• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.450-451
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• 2012

The need of Clinical Decision Support System (CDSS) in healthcare setup is increasing day by day. EHR Meaningful Use advocates CDSS as an important component of EHR/EMR systems. CDSS can be ranged from a simple to a very sophisticated system. The more complex CDSS systems need more attention to develop because of many reasons including its Knowledge Base (KB) structure/maintenance/evolution, inference capabilities and usability. Above all the KB maintenance and evolution is very crucial and important from the perspective of useful decision capabilities. Also the richness of the KB is important to cover the decision gaps handling a particular situation in the course of patient care. It cannot be expected from the clinicians to remember everything in regard to patient diagnosis and treatment. Similarly, it is also crucial for clinicians to keep themselves updated with the new research in the area. That is the reason they frequently require accessing to the online knowledge resources. Literature proved that online knowledge resources are capable providing answers to questions that might not be answered rely only on clinician wisdom and experience. This paper provides the theme of meaningful utilization of online knowledge resources in the context of diagnosis and treatment process for cancer patients more specifically Head and Neck cancer.

• Journal of Korea Multimedia Society
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• v.22 no.5
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• pp.613-625
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• 2019

The rise of the Internet of Things (IoT) devices have greatly influenced many industries and one of them is healthcare where wearable devices started to track all your daily activities for better health monitoring accuracy and even down to tracking daily food intake in some cases. With the amounts of data that are being tracked and shared between from these devices, questions were raised on how to uphold user's data privacy when data is shared between these IoT devices and third party. With the blockchain platforms started to mature since its inception, the technology can be implemented according to a variety of use case scenarios. In this paper, we present a system architecture based on the healthcare system and IoT network by leveraging on multiple blockchain networks as the medium in between that should enable users to have direct authority on data accessibility of their shared data. We provide proof of concept implementation and highlight the results from our testing to show how the efficiency and scalability of the healthcare system improved without having a significant impact on the performance of the Electronic Medical Record (EMR) that mostly affected by the previous solution since these solutions directly connected to a public blockchain network and which resulted in significant delays and high cost of operation when a large amount of data or complicated functions are involved.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.27-32
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• 2019

Along with the growth of u-Healthcare, we propose a security enhancement based on network separation for CloudHIS with for handling healthcare information to cope with cyber attack. To protect against all security threats and to establish clear data security policies, we apply desktop computing servers to cloud computing services for CloudHIS. Use two PCs with a hypervisor architecture to apply physical network isolation and select the network using KVM switched controller. The other is a logical network separation using one PC with two OSs, but the network is divided through virtualization. Physical network separation is the physical connection of a PC to each network to block the access path from both the Internet and the business network. The proposed system is an independent desktop used to access an intranet or the Internet through server virtualization technology on a user's physical desktop computer. We can implement an adaptive solution to prevent hacking by configuring the CloudHIS, a cloud system that handles medical hospital information, through network separation for handling security enhancement.

• Korean Journal of Clinical Laboratory Science
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• v.54 no.1
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• pp.73-77
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• 2022

Blood products (BPs) can only be obtained through blood donation and hence represent a finite resource. BPs should therefore be used conservatively. However, BPs are being used indiscriminately without evidence. The purpose of this study was to evaluate the reasons for the use of BPs and their appropriateness. The investigation was carried out based on hemoglobin levels. Data were obtained from Nov 1, 2020, to Oct 31, 2021, from a hospital's OCS/EMR systems. The BPs were dispensed in 21,303 cases, and the number of hemoglobin levels >7.0 g/dL or higher among red blood cell drugs used by each treatment department was 1,173 (>7.0 g/dL). The misuse of blood transfusions is increasing social costs, with the adequacy of transfusion becoming increasingly important. Hence, each medical institution should review the transfusion guideline evaluation index, check the status of the release of BPs, and institute educational programs covering transfusion guidelines and continually evaluate their adequacy.

• Korean Journal of Artificial Intelligence
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• v.11 no.4
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• pp.9-13
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• 2023

In this study, we explored the potential of integrating interactive AI callbot technology into the medical consultation domain as part of a broader service development initiative. Aimed at enhancing patient satisfaction, the AI callbot was designed to efficiently address queries from hospitals' primary users, especially the elderly and those using phone services. By incorporating an AI-driven callbot into the hospital's customer service center, routine tasks such as appointment modifications and cancellations were efficiently managed by the AI Callbot Agent. On the other hand, tasks requiring more detailed attention or specialization were addressed by Human Agents, ensuring a balanced and collaborative approach. The deep learning model for voice recognition for this study was based on the Transformer model and fine-tuned to fit the medical field using a pre-trained model. Existing recording files were converted into learning data to perform SSL(self-supervised learning) Model was implemented. The ANN (Artificial neural network) neural network model was used to analyze voice signals and interpret them as text, and after actual application, the intent was enriched through reinforcement learning to continuously improve accuracy. In the case of TTS(Text To Speech), the Transformer model was applied to Text Analysis, Acoustic model, and Vocoder, and Google's Natural Language API was applied to recognize intent. As the research progresses, there are challenges to solve, such as interconnection issues between various EMR providers, problems with doctor's time slots, problems with two or more hospital appointments, and problems with patient use. However, there are specialized problems that are easy to make reservations. Implementation of the callbot service in hospitals appears to be applicable immediately.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.456-462
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• 2011

As the ARRA enacted recently in the United States, the interest in EHR systems have been increased in the field of medical industry. The passage of the ARRA presents a program that provides incentives to office-based physicians and hospitals adapting the EHR systems to guarantee interoperability with various medical standards. Thanks to the incentive program, a great number of EHR systems have been developed and lots of office-based physicians and hospitals have adapted the EHR systems certified by CCHIT. Keeping pace with the rapid changes in the market of healthcare, some enterprises try to push in to the United States healthcare market based on the experience acquired by developing EHR systems for hospitals in Korea. However, the developed system must be customized because of the different medical environment between Korea and the United States. In this paper, therefore, we design and develop an integrated EHR platform to guarantee the interoperability between different medical information systems based on medical standard technologies. In the developed platform, an integrated system has been composed by integrating various basic techniques such as data transmission standards and its methods, medical standard terminologies and its usage, and knowledge management for medical decision-making support. Moreover, medical data can be processed electronically by adapting an HL7 interface engine and the terminologies for exchanging medical information and the standardization of medical information. We develop SeniCare, an EHR system for supporting ambulatory care of the office-based physicians, based on the platform, and we verify the usability of the platform by confirming whether SeniCare satisfies the criteria of "meaningful use" issued by CMS or not.

• Journal of the Korean Society of Radiology
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• v.6 no.2
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• pp.143-149
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• 2012

Today each hospital is trend that change rapidly by up to date, digitization and introducing newest medical treatment equipment. So, we introduce new CR system and supplement film system's shortcoming and PACS, EMR, RTP system's network that is using in hospital harmoniously and accomplish quality improvement of medical treatment and service elevation about business efficiency enlargement and patient Accordingly, we wish to introduce our case that integrate reflex that happen with radiation oncology here upon to PACS using CR system and estimate the availability. We measured that is Gantry, Collimator Star Shot, Light vs. Radiation, HDR QA(Dwell position accuracy) with Medical LINAC(MEVATRON-MX) Then, PACS was implemented on the digital images on the monitor that can be confirmed through the QA. Also, for cooperation with OCS system that is using from present source and impose code that need in treatment in each treatment, did so that Order that connect to network, input to CR may appear, did so that can solve support data mistake (active Pinacle's case supports DICOM3 file from present source but PACS does not support DICOM3 files.) of Pinacle and PACS that is Planning System and look at Planning premier in PACS. All image and data constructed integration to PACS as can refer and conduct premier in Hospital anywhere using CR system. Use Dosimetry IP in Filmless environment and QA's trial such as Light/Radition field size correspondence, gantry rotation axis' accuracy, collimator rotation axis' accuracy, brachy therapy's Dwell position check is available. Business efficiency by decrease and so on of unnecessary human strength consumption was augmented accordingly with session shortening as that integrate premier that is neted with radiation oncology using CR system to PACS. and for the future patient information security is essential.

• Journal of Hospice and Palliative Care
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• v.19 no.2
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• pp.119-126
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• 2016

Purpose: This study analyzed the difference in survival time of patients with delirium according to sedative medication. Methods: From January 2012 through December 2013, a retrospective cohort study was performed using the electronic medical records (EMR) of Pusan National University Hospital. Among 900 patients who died from cancer, we selected 240 who suffered delirium based on the EMR. The Nu-DESC delirium screening test was used to diagnose delirium. Results: The median length of delirium period was five days. Delirium characteristics were dominated by inappropriate behaviors (35.0%). Sedatives were administered in 72.1% of the cases. The most frequently used sedative was haloperidol which was used in 59.6% of cases. The delirium period significantly differed by patients' age (F=3.96, P=0.021), cancer type (F=3.31, P=0.010), chemotherapy (t=-3.44 P=0.001). The average survival time was 16.85 days for the sedative medication group and 9.37 days for the non-medication group, which, however, was not significant (t=1.766, P=0.079). Conclusion: In this study, the use of sedatives did not affect patients' survival time. Thus, appropriate sedative medication can be positively recommended to comfort terminal cancer patients and their families.

• Journal of radiological science and technology
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• v.35 no.1
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• pp.51-57
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• 2012

In this experiment, we investigated 82 patients who suffered adverse reactions due to contrast medium. We selected the subjects out of 21,178 people who had an intravenous injection of contrast medium to undergo MDCT examination at one university hospital in Busan in 2007. As a result, the largest groups of the patients were as follows. 52.4% of the patients were male when classify by gender; 28.0% of the patients were 50's by age; 45% of the patients got when it was spring(April and March); 75.6% of the patients had a side effects when the speed of injection is 2.5mL/sec; 58.5% of the patients were suffered when the volume of injected contrast medium is over 130mL. Urticaria was the main symptom of side effect as 26.8%. And the main treatment for the effect was alleviating the symptoms before making patients to return home. Thus, practical preventive measures are needed as follows : use the OCS system to observe warning signs at risky patients, secure warming spaces for patients to cope with season changing, prepare enough emergency kits for the patients in danger, and establish CPR call systems, explain the risk of contrast medium and get agree about using contrast medium.

• Korean Journal of Clinical Pharmacy
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• v.23 no.2
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• pp.158-166
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• 2013

Background: Colorectal cancer shows a significant increase in South Korea due to westernization of diet, lack of dietary fiber, drinking and smoking, irregular defecation. There are surgery, chemotherapy, radiation therapy in treatment of colorectal cancer. There may be a medication errors in the process of chemotherapy because of its high toxicity, narrow therapeutic index and the health status of cancer patients. Consequently medication errors can cause increasing the risk of death, prolonging hospital stay and increasing the cost. Among medication errors on medication use process, prescribing errors are of particular concern due to higher risk of serious consequences. It is important for pharmacist to prevent the prescribing errors before reaching patient. Therefore we analyzed the prescriptions of colorectal cancer, classified prescribing errors, suggested guideline to reduce prescribing errors and verified the importance of pharmacist's role in prevention of medication errors activity. Methods: We collected the numbers of prescriptions of colorectal cancer(n=2,373) through anti cancer management program and EMR and analyzed the errors of prescriptions by categories from Oct 1st 2011 to Sep 30th 2012 at Chungbuk National University Hospital. We reviewed the prescriptions as follows - patients' characteristics, the result of test, previous prescriptions, characteristics of antineoplastic agents and patients' allergy, drug sensitivity, adverse events. Prescriptions are classified into inpatient and outpatient and analyzed the errors of prescriptions by categories (dosage form, dose, input, diluents, regimen, product). Results: Total prescription number of inpatient and outpatient of colorectal cancer was 1,193 and 1,180 and that of errors was 107(9%) and 22(1.9%), respectively. In case of errors of categories, the number of errors of dosage form is 69 and 8, errors of dose is 15 and 5, errors of input is 9 and 9 in inpatient and outpatient prescriptions, respectively. Errors of diluents is 8, errors of regimen is 3, errors of product is 3 in only inpatient prescriptions. In case of errors of categories by inpatient department, the number of errors of dosage form is 34 and 35, errors of dose is 7 and 8, errors of input is 6 and 3, errors of diluents is 4 and 4, errors of regimen is 2 and 1, errors of product is 2 and 1 in SG and HO, respectively. In case of outpatient department, the number of errors of dosage form is 8 in HO, errors of dose is 5 in HO, errors of input is 5 and 4 in SG and HO, respectively. Conclusions: The rate of errors of inpatient is higher than that of outpatient. Junior doctors are engaged in prescriptions of inpatient and pharmacist need to pay attention to review all prescriptions. If prescribing errors are discovered, pharmacist should contact the prescriber and correct the errors without delay. The guideline to reduce prescribing errors might be upgrading software of anti cancer management program, education for physicians as well as pharmacists and calling prescriber's attention to preventing recurrence of errors.