• Journal of Digital Convergence
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• v.11 no.3
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• pp.305-310
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• 2013

To provide medical services to patients who have a terminal illness, recent hospital patients to monitor the state of the device attached to the body, the body insertion device is. U-Healthcare Environment and hospital officials indiscriminately exploited by the patient's vital information, however, could threaten the patient's life problems are appearing. In this paper, depending on the level of authority, hospital officials, Union of ID-based authentication model is proposed to use a patient's vital information. Union proposed model identify different authentication system is used in hospitals that exist in various forms in a number of ID information, health / medical information sharing between hospitals without exposure to unnecessary personal information, you can be assured of the anonymity. In particular, with easy access to patient information, hospital officials about the malicious act to protect patient information to access level for the rights granted by third parties to prevent easy access.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.602-604
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• 2017

As human life span has increased, people have wanted to live healthier desires. Especially Korea has rapidly entered an aging society, leading to the burden of medical expenses to the increase of disease accompanying aging. To alleviate the burden of medical expenses, prediction and prevention are important rather than treatment of diseases. It is possible to predict and prevent diseases by measuring individual genetic information. In order to utilize individual's genetic information Korea's genetic information is grasped through SNP (800 thousand) and GWAS optimized for the discovery of genetic factors of phenotype and disease of Koreans, The genetic information of each individual is analyzed in the genetic (constitutional) characteristics of the individual. In this thesis we develop a classification index so that we can classify populations of specific chronic diseases (obesity, diabetes or cardiovascular system). Try to develop health care services to manage custom diet and exercise associated with chronic illness.

• Journal of Korean Library and Information Science Society
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• v.47 no.1
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• pp.149-173
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• 2016

As cloud computing becomes more and more popular and ubiquitous, many organizations are deciding to move their whole information infrastructure to the cloud. The healthcare industry is one of those that is beginning to utilize cloud-based solutions en masse. Cloud based computing and storage offers numerous benefits including scalability, cost efficiency, and accessibility, which in turn have the potential to streamline hospital operations. Despite the potential benefits of acquiring this system, considerations must still be given to the migration of the massive amounts of personal and highly protected data to a cloud-based solution. Health care organizations must consider all matters of security, reliability, and availability, to ensure that patients' data remains compliant to the Health Insurance Portability and Accountability Act (HIPAA) compliant. This paper will examine the benefits and challenges of such operation to determine the best practices for the utilization of Electronic Medical Record (EMR) cloud based networking and storage for small to mid-sized hospitals.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.835-841
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• 2018

In this study, we analyzed public health data analysis using the hadoop-based spack in the cloud environment using the data of the Community Health Survey from 2012 to 2014, and the factors affecting the quality of life and quality of life. In the proposed paper, we constructed a cloud manager for parallel processing support using Hadoop - based Spack for open medical big data analysis. And we analyzed the factors affecting the "quality of life" of the individual among open medical big data quickly without restriction of hardware. The effects of public health data on health - related quality of life were classified into personal characteristics and community characteristics. And multiple-level regression analysis (ANOVA, t-test). As a result of the experiment, the factors affecting the quality of life were 73.8 points for men and 70.0 points for women, indicating that men had higher health - related quality of life than women.

• Korean Journal of Community Nutrition
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• v.7 no.2
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• pp.266-276
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• 2002

In this study, a computerized nutritional and health guide program for workers was developed. The dietitian at the work site could utilize periodically conducted medical examination data to develop an effective health care counseling model based on the developed Nutritional and Health Guide Program. A personal computer (Pentium II PC MMX-150, 32MB RAM, 2.95 GB HDD) with Microsoft Visual Basic 6.0 Enterprise Edition and Microsoft Access 97 installed, was used. The Nutritional and Health Guide Program consisted of seven main menus and 43 sub-menus. Included in the main menu were Basic Information, Periodic Health Check-ups, Visitors' Consultations, Nutritional/Health Tips, Nutritional Education according to Diseases, Help and Exit. In the Periodic Health Check-up menu, dieticians could input the health examination data of employees and touch for the recommended treatments for diseases such as obesity, diabetes, high cholesterol, hypertension and hepatitis. The Visitors'Consultation menu has been designed to compile health information about the employees who sought consultations. The Nutritional/Health Tips menu was designed to provide 14 kinds of programmed nutritional educational media and information. In the Nutritional Education According to Diseases menu, the dietitian could judge the subject's willingness to obtain treatment based on the Stage of Change Model. According, the content of the administered respective nutritional education was classified by stages. The Help menu, provide a chart of the method and procedure used as nutritional guidelines, by which the results of the health examination were classified as people in good health and those requiring special medical attention. The results of the evaluation of this program showed highly positive rates for usefulness (4.09), convenience (4.04), lettering size (4.02), interest (3.93), design (3.49). It also showed that 97.5% of the subjects thought that this program would be helpful for implementation of their company's nutritional educational program. Therefore, this menu could help dietitians plan, conduct, and evaluate their nutritional guidelines for employees. It is expected that The Nutritional and Health Guide Program developed in this study will play a role as a scientific and effective guide in conjunction with health examination results.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.3
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• pp.147-155
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• 2014

While variety of content on the internet has increased with the development of IT and person's needs about suitable information are increasing rapidly, studies for personalized service have been actively performed. In the study, we proposed the Hypertension and Diabetes risk analysis system according to personal food intake preference using the analysis method of buying preferences in product recommendation system. For the analysis of food intake preference, the Pearson correlation coefficient is used to calculate similarity weights between each reference analysis data and sample data and then reference data should be grouping into the similarity weights and calculating risk of hypertension and diabetes each group. To evaluate the significance of this system, 1,021 subjects are applied the system. Hypertension and diabetes groups' risk is significant higher than normal group statistically so, it is confirmed that food intake preference and the diseases were relevant. In this paper, we verify the validity of hypertension and diabetes risk analysis system using a personal food intake preference.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.57-64
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• 2020

Today, with the development of information technology, hospitals are actively researching hospital information systems that are not limited by time and space to integrate mobile computing technology into the medical field to manage the bulk data of medical information. Nevertheless, most hospitals still spend a lot of time and effort creating manual schedules. In this paper, we studied an optimization model for organizing nurses' shift work and constructed an automated nurse-type job organization system. For nurses working in S hospital, information data, requirements and constraints of nurses were constructed. By applying this, we proposed an optimized scheduling method and built a web-based platform used by head nurses and a mobile app platform used by general nurses to enable real-time interchange and sharing around web servers. Therefore, through the developed nurse needs type automated system, the head nurses will increase the convenience of the nurses to organize the work every month, and general nurses will help them to work more accurately through personal schedule management. It is also expected to increase work efficiency by sharing work schedules among nurses.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

• The Korean Society of Law and Medicine
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• v.17 no.2
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• pp.315-346
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• 2016

With the development of big data processing technology, the potential value of healthcare big data has attracted much attention. In order to realize these potential values, various research using the healthcare big data are essential. However, the big data regulatory system centered on the Personal Information Protection Act does not take into account the aspect of big data as an economic material and causes many obstacles to utilize it as a research purpose. The regulatory system of healthcare information, centered on the primary purpose of patient treatment, should be improved in a way that is compatible with the development of technology and easy to use for public interest. To this end, it is necessary to examine the trends of overseas legal system reflecting the concerns about the balance of protection and utilization of personal information. Based on the implications of the overseas legal system, we can derive improvement points in the following directions from our legal system. First, a legal system that specializes in healthcare information and encompasses protection and utilization is needed. De-identification, which is an exception to the Privacy Act, should also clearly define its level. It is necessary to establish a legal basis for linking healthcare big data to create synergy effects in research. It is also necessary to examine the introduction of the opt-out system on the basis of the discussion on the foreign debate and social consensus. But most importantly, it is the people's trust in these systems.

• Korean Journal of Community Nutrition
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• v.8 no.3
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• pp.319-326
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• 2003

The purposes of this study were: a) to develop the a quality measurement tool for the contract-managed hospital foodservice, and b) to evaluate their performance with the developed quality measurement tool, and c) to verify the reliability and validity of the quality measurement tool. The developed quality measurement tool comprised two parts, which were foodservice management and medical nutrition care service. The foodservice management part was classified into six functional categories which were Menu, Procurement and Storage, Production and Distribution, Facility and Utility, Sanitation and Safety, and Management and Evaluation. The medical nutrition care service part indicated the medical nutrition care provided. Quality measurement tool had 91 standards and 324 indicators. The quality measurement tools were distributed to the hospital foodservice manager employed by the foodservice company. The 324 indicators were measured by foodservice manager on the 5-Likert-type scales, and then adapted to a 100 point scale. The SPSS Ver. 11.0 was used for statistical analysis. The categories whose scores were evaluated as being high were Procurement', General Sanitation', Personal sanitation' and Waste' and the categories whose scores were evaluated as being low were Diet Order Manual', Standard Recipe', Appropriateness (Facility and Utility)', Check (Facility and Utility)'and Information Management'. All the categories of medical nutrition service were evaluated as having seriously low scores. Therefore, it was necessary for the contract-managed hospital foodservice to improve its performance in the area of medical nutrition care service. For the verification of the developed quality measurement tool, the reliability obtained by calculating Cronbach's α was 0.8747, and the content validity was also proved by scrutiny of the modification of the Professional group's techniques. (Korean J Community Nutrition 8(3) : 319∼326, 2003)