• Journal of Internet of Things and Convergence
• /
• v.10 no.6
• /
• pp.1-6
• /
• 2024

This study discusses the necessity of standardizing patient data using blockchain technology and explores its application methods. Existing medical data management systems have limitations in ensuring patient safety and quality of care due to inefficiencies in information sharing and data distribution across multiple medical institutions. Blockchain, as a decentralized ledger technology, guarantees data integrity and security while granting patients the authority to manage their own medical information. This study proposes an approach that integrates medical information systems with blockchain technology to enhance data interoperability, ensuring secure data sharing and efficient management. By doing so, it aims to improve the quality of healthcare services and explores the potential for applications in various medical fields, including patient history management, medication tracking, and telemedicine.

• The Journal of Korean Medicine
• /
• v.30 no.1
• /
• pp.40-50
• /
• 2009

Objectives: The clinical document forms, a format for collecting clinical data, is the most fundamental object of standardization. Doctors must have a mutual understanding of the clinical chart. Methods: Clinical document forms were developed by investigating existing conditions in hospitals and conducting demand surveys, doing literature research, and seeking expert advice for the improvement of version 1.0. In addition, an organization of a network of 19 Oriental medical doctors and nurses, 190 patients, and users of collected and assessed data was formed to come up with version 2.0. Results: The overall format was divided into different portions that the patient, nurse, and doctor must fill out, respectively. The patient's section consists of demographic data, lifestyle details, history, and symptoms. The data to be supplied by the nurse include the patient's vital signs and anthropometric parameters. As for the doctors, they are to supply data regarding the patient's palpitation, the detailed symptoms of the patient's head, ophthalmological and otorhinolaryngological symptoms (mouth), respiration, circulatory organ and chest conditions, digestive-organ conditions (thirst), neuropsychiatric conditions, reproductive system, musculoskeletal system, skin (depilation), etc. Conclusions: Common clinical chart development is the prior question to Traditional Korean Medicine standardization. A web-based clinical document format should be developed to support diagnosis and treatment, and furthermore EMR (electronic medical record system) and EHR (electronic health record) developed. Clinical information could be shared through a network of medical institutions and be useful Traditional Korean Medicine for evidence-based medicine.

• Journal of Digital Convergence
• /
• v.12 no.7
• /
• pp.285-290
• /
• 2014

In these days the patient can be easy to see the treatment results at home without going directly to hospital. Despite the many advantages that the patient is got optimum service timely, the currently used personal healthcare devices have no compatibility because the manufacturer use the proprietary software and hardware protocols. For these issues, standardization is required between the set-top box and the individual healthcare devices. In this paper, we designed the healthcare set-top box possible to biometric data transmission by using a standard IEEE P11073 between the device and the set-top box. Because the set-top box using IEEE P11073 standardization can transfer data independently, we are expected to make it contribute significantly to the healthcare business.

• Journal of Korea Multimedia Society
• /
• v.22 no.4
• /
• pp.480-490
• /
• 2019

Nowadays, Electronic Medical Record (EMR) has just implemented at few hospitals for Outpatient Department (OPD). OPD is the diversified data, it includes demographic and diseases of patient, so it need to be clustered in order to explore the hidden rules and the relationship of data types of patient's information. In this paper, we propose a novel approach for unsupervised clustering of patient's demographic and diseases in OPD. Firstly, we collect data from a hospital at OPD. Then, we preprocess and transform data by using powerful techniques such as standardization, label encoder, and categorical encoder. After obtaining transformed data, we use some strong experiments, techniques, and evaluation to select the best number of clusters and best clustering algorithm. In addition, we use some tests and measurements to analyze and evaluate cluster tendency, models, and algorithms. Finally, we obtain the results to analyze and discover new knowledge, meanings, and rules. Clusters that are found out in this research provide knowledge to medical managers and doctors. From these information, they can improve the patient management methods, patient arrangement methods, and doctor's ability. In addition, it is a reference for medical data scientist to mine OPD dataset.

• Korea Journal of Hospital Management
• /
• v.26 no.2
• /
• pp.27-42
• /
• 2021

This study investigated the differences in patient experience by arrangement type of medical tourism facilitators(MTF) from the pre-visit to visit stages. Specifically, patient experiences from each stage with different service providers (MTFs and medical institutions) were measured: provision of information and respect for patient preferences as pre-visit experiences with the facilitators, communication and concierge services as visit experiences with the facilitators, and medical services as medical institution experiences. The scale to measure foreign patients' experiences was modified from the 'Picker in-patient questionnaire(PPE)' and the 'Picker patient experience questionnaire(PPE-15)'. Quantitative data were collected by conducting a self-administered questionnaire on 173 patients from China, Russia, Mongolia, and Kazakhstan. Qualitative data were collected by conducting in-depth interviews with 9 patients and 9 service providers. The data were collected between January and October in 2019. Quantitative data was analyzed by SPSS 25 for Chi-squared test and ANOVA, and qualitative data were analyzed based on keywords. The main results are as follows. When foreign patients used only overseas MTFs, they had a relatively positive patient experience in respect of receiving pre-visit information(F=7.47, p<.01) and respect for patient preferences(F=3.11, p<.05). Looking at both domestic and overseas facilitators during the visit, the patient experience was relatively negative for communication(F=3.75, p<.05). Regarding medical institutions, patients had a relatively negative patient experience with regards to medical services when they used both domestic and overseas facilitators(F=6.49, p<.01). The implications of this study are as follows. Patients should have a seamless and high-quality experience regardless of the facilitator arrangement type. This can be prepared through service standardization for the service providers. It would be also necessary to consider each other's features and problems at the institutional level and to improve service coordination by having service providers periodically communicate with each other.

• Genomics & Informatics
• /
• v.11 no.4
• /
• pp.186-190
• /
• 2013

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

• Journal of Information Technology Services
• /
• v.23 no.3
• /
• pp.39-54
• /
• 2024

This study explores the barriers to using health and medical data in research and development (R&D) within the healthcare industry and suggests ways to enhance data utilization. As artificial intelligence technology drives transformative changes across industries, there is an increased demand for robust health and medical data, highlighting its critical economic value and utility in fostering innovation. Using qualitative analysis through Grounded Theory, the study involves ten R&D professionals from healthcare industry, including both medical centers and corporations, using surveys and in-depth interviews to gather diverse experiences and perspectives on the challenges and opportunities in health and medical data use. Key findings point to legislative, regulatory, and data quality and integration issues, as well as complexities in patient data access and usage. Technological limitations and inadequate data governance frameworks also emerge as significant obstacles. Recommendations focus on improving regulatory frameworks, enhancing data standardization and quality, and fostering stronger partnerships between data custodians and users. The study concludes that overcoming these obstacles requires a comprehensive strategy involving legislative changes, improved technological infrastructure, and increased stakeholder collaboration. Implementing these recommendations could greatly enhance health and medical data utilization in R&D, significantly advancing medical science and patient care services.

• Proceedings of the IEEK Conference
• /
• 2006.06a
• /
• pp.857-858
• /
• 2006

Estrangement hierarchical by bipolarization is deepened and time space that social welfare by graying corresponds great so. Specially, is real condition that indifference by patient's increase which is solitary life string is come to involve by social problem. Together, Jaetaek bone fracture patient's ratio is zooming. Domestic BT technology, medical treatment solution technology offer more important role than role assistance enemy of modern technology and utilize by creative technology can . Specially, if apply supersonic waves in bone fracture treatment, there is treatise data that can reduce bone fracture treatment period of bone that bone does not stick well about 40%. Supersonic waves operation frequency used on both end because do 1m Hz, 1.3mHz, supersonic waves origination that have 1.5mHz's Piezo-ceramic crystal tranducer material each 4 premature senilitys in this research, and outside diameter according to impedance and Phase d used Gakgak4mm, 5.4mm, Dukke0.5mm, transformer deuce of length 70mm. Manufactured, and investigated supersonic waves distribution chart by capacity 50m W. Supersonic waves used by diagnosis mainly but is seen to become convenient medical treatment mounting in bone fracture patient's treatment if supplement clinically. If supplement system furthermore, is going to apply to osteoporosis patient, and this research tried to design poetic theme width directly and study rain standardization special quality and approach basic form because do modelling.

• Genomics & Informatics
• /
• v.6 no.3
• /
• pp.136-141
• /
• 2008

A large number of studies have been performed to identify biomarkers that will allow efficient detection and determination of the precise status of a patient’s disease. The use of microarrays to assess biomarker status is expected to improve prediction accuracies, because a whole-genome approach is used. Despite their potential, however, patient samples can differ with respect to biomarker status when analyzed on different platforms, making it more difficult to make accurate predictions, because bias may exist between any two different experimental conditions. Because of this difficulty in experimental standardization of microarray data, it is currently difficult to utilize microarray-based gene sets in the clinic. To address this problem, we propose a method that predicts disease status using gene expression data that are transformed by their ranks, a concept that is easily applied to two datasets that are obtained using different experimental platforms. NCI and colon cancer datasets, which were assessed using both Affymetrix and cDNA microarray platforms, were used for method validation. Our results demonstrate that the proposed method is able to achieve good predictive performance for datasets that are obtained under different experimental conditions.

• Journal of Biomedical Engineering Research
• /
• v.26 no.6
• /
• pp.399-406
• /
• 2005

In these days, HIS(Hospital Information System) raise the quality of medical services by effective management of medical records. As computing environment was developed, it is possible to search information quickly. But, standard medical data exchange is not completed between medical clinic and another organ so far. In case of patient transfer, past medical record was not efficiently transmitted. It be feasible treatment delay or medical accident. It is trouble that medical records is transferred by a person and communicate with each other. Extensible Markup Language (XML) is a simple, very flexible text format derived from SGML. Originally designed to meet the challenges of large-scale electronic publishing, XML is also playing an increasingly important role in the exchange of a wide variety of data on the Web and elsewhere. Form in system of company product, relative organs that handle bio-signal data is each other dissimilar and integration and to transmit to supplement bottleneck this research uses XML. In this study, it is discussed about sharing of medical data using XML web technology to standard medical record between hospital and relative organization The data structure model was designed to manage bio-signal data and patient record. We experimented about data transmission and all-in-one between different systems (one make use of MS-SQL database system and the other manage existent bio-signal data in itself form in file in this research). In order to search and refer medical record, the web-based system was implemented. The system that can be shared medical data was tested to estimate the merits of XML. Implemented XML schema confirms data transmission between different data system and integration result.