• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.9
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• pp.2370-2387
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• 2012

A new security management model based on Rough set and Bayesian learner is proposed in the paper. The model focuses on finding out malicious nodes and getting them under control. The degree of dissatisfaction (DoD) is defined as the probability that a node belongs to the malicious node set. Based on transaction history records local DoD (LDoD) is calculated. And recommended DoD (RDoD) is calculated based on feedbacks on recommendations (FBRs). According to the DoD, nodes are classified and controlled. In order to improve computation accuracy and efficiency of the probability, we employ Rough set combined with Bayesian learner. For the reason that in some cases, the corresponding probability result can be determined according to only one or two attribute values, the Rough set module is used; And in other cases, the probability is computed by Bayesian learner. Compared with the existing trust model, the simulation results demonstrate that the model can obtain higher examination rate of malicious nodes and achieve the higher transaction success rate.

• Journal of Korean Biological Nursing Science
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• v.19 no.2
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• pp.60-68
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• 2017

Purpose: The purpose of this study was to analyze the relationship between lower urinary tract symptoms and urodynamic parameters to investigate the characteristics of mixed urinary incontinence (MUI) and stress urinary incontinence (SUI). Methods: The subjects were 318 women with MUI and 128 women with SUI. Data were collected retrospectively from electronic medical records including Bristol Female Lower Urinary Tract Symptoms-Scored Form (BFLUTS-SF), Incontinence Quality of Life Instrument (I-QOL), voiding diaries, and urodynamic parameters. Results: Compared with the SUI group, the MUI group was older and showed lower I-QOL and more severe urinary tract symptoms. The MUI group had more urinary frequency, more nocturia, and a higher urgency score than the SUI group. In the correlation analysis, the greatest difference between the two groups was that urgency was associated with Qmax, maximal cystometric capacity, and detrusor overactivity only in the MUI group (r = -.175, p= .004; r = -.281, p< .001; r= .232, p< .001, respectively). Conclusion: As a result of this study, we propose that a customized management program that emphasizes the control of urgency for the MUI group, and one that effectively strengthens the weak pelvic floor for the SUI group.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.

• Archives of Plastic Surgery
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• v.48 no.3
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• pp.295-304
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• 2021

Clinical photography is an essential component of patient care in plastic surgery. The use of unsecured smartphone cameras, digital cameras, social media, instant messaging, and commercially available cloud-based storage devices threatens patients' data safety. This paper Identifies potential risks of clinical photography and heightens awareness of safe clinical photography. Specifically, we evaluated existing risk-mitigation strategies globally, comparing them to industry standards in similar settings, and formulated a framework for developing a risk-mitigation plan for avoiding data breaches by identifying the safest methods of picture taking, transfer to storage, retrieval, and use, both within and outside the organization. Since threats evolve constantly, the framework must evolve too. Based on a literature search of both PubMed and the web (via Google) with key phrases and child terms (for PubMed), the risks and consequences of data breaches in individual processes in clinical photography are identified. Current clinical-photography practices are described. Lastly, we evaluate current risk mitigation strategies for clinical photography by examining guidelines from professional organizations, governmental agencies, and non-healthcare industries. Combining lessons learned from the steps above into a comprehensive framework that could contribute to national/international guidelines on safe clinical photography, we provide recommendations for best practice guidelines. It is imperative that best practice guidelines for the simple, safe, and secure capture, transfer, storage, and retrieval of clinical photographs be co-developed through cooperative efforts between providers, hospital administrators, clinical informaticians, IT governance structures, and national professional organizations. This would significantly safeguard patient data security and provide the privacy that patients deserve and expect.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.116-132
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• 2022

Automated medical claims processing and billing is a popular application domain of information technology. Managing medical related data is a tedious job for healthcare professionals, which distracts them from their main job of healthcare. The technology used in data management has a sound impact on the quality of healthcare data. Most of Information Technology (IT) organizations use conventional software development technology for the implementation of healthcare systems. The objective of this experimental study is to devise a mechanism for use of rule-based expert systems in medical related edits and compare it with the conventional software development technology. A sample of 100 medical edits is selected as a dataset to be tested for implementation using both technologies. Besides empirical analysis, paired t-test is also used to validate the statistical significance of the difference between the two techniques. The conventional software development technology took 254.5 working hours, while rule-based technology took 81 hours to process these edits. Rule-based technology outperformed the conventional systems by increasing the confidence value to 95% and reliability measure to 0.462 (which is < 0.5) which is three times more efficient than conventional software development technology.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.493-502
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• 2012

This study aimed to determine the management and environmental factors affecting medical expense reduction. For analysis, medical expenses were divided into hospitalization expenses and outpatient treatment expenses, and the rate of medical expense reduction was classified into initial and final reduction rates. Data were collected through a direct survey among 205 directors of independent health insurance review departments of hospital-level medical institutions in Korea. The results of the study are discussed below: In the analysis, differences in the initial and final reduction rates of hospitalization expenses and outpatient treatment expenses were compared. The results showed that, in hospitalization expenses, the initial and final reduction rates were both significantly affected by the following management factors: number of beds, number of departments, number of personnel reviewing health insurance cases, and total number of employees. Further, in outpatient treatment expenses, the initial and final reduction rates were both affected significantly by the following management factors: management of medical records, number of beds, number of departments, number of personnel reviewing health insurance, and total number of employees. The management factors significantly affecting both the initial and final reduction rates were higher number of beds for hospitalization expenses and electronic medical record management for outpatient treatment expenses. The environmental factors significantly affecting both the initial and final reduction rates of hospitalization expenses were a highly cooperative work environment, better implementation of indicator management systems, and overtime pay. Better implementation of indicator management system and a committee for handling medical expenses had significant effects on the initial reduction rate for outpatient treatment expenses. A highly cooperative work environment, better implementation of indicator management system, and overtime pay had significant effects on the final reduction rate for outpatient treatment expenses.

• Journal of Korean Library and Information Science Society
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• v.42 no.4
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• pp.281-309
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• 2011

This research designed and proposed metadata elements for the long-term preservation of digital research outcomes collected and managed in electronic file form. Metadata structure of both domestic and foreign agencies that manage research outcomes and CERIF and PREMIS-preserved preservation metadata were referred to design the metadata elements. The metadata design was divided into research information, bibliographic information and archival information. Research information is divided into project, name and institution, and composed of eight top-level elements and 29 sub-level elements. Bibliographic information is composed of 13 top-level elements as the source of research reports. Archival information is composed of 18 top-level elements and 62 sub-level elements as the elements for context, structure, contents and management process of the electronic records.

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

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.2
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• pp.387-392
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• 2022

In addition to complying with access standards for facilities that require infection control (operating rooms, delivery rooms, intensive care units, etc.) in accordance with the 2019 Medical Care Act Enforcement Regulations, entry, exit, contact information, etc. for entry and exit, the criteria for entering and exiting special rooms of medical institutions have been revised so that records of facts are kept for one year. However, even now, the inconvenience continues due to the fact that such contents are created by hand or due to errors. For this reason, this study designed and implemented a system that provides automatic opening, closing, and accessing record storage functions for authorized users using IoT devices and UWB technology, and we expected that the convenience of the visitors and systemized access control will be possible.

• Journal of Information Management
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• v.39 no.2
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• pp.45-74
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• 2008

The purpose of this study was to promote the understanding of laboratory notebook's record characteristics through getting a line on the importance of the notebooks which have record, information, communication, and proof functions. To improve the research ethics and cultures, this study was examined and investigated by literature references and survey results. This study analyzed the status of the notebooks in part of laboratory information system of the R&D institutes, paper notebooks for laboratory records management, and the introduction of ELN for digital record. For the notebook's institutionalization, more review is needed to the possibility of involvement in the conflict, evidential requisite and signature by inspector, the limitation of autonomous policy for the notebook's operation, the difficulty of preservation for 30 years, the introduction of ELN and utilization for the notebooks. To improve management and institutionalization for the notebooks, it is needed to the notebook's record for knowledge management and evidential values, support and budget for the notebook's management department, researcher's recognition conversion for the notebooks related to the intellectual property and technology transference, the record method train for the notebooks from the university classes, and the introduction of ELN related to the laboratory information management system or project management system.