
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• v.25 no.4
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• pp.343-350
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• 2024

Objective: Artificial intelligence-based computer-aided diagnosis (AI-CAD) is increasingly used in mammography. While the continuous scores of AI-CAD have been related to malignancy risk, the understanding of how to interpret and apply these scores remains limited. We investigated the positive predictive values (PPVs) of the abnormality scores generated by a deep learning-based commercial AI-CAD system and analyzed them in relation to clinical and radiological findings. Materials and Methods: From March 2020 to May 2022, 656 breasts from 599 women (mean age 52.6 ± 11.5 years, including 0.6% [4/599] high-risk women) who underwent mammography and received positive AI-CAD results (Lunit Insight MMG, abnormality score ≥ 10) were retrospectively included in this study. Univariable and multivariable analyses were performed to evaluate the associations between the AI-CAD abnormality scores and clinical and radiological factors. The breasts were subdivided according to the abnormality scores into groups 1 (10-49), 2 (50-69), 3 (70-89), and 4 (90-100) using the optimal binning method. The PPVs were calculated for all breasts and subgroups. Results: Diagnostic indications and positive imaging findings by radiologists were associated with higher abnormality scores in the multivariable regression analysis. The overall PPV of AI-CAD was 32.5% (213/656) for all breasts, including 213 breast cancers, 129 breasts with benign biopsy results, and 314 breasts with benign outcomes in the follow-up or diagnostic studies. In the screening mammography subgroup, the PPVs were 18.6% (58/312) overall and 5.1% (12/235), 29.0% (9/31), 57.9% (11/19), and 96.3% (26/27) for score groups 1, 2, 3, and 4, respectively. The PPVs were significantly higher in women with diagnostic indications (45.1% [155/344]), palpability (51.9% [149/287]), fatty breasts (61.2% [60/98]), and certain imaging findings (masses with or without calcifications and distortion). Conclusion: PPV increased with increasing AI-CAD abnormality scores. The PPVs of AI-CAD satisfied the acceptable PPV range according to Breast Imaging-Reporting and Data System for screening mammography and were higher for diagnostic mammography.

• Journal of Integrative Natural Science
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• v.2 no.4
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• pp.243-251
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• 2009

This paper surveys some researches to accomplish on bioinformatics. These researches wish to propose a database architecture combining a general view of bioinformatics data as a graph of data objects and data relationships, with the efficiency and robustness of data management and query provided by indexing and generic programming techniques. Here, these invert the role of the index, and make it a first-class citizen in the query language. It is possible to do this in a structured way, allowing users to mention indexes explicitly without yielding to a procedural query model, by converting functional relations into explicit functions. In the limit, the database becomes a graph, in which the edges are these indexes. Function composition can be specified either explicitly or implicitly as path queries. The net effect of the inversion is to convert the database into a hyperdatabase: a database of databases, connected by indexes or functions. The inversion approach was motivated by their work in biological databases, for which hyperdatabases are a good model. The need for a good model has slowed progress in bioinformatics.