• The Journal of Korean Physical Therapy
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• v.24 no.5
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• pp.370-376
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• 2012

Purpose: This study examined whether there are differences in cognitive styles between orthopedic and neurological physical therapists, and whether these differences change with clinical experience in clinical reasoning. Methods: A survey study was conducted on 88 orthopedic and neurologic physical therapists working in South Korea. The survey items used by May and Dennis (1991) were translated, and only those items related to data-gathering and information-processing were used. Results: The cognitive style was similar in the orthopedic and neurologic physical therapists, but the clinical experience affected the cognitive styles of clinical reasoning. Physical therapists with more than 60 months clinical experience responded most positively to the preceptive and systematic styles in clinical reasoning. Conclusion: These results suggest that physical therapy education should provide physical therapy students with a clinical reasoning process related specifically to a particular clinical field.

• Journal of Korean Society for Quality Management
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• v.42 no.2
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• pp.153-163
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• 2014

Purpose: This research aims to find out clinical information protection behavior within a medical institution in mandatory circumstance based on health psychology theories Methods: This research has developed the survey based on the variables from ealth psychology theories; and conducted the survey during the whole month in April 2013. In the end, 256 samples have been used for this research's analysis. Results: First of all, Empirical results has proved that perceived benefits, self-efficacy, and cues to action have an positive influence on clinical information protection behavior. Perceived barriers has an negative influence. Finally, it has proven from the research that perceived severity and perceived susceptibility do not have an impact on clinical inf ormation protection behavior Conclusion: These findings provide an enriched understanding about medical institution workers information protection behavior on patient's clinical information.

• Korean Journal of Clinical Pharmacy
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• v.32 no.3
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• pp.166-177
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• 2022

Background: Recently clinical trials have expanded extensively in Korea; thus, ensuring the rights of subjects participating in clinical trials is imperative. Accordingly, national regulations on subject recruitment advertisement were enforced from October 25, 2018. In this study, the effect of this regulation was evaluated by analyzing the difference in the provision of information before and after enforcement of the regulation. Methods: Recruitment advertisements for clinical trial subjects 3 years before and after enforcement of the regulation were collated by the significance sampling approach. Print-based (newspapers, buses, and subways) and web-based (clinical trial center websites and online platforms) materials for recruitment in clinical trials of phase 1 to 4 for investigational drugs, medical devices, and oriental medicine were considered. Chi-square tests were conducted for inter-group comparisons. SPSS version 26 was employed for statistical analyses. Results: A total of 137 advertisements were collected comprising 60 pre- and 77 post-regulation enforcement. The overall rate of delivery of critical information in advertisements increased significantly from 47.5% before regulation to 93.2% after regulation enforcement. Particularly, details on expected adverse events augmented significantly (p<0.001). Benefits from participation in clinical trial reduced significantly from 88.3% to 70.1% (p<0.05). As the information provision amplified, the inclusion of professional terms increased. Conclusions: Enforcement of regulations has led to a surge in the amount of information and challenging terms contained in advertisements for recruiting subjects. Therefore, additional efforts are required by subjects to completely understand the information provided in the advertisements.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2899-2905
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• 2010

To be applicable under electronic health record system in order to ensure semantic interoperability of clinical information, the development principle for clinical information model to reflect objective and function is required. The aim of this study is to develop the development principles for clinical information model and evaluate the Clinical Contents Model. In order to develop the principle, from November 2008 to March 2009, the surveys about 1) definition, 2) function and 3) quality criteria were done, and 4) the components of advanced model were analyzed. The study was processed in 3 levels. Firstly in the development level, key words and key words-paragraph were driven from the references, and the principles were drawn based on the clinical or functional importance and frequency. In the application level, the 3 experts of clinical information model assessed 30 Clinical Contents Models by applying it. In the feedback level, the Clinical Contents Model in which errors were found was modified. As the results, 18 development principles were derived with 3 categories which were structure, process and contents. The Clinical Contents Models were assessed with the principles, and the 17 models were found that they did not follow it. During the feedback process, the necessity of the advanced education of the principle and the establishment of the regular quality improvement strategy to use it is raised. The proposed development principle supports the consistent model-development between clinical information model developers, and could be used as evaluation criteria.

• Journal of Information Processing Systems
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• v.8 no.1
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• pp.67-84
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• 2012

An important amount of clinical data concerning the medical history of a patient is in the form of clinical reports that are written by doctors. They describe patients, their pathologies, their personal and medical histories, findings made during interviews or during procedures, and so forth. They represent a source of precious information that can be used in several applications such as research information to diagnose new patients, epidemiological studies, decision support, statistical analysis, and data mining. But this information is difficult to access, as it is often in unstructured text form. To make access to patient data easy, our research aims to develop a system for extracting information from unstructured text. In a previous work, a rule-based approach is applied to a clinical reports corpus of infectious diseases to extract structured data in the form of named entities and properties. In this paper, we propose the use of a Boolean inference engine, which is based on a cellular automaton, to do extraction. Our motivation to adopt this Boolean modeling approach is twofold: first optimize storage, and second reduce the response time of the entities extraction.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.379-385
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• 2008

For the sharing and exchange of information between medical clinics, the clinical document has to be built on a standardized protocol such as a HL7-CDA. But it is difficult to exchange information between medical clinics because clinical document such as electronic medical record that include text and image, have different structure of document and type of expression. In this paper, we propose the electronic medical record system based on HL7-CDA that can share and exchange clinical information between medical institute. For this purpose, we have to design the schema of the clinical document architecture after we select the essential items of medical record and define templates. The proposed system can minimize integrating process and save parsing time when clinical information exchange and refer, by converting electronic medical record to base64 encoding scheme and integrate it in a XML document.

• IE interfaces
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• v.20 no.4
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• pp.488-497
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• 2007

In order to provide appropriate decision supports in medical domain, it is required that clinical knowledge should be implemented in a computable form and integrated with hospital information systems. Healthcare organizations are increasingly adopting tools that provide decision support functions to improve patient outcomes and reduce medical errors. This paper proposes a process centric clinical decision support system based on medical knowledge. The proposed system consists of three major parts - CPG (Clinical Practice Guideline) repository, service pool, and decision support module. The decision support module interprets knowledge base generated by the CPG and service part and then generates a personalized and patient centered clinical process satisfying specific requirements of an individual patient during the entire treatment in hospitals. The proposed system helps health professionals to select appropriate clinical procedures according to the circumstances of each patient resulting in improving the quality of care and reducing medical errors.

• Korean Journal of Clinical Pharmacy
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• v.26 no.1
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• pp.33-39
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• 2016

Background: Elements of informed consent including capacity, disclosure, understanding, voluntariness, and permission of the participant, are all crucial for clinical trials to be legally and ethically valid. During the informed consent process, the patient information leaflet is an important information source which prospective research subjects can utilize in their decision-making. In the adequate provision of information, KGCP guideline necessitate 20 specific items, as well as the use language that individuals can understand. This study measures the vocabulary level of patient information leaflets in an effort to provide an objective evaluation on the readability of such material. Methods: The word difficulty of 13 leaflets was quantitatively evaluated using Kim kwang Hae's vocabulary grading framework, which was compared to the difficulty level of words found in the $6^{th}$ grade Korean textbook. The quantitative outcomes were statistically analyzed using chi-squared tests and linear by linear association for ordinal data. Results: There was a statistically significant difference between the vocabulary level and frequency of words in leaflets and the 6th Korean textbook. The leaflets were on average 260 sentences and about roughly 15 pages long, including lay language (easier or equal to language used in primary school) of around 12% less; technical language of around 4.5% more. As the vocabulary grades increase, there was a distinct difference in vocabulary level between Korean textbook and each information leaflet (p < 0.001). Conclusion: Patient information leaflets may fail to provide appropriate information for self-determination by clinical trial subject through the difficulty level of its wording. Improvements in the degree of patients' understanding and appropriate use of information leaflets are collaboratively equipped to strengthen patient's autonomy and therefore guaranteeing participant's rights.

• Genomics & Informatics
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• v.16 no.4
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• pp.31.1-31.7
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• 2018

The prevalence of metabolic syndrome (MS) in the nonobese population is not low. However, the identification and risk mitigation of MS are not easy in this population. We aimed to develop an MS prediction model using genetic and clinical factors of nonobese Koreans through machine learning methods. A prediction model for MS was designed for a nonobese population using clinical and genetic polymorphism information with five machine learning algorithms, including naïve Bayes classification (NB). The analysis was performed in two stages (training and test sets). Model A was designed with only clinical information (age, sex, body mass index, smoking status, alcohol consumption status, and exercise status), and for model B, genetic information (for 10 polymorphisms) was added to model A. Of the 7,502 nonobese participants, 647 (8.6%) had MS. In the test set analysis, for the maximum sensitivity criterion, NB showed the highest sensitivity: 0.38 for model A and 0.42 for model B. The specificity of NB was 0.79 for model A and 0.80 for model B. In a comparison of the performances of models A and B by NB, model B (area under the receiver operating characteristic curve [AUC] = 0.69, clinical and genetic information input) showed better performance than model A (AUC = 0.65, clinical information only input). We designed a prediction model for MS in a nonobese population using clinical and genetic information. With this model, we might convince nonobese MS individuals to undergo health checks and adopt behaviors associated with a preventive lifestyle.

• The Journal of Internal Korean Medicine
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• v.39 no.4
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• pp.612-623
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• 2018

Objective: The aim of this research was to investigate the current status and limitations of the clinical use of a pulse tonometry device (PTD). Methods: We searched online medical databases, including Oriental Medicine Advanced Searching Integrated System (OASIS), Research Information Sharing Service (RISS), DataBase Periodical Information Academic (DBpia) and PubMed, for clinical studies of metabolic diseases that used PTD. We selected articles on the clinical application of the PTD but excluded duplicate articles, clinical studies without the PTD, and non-clinical studies. In the first screening, 551 articles were selected. Ultimately, we found 10 articles and classified the articles according to the following diseases: hyperlipidemia, diabetes, overweight and obesity, hypertension, and metabolic disease. Results: Of the 10 selected articles, 4 were focused on hypertension. Two articles were focused on overweight or obesity and two articles were focused on the metabolic disease. Conclusions: This study was the first attempt to conduct a systematic review on clinical studies of metabolic disease using the PTD as a primary outcome. We suggest that the standard of pulse wave parameters and operating procedures for the PTD should be further developed. The results of this study are expected to be used as basic information for the planning and progression of clinical studies of metabolic syndrome using PTD.