• Communications for Statistical Applications and Methods
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• v.25 no.5
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• pp.501-512
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• 2018

We propose Sequential Patient Recruitment Monitoring (SPRM), a new monitoring procedure for patient recruitment in a clinical trial. Based on the sequential probability ratio test using improved stopping boundaries by Woodroofe, the method allows for continuous monitoring of the rate of enrollment. It gives an early warning when the recruitment is unlikely to achieve the target enrollment. The packet data approach combined with the Central Limit Theorem makes the method robust to the distribution of the recruitment entry pattern. A straightforward application of the counting process framework can be used to estimate the probability to achieve the target enrollment under the assumption that the current trend continues. The required extension of the recruitment period can also be derived for a given confidence level. SPRM is a new, continuous patient recruitment monitoring tool that provides an opportunity for corrective action in a timely manner. It is suitable for the modern, centralized data management environment and requires minimal effort to maintain. We illustrate this method using real data from two well-known, multicenter, phase III clinical trials.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.25-31
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• 2015

Smart healthcare environments which merge medical and IT technology are getting ready for the third generation centering EHR from current second generation. As a basic technology for the introduction and activation of EHR systems it requires heterogeneous network interworking techniques between various wired and wireless medical devices. Interworking technology for heterogeneous network among various medical devices is needed to introduce EHR system. The heterogeneous network interworking technology is needed for construction of a reliable data system to convert each of unstructured data into structured data. Therefore, in this paper, we identify the domestic and international trends of smart medical field and analyze the characteristics of wired and wireless communication technology that is used in a heterogeneous network. and also suggest requirements needed for interworking technology and provide interworking technology based on them. we expect that proposed method which is designed for smart healthcare environments would provide a basic architecture needed for third smart medical technology generation.

• Journal of Korean Clinical Nursing Research
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• v.19 no.3
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• pp.357-368
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• 2013

Purpose: The purpose of this study was to investigate risk factors related to delirium and to develop screening model on delirium occurrence in MICU (Medical Intensive Care Unit) patients. Methods: For developing a preliminary tool for delirium, the data of 166 patients were collected and analyzed. In order to estimate the accuracy and discriminating power for the developed screening model, 98 patients were enrolled. The data used in this study were collected by EMR (Electronic Medical Record) review from January to September in 2012. The collected data were analyzed using SPSS/PC Win 18.0 program. Results: Screening model on delirium in MICU patients was developed using the results of logistic regression. The total score of screening model was 24 point and measuring point was 10 point. When the measuring point is over 10 point, it means that the risk of delirium occurrence is high. The discriminating power and the validity of screening model showed AUC .908 (p <.001) and .935 (p <.001) respectively. This result showed that the screening model on delirium which developed in this study was an appropriate model for screening the delirium risk group in MICU. The sensitivity of the screening model was 83%, specificity 89% and accuracy 84%. Conclusion: The developed screening model on delirium occurrence in MICU should be combined with EMR for screening and preventing delirium in a high risk group.

• Child Health Nursing Research
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• v.25 no.1
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• pp.56-64
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• 2019

Purpose: This study was conducted to obtain data for the development of an effective fall risk assessment tool for pediatric inpatients through a systematic review and meta-analysis of the diagnostic test accuracy of existing scales. Methods: A literature search using Medline, Science Direct, CINAHL, EMBASE, and the Cochrane Library was performed between March 1 and 31, 2018. Of 890 identified papers, 10 were selected for review. Nine were used in the meta-analysis. Stata version 14.0 was used to create forest plots of sensitivity and specificity. A summary receiver operating characteristic curve was used to compare all diagnostic test accuracies. Results: Four studies used the Humpty Dumpty Falls Scale. The most common items included the patient's diagnoses, use of sedative medications, and mobility. The pooled sensitivity and specificity of the nine studies were .79 and .36, respectively. Conclusion: Considering the low specificity of the pediatric fall risk assessment scales currently available, there is a need to subdivide scoring categories and to minimize items that are evaluated using nurses' subjective judgment alone. Fall risk assessment scales should be incorporated into the electronic medical record system and an automated scoring system should be developed.

• Journal of Preventive Medicine and Public Health
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• v.39 no.5
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• pp.433-437
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• 2006

Objectives: The aim of this study is to develop a methodology for estimating a nationwide statistic for hernia operations with using the claim database of the Korea Health Insurance Cooperation (KHIC). Methods: According to the insurance claim procedures, the claim database was divided into the electronic data interchange database (EDI_DB) and the sheet database (Paper_DB). Although the EDI_DB has operation and management codes showing the facts and kinds of operations, the Paper_DB doesn't. Using the hernia matched management code in the EDI_DB, the cases of hernia surgery were extracted. For drawing the potential cases from the Paper_DB, which doesn't have the code, the predictive model was developed using the data mining technique called SEMMA. The claim sheets of the cases that showed a predictive probability of an operation over the threshold, as was decided by the ROC curve, were identified in order to get the positive predictive value as an index of usefulness for the predictive model. Results: Of the claim databases in 2004, 14,386 cases had hernia related management codes with using the EDI system. For fitting the models with applying the data mining technique, logistic regression was chosen rather than the neural network method or the decision tree method. From the Paper_DB, 1,019 cases were extracted as potential cases. Direct review of the sheets of the extracted cases showed that the positive predictive value was 95.3%. Conclusions: The results suggested that applying the data mining technique to the claim database in the KHIC for estimating the nationwide surgical statistics would be useful from the aspect of execution and cost-effectiveness.

• Journal of Korean Clinical Nursing Research
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• v.25 no.3
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• pp.275-284
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• 2019

Purpose: The purpose of this study was to analyze the current state of home health nursing (HHN) for elders and to provide basic data on policy alternatives for establishing home medical care in the advanced general hospital. Methods: This study was conducted as a secondary data analysis, using electronic medical record (EMR) data of older patients who received HHN more than once from the S advanced general hospital between January 2016 and December 2018. Results: A total of 1,790 patients received HHN visits, with 22,477 visits being made. The mean age was 76.8±7.3 years old, 96.0% of elders had health insurance and 24.6% had orthopedics problems. Of the 1,168 people who visited emergency rooms, the most frequent symptom was pain (23.4%) and all patients visited the hospital at least once and at most 163 times outpatient care during HHN. Causative diseases were degenerative knee joint osteoarthritis (0.6%), surgery for right knee replacement (4.0%), and for dressings (9.7%) in the HHN service content analysis. Conclusion: The progress towards an aging society and the introduction of community care are expected to further enhance the need for HHN which should be able to provide comprehensive and continuous visiting health care services to the older patients. The results of this study are expected to help doctors solve problems not solved by HHN, reduce unnecessary emergency room or outpatient visits, and readmission, while at the same time contributing to the improvement of patient quality of life through efficient patient health care.

• Quality Improvement in Health Care
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• v.24 no.2
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• pp.2-14
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• 2018

Purpose: The objective of this study was to report the incidence of falls in hospitals and analyze the risk factors for falls. Methods: This study used data on 1,216 patients who experienced falls from 2015 to 2017 during their hospitalization. The data was collected from the falls incident reports and patient' electronic medical record of hospital. Data were analyzed with descriptive statistics using Chi-square test, Fisher's exact test and multiple Poisson regression analysis with the SAS 9.4 Results: The incidence of falls was 1.38 per 1,000 patients days (2015), 1.81 per 1,000patients days (2016) and 1.99 per 1,000patients days (2017). The incidence of injury caused by falls (level III~V) was 0.05 per 1,000patients days (2015), 0.04 per 1,000patients days (2016) and 0.06 per 1,000patients days (2017). The largest number of falls occurred during night shift (42.5%), specifically in the patients' room (70.8%), and medical unit (66.0%). Average age of fallers was 69.1 years and 61.7% of them were older than 71 years. CCI and the patient's department have statistically significant differences in injury or injury levels from falls, but the integrated nursing care services had no significant difference in injury or injury levels from falls. Conclusion: The result of this study can be used as a reference for establishing a fall prevention strategy for hospitalized patients by presenting index values such as the fall rate.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.279-288
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• 2019

The purpose of this study was to compare the health behaviors and health indices according to whether a percutaneous coronary intervention(PCI) was performed due to chest pain. This is a secondary data analysis study of nursing information questionnaires and electronic medical records of 247 chest pain patients in a hospital from January 2010 to December 2017. The participants were divided into non-PCI and PCI groups, and the health behaviors, blood pressure, and blood lipid levels were collected at the first hospital admission and re-admission. Collected data were analyzed using SPSS 24.0. As a result of the study, smoking and lipid levels were significantly healthier than the participants in PCI group during re-hospitalization. Non-PCI group had a high risk of smoking despite the high risk of coronary artery stenosis. It was found that continuous integrated management to promote health behavior is needed. The significance of this study was to identify the importance of health behavior in patients with the risk of cardiovascular disease.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.217-229
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• 2018

Electronic Health Record (EHR) systems are widely adopted worldwide in hospitals for generating and exchanging records of patient information. Recent developments are moving towards implementing interoperable EHR systems that enable information to be shared seamlessly across healthcare organizations. In this context, this paper explores the factors that cause medical information privacy concerns, identifies how people react to privacy invasion and what their perceptions are towards the acceptance of the EHR system. Interviews were conducted to draw a grounded theory on medical information privacy concerns in the use of EHRs. Medical information privacy concerns are caused by perceived sensitivity of medical information and the weaknesses in security technologies. Trust in medical professionals, medical institutions and technologies plays an important role in determining people's reaction to privacy invasion and their perceptions on the use of EHRs.

• Journal of radiological science and technology
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• v.31 no.1
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• pp.1-10
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• 2008

Ubiquitous health care system, which is one of the developing solution technologies of IT, BT and NT, could give us new medical environments in future. Implementing health information systems can be complex, expensive and frustrating. Healthcare professionals seeking to acquire or upgrade systems do not have a convenient, reliable way of specifying a level of adherence to communication standards sufficient to achieve truly efficient interoperability. Great progress has been made in establishing such standards-DICOM, IHE and HL7, notably, are now highly advanced. IHE has defined a common framework to deliver the basic interoperability needed for local and regional health information networks. It has developed a foundational set of standards-based integration profiles for information exchange with three interrelated efforts. HL7 is one of several ANSI-accredited Standards Developing Organizations operating in the healthcare arena. Most SDOs produce standards (protocols) for a particular healthcare domain such as pharmacy, medical devices, imaging or insurance transactions. HL7's domain is clinical and administrative data. HL7 is an international community of healthcare subject matter experts and information scientists collaborating to create standards for the exchange, management and integration of electronic healthcare information. The ASTM specification for Continuity of Care Record was developed by subcommittee E31.28 on electronic health records, which includes clinicians, provider institutions, administrators, patient advocates, vendors, and health industry. In this paper, there are suggestions that provide a test bed, demonstration and specification of how standards such a IHE, HL7, ASTM can be used to provide an integrated environment.