• Journal of Society of Preventive Korean Medicine
• /
• v.18 no.3
• /
• pp.11-21
• /
• 2014

The rapid development and distribution of information communication industry facilitates the changes of hospital administration, introducing EMR(Electronic Medical Record) instead of paper-based medical record in the medical field. The developed countries such as U.S. have established EMR system after in the middle of 1970s because the primary advantages of EMR is to store and handle vast amounts of records efficiently and increase the quality of health care. Most of health organizations in Korea also apply medical record system to their administration. As the result, they have accomplished a scientific administration system through the use of medical record to handle a variety of patient's information including patient's confidentiality and privacy such as family history, social status, income level, and so on. However, access to and the misuse of EMR causes illegal infringement of patient's information and finally it becomes a very serious medical issue. Potential leakage and misuse of records may seriously infringe patient's privacy rights. In this respect, the related agencies in the public and private sector have been making efforts to prevent patient's records leakages. Especially, the revision bill of Medical Law in 2002 establishes the ways on the security and standards of electronic records. However, it does not provide the proper guidelines which is applied to the rapid changes of the medical environment. One of the most priorities in the hospital administration is the production and maintenance of an accurate medical records fulfilled by medical recorders. Therefore, it is very important for health care providers to hire ethical-based medical recorders. But, unfortunately most of hospitals overlook the importance of their roles. All parts including government, physician and patient must have more concerns on the problems related to EMR. Therefore, this study aims to propose the proper ways to resolve the problems coming from EMR.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.4
• /
• pp.826-842
• /
• 2024

As 5G and AI continue to develop, there has been a significant surge in the healthcare industry. The COVID-19 pandemic has posed immense challenges to the global health system. This study proposes an FL-supported edge computing model based on federated learning (FL) for predicting clinical outcomes of COVID-19 patients during hospitalization. The model aims to address the challenges posed by the pandemic, such as the need for sophisticated predictive models, privacy concerns, and the non-IID nature of COVID-19 data. The model utilizes the FATE framework, known for its privacy-preserving technologies, to enhance predictive precision while ensuring data privacy and effectively managing data heterogeneity. The model's ability to generalize across diverse datasets and its adaptability in real-world clinical settings are highlighted by the use of SHAP values, which streamline the training process by identifying influential features, thus reducing computational overhead without compromising predictive precision. The study demonstrates that the proposed model achieves comparable precision to specific machine learning models when dataset sizes are identical and surpasses traditional models when larger training data volumes are employed. The model's performance is further improved when trained on datasets from diverse nodes, leading to superior generalization and overall performance, especially in scenarios with insufficient node features. The integration of FL with edge computing contributes significantly to the reliable prediction of COVID-19 patient outcomes with greater privacy. The research contributes to healthcare technology by providing a practical solution for early intervention and personalized treatment plans, leading to improved patient outcomes and efficient resource allocation during public health crises.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.20 no.6
• /
• pp.251-260
• /
• 2010

Through the convergence of medical services and the IT technique, the patient's personal health information computerization has been rapidly spread with propagation of electronic medical record(EHR). In addition, by entering u-health, the demand of the secondary use for public health, medical research, and medical service using electronic patient health care records are increasing. The personal health information secondary uses for the development of academic medical area and service, are very good thing. But, carelessly to use personal health information, the patient privacy would be damaged. However, there are not yet systematic studies about secondary use of personal health information. Therefore, in this paper, we analyze the difference of the internal and external bill for personal medical data secondary use and propose the direction of the medical service development and preservation of the individual's privacy.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.1
• /
• pp.437-454
• /
• 2020

According to the privacy regulations of the health insurance portability and accountability act (HIPAA), patients' control over electronic health data is one of the major concern issues. Currently, remote access authorization is considered as the best solution to guarantee the patients' control over their health data. In this paper, a new biometric-based key management scheme is proposed to facilitate remote access authorization anytime and anywhere. First, patients and doctors can use their biometric information to verify the authenticity of communication partners through real-time video communication technology. Second, a safety channel is provided in delivering their access authorization and secret data between patient and doctor. In the designed scheme, the user's public key is authenticated by the corresponding biometric information without the help of public key infrastructure (PKI). Therefore, our proposed scheme does not have the costs of certificate storage, certificate delivery, and certificate revocation. In addition, the implementation time of our proposed system can be significantly reduced.

• International journal of advanced smart convergence
• /
• v.8 no.2
• /
• pp.204-210
• /
• 2019

Mobile Crowd Computing is one of the most efficient and effective way to collect the Electronic health records and they are very intelligent in processing them. Mobile Crowd Computing can handle, analyze and process the huge volumes of Electronic Health Records (EHR) from the high-performance Cloud Environment. Electronic Health Records are very sensitive, so they need to be secured, authenticated and processed efficiently. However, security, privacy and authentication of Electronic health records(EHR) and Patient health records(PHR) in the Mobile Crowd Computing Environment have become a critical issue that restricts many healthcare services from using Crowd Computing services .Our proposed Efficient Multi-layer Encryption Framework(MLEF) applies a set of multiple security Algorithms to provide access control over integrity, confidentiality, privacy and authentication with cost efficient to the Electronic health records(HER)and Patient health records(PHR). Our system provides the efficient way to create an environment that is capable of capturing, storing, searching, sharing, analyzing and authenticating electronic healthcare records efficiently to provide right intervention to the right patient at the right time in the Mobile Crowd Computing Environment.

• Korean Journal of Adult Nursing
• /
• v.12 no.4
• /
• pp.666-677
• /
• 2000

The purpose of this study was to identify the needs which were perceived by patients who were received spinal anesthesia for surgery. The subjects consisted of 50 adult patients who were admitted to 2 university hospitals and 2 general hospitals in Pusan city and 1 general hospital in Koje City for surgery under spinal anesthesia. Thirty eight percent of subjects received information about anesthesia before the operation. The instrument for this study was developed by the researcher based on literature and a pretest. Data were collected from December 10, 1999 to February 10, 2000 and were analyzed by content analysis. The results were that there were 533 meaningful statements in the needs of spinal anesthesia patients. The needs of spinal anesthesia patients had 51 items (preoperation (6), induction of anesthesia(5), intraoperation (27), postoperation(13)) and 6 categories (information, emotional welfare, physical welfare, post anesthetic management, control of physical environment, humane treatment). From the results, it can be concluded that: 1. In the pre-operation period, we have to explain anesthesia procedures, adequate position of anesthesia, duration before anesthesia wears off and sensation of paralysis. We have to supply emotional support to relieve anxiety because of anesthesia. 2. In induction of anesthesia, we have to support patient's position for anesthesia, and relieve anxiety so that patients participate in induction of anesthesia well. 3. In intra-operative period, we have to check the level of anesthesia, and keep up a comfortable position for operation and care for physical discomfort such as thirst, nausea, vomiting, dyspnea and to maintain body temperature of the patient. Since the patient is conscious, we have to communicate with the patient to relieve anxiety, maintain privacy, inform the patient of the process of the operation and encourage the surgeon to explain the outcome of the operation. The operating team needs the careful about what they say and to place the instrument well. We have to ventilate the room air and reduce noise. 4. In the post-operative period, we have to explain the purpose and duration of bed rest, complications of anesthesia and care for physical discomfort such as pain, dysuria, headache, backache. Also we have to maintain body temperature of the patient and maintain privacy.

• Journal of Internet Computing and Services
• /
• v.10 no.2
• /
• pp.29-40
• /
• 2009

The development of information technology such as the internet has brought about rapidly changes the old medical technology, e-Healthcare has been to raise social issue. The e-Healthcare which new turning point of paradigm in the medical information develops the medical policy in Korea and the technology, the prospective of reverse engineering in internet environment is incurring problems such as distribution of critical information and invasion and infringement of privacy, etc. In this research, we suggest the Role Based Access Control System, HPIP-e-Healthcare Privacy Information Protection, for solving above problem. The HPIP is composed 4 mechanisms such as Consolidate User Identity, Hospital Authorization, Medical Record Access Control, Patient Diagnosis and we are also prototyping the HPIP for feasible approach in the real computing environment.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.261-269
• /
• 2023

We propose to design a Holochain-based security and privacy protection system for resource-constrained IoT healthcare systems. Through analysis and performance evaluation, the proposed system confirmed that these characteristics operate effectively in the IoT healthcare environment. The system proposed in this paper consists of four main layers aimed at secure collection, transmission, storage, and processing of important medical data in IoT healthcare environments. The first PERCEPTION layer consists of various IoT devices, such as wearable devices, sensors, and other medical devices. These devices collect patient health data and pass it on to the network layer. The second network connectivity layer assigns an IP address to the collected data and ensures that the data is transmitted reliably over the network. Transmission takes place via standardized protocols, which ensures data reliability and availability. The third distributed cloud layer is a distributed data storage based on Holochain that stores important medical information collected from resource-limited IoT devices. This layer manages data integrity and access control, and allows users to share data securely. Finally, the fourth application layer provides useful information and services to end users, patients and healthcare professionals. The structuring and presentation of data and interaction between applications are managed at this layer. This structure aims to provide security, privacy, and resource efficiency suitable for IoT healthcare systems, in contrast to traditional centralized or blockchain-based systems. We design and propose a Holochain-based security and privacy protection system through a better IoT healthcare system.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.9
• /
• pp.2589-2604
• /
• 2024

Brain tumors, characterized by uncontrollable cellular growths, are a significant global health challenge. Navigating the complexities of tumor identification due to their varied dimensions and positions, our research introduces enhanced methods for precise detection. Utilizing advanced learning techniques, we've improved early identification by preprocessing clinical dataset-derived images, augmenting them via a Generative Adversarial Network, and applying an Improved Privacy-Preserving Collaborative Convolutional Neural Network (IPC-CNN) for segmentation. Recognizing the critical importance of data security in today's digital era, our framework emphasizes the preservation of patient privacy. We evaluated the performance of our proposed model on the Figshare and BRATS 2018 datasets. By facilitating a collaborative model training environment across multiple healthcare institutions, we harness the power of distributed computing to securely aggregate model updates, ensuring individual data protection while leveraging collective expertise. Our IPC-CNN model achieved an accuracy of 99.40%, marking a notable advancement in brain tumor classification and offering invaluable insights for both the medical imaging and machine learning communities.

• Journal of The Korea Institute of Healthcare Architecture
• /
• v.6 no.11
• /
• pp.71-78
• /
• 2000

This study indicates bed-transfer as the significant behavior of a ward and points out architecture that cannot meet the patient's need. It is examined that inpatient's behavior depends on visibility, psychological security, privacy & communication, control, support and this study applies them to analyze the selected cases. This study also emphasizes the supportive role of hospital architecture so that the function of a ward as a healing environment may be maintained.