The role of artificial medical intelligence through medical big data has been focused on data-based medical device business and medical service technology development in the field of diagnostic examination of the patient's current condition, clinical decision support, and patient monitoring and management. Recently, with the 4th Industrial Revolution, the medical field changed the medical treatment paradigm from the method of treatment based on the knowledge and experience of doctors in the past to the form of receiving the help of high-precision medical intelligence based on medical data. In addition, due to the spread of non-face-to-face treatment due to the COVID-19 pandemic, it is expected that the era of telemedicine, in which patients will be treated by doctors at home rather than hospitals, will soon come. It can be said that artificial medical intelligence plays a big role at the center of this paradigm shift in prevention-centered treatment rather than treatment. Based on big data, this paper analyzes the current status of artificial intelligence technology for chronic disease patients, market trends, and domestic and foreign company trends to predict the expected effect and future development direction of artificial intelligence technology for chronic disease patients. In addition, it is intended to present the necessity of developing digital therapeutics that can provide various medical services to chronically ill patients and serve as medical support to clinicians.
Purpose: This study aims to compare the general characteristics, life-style, health examination results, and sick leave days by airmen medical examination decision and to investigate factors affecting sick leave days. Methods: We obtained data from 2,361 Korean pilots who worked for a commercial airline. Comparison of the results by airmen medical examination decision (Fit or waver) was conducted using the 𝝌2 test or Fisher's exact test. Factors affecting sick leave days were analyzed using logistic regression. Results: Age, smoking history, blood pressure, obesity, and fasting blood sugar level were significantly different between the Fit and Waver groups. Rate of using sick leave long-term was higher in the Waver than in the Fit. Sick leave days were significantly associated with age, habits of drinking, and smoking in the Fit group. Conclusion: This study demonstrated the health risk factors that affect the number of sick leave days. By providing basic data for the health care of workers, it is expected to be applicable to the provision of health promotion and disease prevention programs for workers.
It is to improve customer satisfaction measurement and CT Scan process without delay of examination time when is using Scan positioning time(Planning time) that time is happened always between research reactor CT examination to increase fear and examination satisfaction by the customer's comprehension tribe which get the latest contrast enhancement CT examination. Needs and interests that customer wants to compose visual and auditory Contents to be played to Scan positioning time did questionnaire about curiosity later before CT examination to 600 people for October - November 2 months of 2006 to customer whole that get CT examination on source. Data getting through questionnaire investigated examination comprehension and satisfaction through questionnaire after experiment Scan Positioning to 500 coming to help customers to be source CT examination for 3 months February December - 2007 year in 2006 manufacturing Voice and Visual announce media for reference. To customer who interest degree appeared, and answers preparatory audit from preparatory audit about curiosity of CT examination customer to order of examination time required(43%), contrast media side effect(26%), examination region(20%), breath(10%), etc..(1.5%) audio-visual materials in questionnaire that attain after do reclamation among examination age, sex, reception type of irrelatively in 91% of target increase of hailing degree and examination satisfaction appear. Searched that customer hailing and satisfaction are increased greatly when use of audio-visual materials in satisfaction result that use CT Positioning delay time. In experiment process, It took lacking part by method that use hearing in case of do not use sight as is unavoidable in subject position or old age. Through this, audio-visual materials could analogize that it is more useful method that use sight and hearing at the same time.
This research is undertaken for the purpose of providing basic data to improve the occupational health service for future. 415 workers of 46 firms in Seoul are included in this data points. Results from this analyzing are the following. 1) The level of knowledge, attitude and practice of workers on the occupational health is moderate. 2) The cognition of necessity about special health examination gains the highest point(3.94), but the understanding of the occupational health educational program gains the lowest point (.85) in the knowledge region. 3) In the attitude region, the highest point is marked by the workers' prudence of expending time on medical examination(3.45). The lowest one by the workers' feeling of satisfaction of the follow-up service after medical examination(1.79). 4) The workers' participation in medical examination is the most active(3.15), and that in occupational health education in the least active(.86) in the practical region.
Objectives: The aim of this study is to investigate the relationship between diabetes mellitus and oral disease in the Korea adults by using the representative data of Korea National Health and Nutrition Examination Survey (KNHANES) V. Methods: Using data from a cross-sectional survey of Korea National Health and Nutrition Examination Survey V. The subjects were 5,602 adults over 19 years old. The survey data and the examination data are used for the independent variables. KNHANES included health status, nutrition survey, and oral examination. The health status was obtained by a self-reported questionnaire of the study subjects and direct interview was carried out on economic status, prevalence rate, and use of medical services. Results: The regular dental checkup of diabetes patients was significantly lower than the general population. Regular dental visits allow adults to receive early diagnosis and obtain restorative care at the first visit. The regular annual oral examination is very important to prevent and manage the chronic diseases including diabetes mellitus. Conclusions: Diabetes mellitus can be fully prevented and managed by the regular annual dental checkup. The establishment of the regular dental checkup system can prevent and manage the complication due to diabetes mellitus and other chronic diseases.
Purpose: In this study, the general characteristics of subjects who spent more than a certain amount of cost for general medical examination at the general hospital health promotion center, and the characteristics of disease, family history, and lifestyle (smoking, alcohol, physical activity, oral care) significantly differed in cost expenditure. We intend to provide basic data for establishing an appropriate marketing strategy for comprehensive examination. Method: It was conducted for users who received comprehensive checkups at a health promotion center at a general hospital in Seoul. The research data collection period is for 979 people who performed comprehensive examinations from January 2019 to December 2020. In order to carry out a comprehensive examination, a questionnaire before the examination was distributed to the subjects who visited the hospital to prepare, and the investigation was conducted in a way that the subjects of the investigation directly filled in. Results: There was a significant influence on the difference in expenditure for comprehensive examination according to the gender, age, and type of health insurance of the subject. In addition, there were significant differences in expenditure according to the presence or absence of disease and the type of family history. Weight loss, smoking history, smoking period, smoking frequency, drinking history, and drinking frequency all had significant effects on cost expenditure. Also, strength training and oral treatment management showed a significant effect on the cost of comprehensive examination. The number of flossing and interdental brushing was also found to have a significant effect. According to the results of multiple regression analysis, disease history (t=2.683, p<.01) and mean smoking frequency (t=4.315, p<.001) appeared to have the most significant effect on expenditure statistically. In other words, when the subject has a history of disease and when the average number of smoking is large, it means that the comprehensive examination cost is remarkably large. Conclusion: By using these contents, hospitals can further refine the marketing of the examination center. In addition, a more convenient and specialized process should be used by patients by linking the general medical department and the examination center well. In terms of management of operating medical institutions, this can be expected to create patients and increase profits.
Objective: To explore the clinical manifestations and imaging characteristics of gliomatosis cerebri to raise the awareness and improve its diagnostic accuracy for patients. Materials and Methods: Clinical data, imaging characteristics and pathological examination of 12 patients with GC from Jan., 2008 to Jan., 2012 were analyzed retrospectively. Results: Patients with GC were clinically manifested with headache, vomiting, repeated seizures, fatigue and unstable walking, most of whom had more than 2 lesions involving in parietal lobe, followed by temporal lobe, frontal lobe, periventricular white matter and corpus callosum. Magnetic resonance imaging (MRI) showed diffuse distribution, T1-weighted images (T1WI) with equal and low signals and T2-weighted images (T2WI) with bilateral symmetrical high diffuse signals. There was no reinforcement by enhancement scanning and signals were different in diffusion-weighted images (DWI). The higher the tumor staging, the stronger the signals. Pathological examination showed neuroastrocytoma in which tumor tissues were manifested by infiltrative growth in blood vessels and around neurons. Conclusions: In clinical diagnosis of GC, much attention should be paid to the diffuse distribution of imaging characteristics, incomplete matching between clinical and imaging characteristics and confirmation by combining with histopathological examination.
This study was intended to analyze the clinical characteristic of the patient with hypoglycemia and the status of prehospital treatments by 119 emergency medical technicians well as the cause of inappropriate emergency treatment by 119 emergency medical technicians in a bid to seek the measures for improvement, thereby enhancing the emergency medical services before medical treatment at hospital. Examination of the daily work log on 430 patients suffering with hypoglycemia who were sent to the university hospital in Gyunggi-Province by 119 emergency medical technicians, beginning on Jan 1, 2004 till Dec 31. 2008 was carried out and the survey of 206 119 emergency medical technicians working at the region of Gyunggid-Province was conducted from Sep 19 through Oct 6, 2009. Evaluation of the frequency and percentage and ANOVA analysis using SPSS WIN 14.0 program was carried out. In view of the examination of daily emergency work log and questionnaire, prehospital treatment for the patients with hypoglycemia needs to be further improved in general, and to provide the emergency treatment in accurate and timely manner, improvement of the system such as assignment of licensed rescue members and development of protocol that will replace the medical consultant system, mandatory emergency treatment, constant and efficient training and maintenance of emergency rescue records shall be implemented, and furthermore, social recognition to 119 emergency medical technicians shall be improved to encourage them to perform more positive way and manner.
Background: This study was conducted to investigate factors related to unmet medical needs of medical care in adult diabetes patients and to suggest factors related to unmet medical in Korea. Methods: This study used data from the Korea National Health and Nutrition Examination Survey (KNHNES) 2014-2017. The subjects of the study were conducted on patients with unmet medical needs experience among the patients and analyzed using the IBM SPSS ver. 25.0 program (IBM Corp., Armonk, NY, USA). Results: Overall, 10.9% of patients had unmet medical needs. Being female, less educated, and lower medical aid were related to unmet medical needs. And subjects with poor subjective health and higher stress level were more likely to report unmet medical needs. Conclusion: Although comprehensive health insurance coverage, 10.9% of people with diabetes experienced unmet healthcare needs. The results of this study suggest that socioeconomic factors such as low education and medical aid were associated with unmet medical needs.
Objective: The purpose of this study is to use logistic regression and decision tree analysis to identify the factors that affect the success or failurein the national physical therapy examination; and to build and compare predictive models. Design: Secondary data analysis study Methods: We analyzed 76,727 subjects from the physical therapy national examination data provided by the Korea Health Personnel Licensing Examination Institute. The target variable was pass or fail, and the input variables were gender, age, graduation status, and examination area. Frequency analysis, chi-square test, binary logistic regression, and decision tree analysis were performed on the data. Results: In the logistic regression analysis, subjects in their 20s (Odds ratio, OR=1, reference), expected to graduate (OR=13.616, p<0.001) and from the examination area of Jeju-do (OR=3.135, p<0.001), had a high probability of passing. In the decision tree, the predictive factors for passing result had the greatest influence in the order of graduation status (x2=12366.843, p<0.001) and examination area (x2=312.446, p<0.001). Logistic regression analysis showed a specificity of 39.6% and sensitivity of 95.5%; while decision tree analysis showed a specificity of 45.8% and sensitivity of 94.7%. In classification accuracy, logistic regression and decision tree analysis showed 87.6% and 88.0% prediction, respectively. Conclusions: Both logistic regression and decision tree analysis were adequate to explain the predictive model. Additionally, whether actual test takers passed the national physical therapy examination could be determined, by applying the constructed prediction model and prediction rate.
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