• Journal of Genetic Medicine
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• v.5 no.2
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• pp.89-93
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• 2008

"Personalized medicine," the goal of which is to provide better clinical care by applying patient's own genomic information to their health care is a global challenge for the $21^{st}$ century "genomic era." This is especially true in Korea, where provisions for clinical genetic services are inadequate for the existing demand, let alone future demands. Genomics-based knowledge and tools make it possible to approach each patient as a unique biological individual, which has led to a paradigm-shift in medical practice, giving it more of a predictive focus as compared with current treatment oriented approach. With recent advancements in genomics, many genetic tests, such as susceptibility genetic tests, have been developed for both rare single gene diseases and more common multifactorial diseases. Indeed, genetic tests for presymtomatic individuals and genetic tests for drug response have become widely available, and personalized medicine will face the challenge of assisting patients who use such tests to make appropriate and wise use of genetic risk assessment. A major challenge of genomic medicine lies in understanding and communicating disease risk in order to facilitate and support patients and their families in making informed decisions. Establishment of a health care system with provisions for genetic counseling as an integral part of health care service, in addition to genomic literacy of health care providers, is vital to meet this growing challenge. Realization of the promise of personalized medicine in the era of genomics for improvement of health care is dependent on further development of next generation sequencing technology and affordable sequencing test costs. Also necessary will be policy development concerning the ethical, legal and social issues of genomic medicine and an educated and ready medical community with clinical practice guidelines for genetic counseling and genetic testing.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.545-552
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• 2016

Background: The purpose of this study was to explore the effectiveness of a spiritual care training package in maternal caregivers of children with cancer. Materials and Methods: This study was a quasi-experimental study with pretest and posttest design consisting of a sample of 42 mothers of children diagnosed as having cancer. Participants were randomly assigned to either an experimental or a control group. The training package consisted of seven group training sessions offered in a children's hospital in Tehran. All mothers completed the Spirituality & Spiritual Care Rating Scale (SSCRS) and the Depression, Anxiety and Stress Scale (DASS-21) at pre and post test and after a three month follow up. Results: There was significant difference between anxiety and spiritual, religious, Personalized care and total scores spiritual care between the intervention and control groups at follow-up (P<0.001).There was no statistically significant difference in stress and depression scores between the intervention and the control groups at follow-up. Conclusions: Findings show that spiritual care training program promotes spirituality, personalized care, religiosity and spiritual care as well as decreasing anxiety in mothers of children with cancer and decreases anxiety. It may be concluded that spiritual care training could be used effectively in reducing distressful spiritual challenges in mothers of children with cancer.

• Journal of Society of Preventive Korean Medicine
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• v.17 no.2
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• pp.69-78
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• 2013

Objectives : Health cooperative movement is of increasing concern among medical consumers and professionals in Korea. Most health cooperative clinics provide Western Medicine and Korean Medicine(KM) to patients. This study aimed to evaluate the primary care level of health cooperative KM clinics and compare it with local KM clinics in Korea. Methods : Face to face survey was performed at the 3 health cooperative KM clinics and 5 local KM clinics with the Korean Primary Care Assessment Tool (KPCAT). The KPCAT consists of 5 domains (21 items): first contact (5), coordination function (3), comprehensiveness (4), family/community orientation (4), and personalized care (5). Subjects were patients or guardians who had visited KM clinics five times or more during the last 3 months. We compared primary care scores of each domain between health cooperative KM clinics and local KM clinics. Results : Data were collected from 200 respondents (100 patients from health cooperative KM clinics and 100 local KM clinics). Total average scores of the KPCAT for health cooperative clinics and local KM clinics were $81.1{\pm}12.0$ and $75.4{\pm}9.5$, respectively. Among primary care domains, personalized care was the highest ($89.2{\pm}12.0$, $89.6{\pm}8.4$, respectively), and comprehensiveness function was the lowest ($68.5{\pm}22.5$, $54.5{\pm}22.0$, respectively). Significant differences between two groups were noted in comprehensiveness function (68.5 vs. 54.5, P=0.000), family-community orientation (79.5 vs. 73.0, P=0.004), first contact(89.2 vs 84.0, p=0.001) and coordination function(74.0 vs 68.7, p=0.025). Conclusions : Based on the patients assessment, health cooperative KM clinics provide more primary care-oriented services than local KM clinics. This means that health cooperative clinic can be one of alternatives to strengthen the primary health care in Korea. Future researches are recommended to measure patients satisfaction and treatment effectiveness in the health cooperative clinics.

• Journal of Korean Academy of Nursing
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• v.52 no.5
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• pp.535-549
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• 2022

Purpose: The study aimed to design and develop an automated personalized self-care (APSC) program for patients with type 2 diabetes mellitus. The secondary aim was to present a clinical protocol as a mixed-method research to test the program effects. Methods: The APSC program was developed in the order of analysis, design, implementation, and evaluation according to the software development life cycle, and was guided by the self-regulatory theory. The content validity, heuristics, and usability of the program were verified by experts and patients with type 2 diabetes mellitus. Results: The APSC program was developed based on goal setting, education, monitoring, and feedback components corresponding to the phases of forethought, performance/volitional control, and self-reflection of self-regulatory theory. Using the mobile application, the participants are able to learn from educational materials, monitor their health behaviors, receive weekly-automated personalized goals and feedback messages, and use an automated conversation system to solve the problems related to self-care. The ongoing two-year study utilizes a mixed method design, with 180 patients having type 2 diabetes mellitus randomized to receive either the intervention or usual care. The participants will be reviewed for self-care self-efficacy, health behaviors, and health outcomes at 6, 12, 18, and 24 months. Participants in the intervention group will be interviewed about their experiences. Conclusion: The APSC program can serve as an effective tool for facilitating diabetes health behaviors by improving patients' self-care self-efficacy and self-regulation for self-care. However, the clinical effectiveness of this program requires further investigation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1740-1748
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• 2014

In this paper, we propose an RBAC based personalized health care service platform in order to provide smart management of personal health record using smart devices. It helps to guide healthful service and provide useful information according to one's individual health record. Personalized health care services platform supports a healthy lifestyle by measuring personal health information in a hospital clinical, imaging, and drug data, as well as that can be obtained from smart devices. Everyone can enter his health related data in everyday life such as food, sleeping time, mood, movement and exercise so that one can manage his personal health information of modern smart features. In addition, if necessary, personal health information can be provided to the hospital information system and staff with the consent of the individual. It can be contributed to simplify the complex process for remote medical. The proposed platform, which applies role based access control model to protect security and privacy, supports a smart health care services for users by providing personalized health care services through the smart applications.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.511-513
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• 2022

Digital Health Care is the convergence of ICT and (non)medical technology, emphasizing the importance of prevent and monitoring health management in terms of new challenging medical paradigm: predictive, preventive, personalized and participatory. Beyond the limited medical industry of long-term care insurance, it is emerging that AI, IoT, Big Data related new services with new technologies in the 4^th revolution era. It is also noted that business field based on test bed is emergent; Caring Robot, wearable devices need to be launched in the market. Diverse service is possible with Big Data and AI etc.

• Fashion & Textile Research Journal
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• v.26 no.3
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• pp.273-278
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• 2024

Consumer preferences for food are influenced by personal values and personalities. Social, economic, and cultural developments in modern society have influenced consumer lifestyles and brought about multiple changes in consumption patterns. In the beauty market, consumers are now more interested in specialized offerings, and an increasing number of people are opting for customized products in a market structure where mass production has led to mass consumption. Hair products are now manufactured as functional cosmetics designed to maintain and improve scalp health and hair growth by removing waste from the scalp and adding fragrance for cleanliness, breaking away from the concept of general cosmetics. Many studies have focused on personalized products in the cosmetics industry. This study aimed to accurately determine scalp types and further diagnose individual scalp conditions using a scalp diagnostic device. Based on the diagnoses, it recommended and provided personalized shampoos in order to understand how these shampoos improved scalp health. By objectively analyzing and comparing scalp conditions before and after using customized shampoos, the study demonstrated a significant effect on scalp health. The results of this study confirmed the perception and effectiveness of personalized shampoos.

• Journal of Information Technology Services
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• v.21 no.6
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• pp.21-37
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• 2022

Due to the development of technology and medical care following the 4th industrial revolution, the medical paradigm is shifting towards patient-centered medical services. Based on the development of smart home technology, the residential environment is changing into a residential space that cares for and heals the lifestyles and the healthcare of families. As lifestyle changes, the concept of supporting smart home care based on the residential environment is making it possible to build a smart home IoT service design with enhanced accessibility and convenience for medical appointments and well-being lifestyle care. This paper is a study on user-centered health care smart home IoT service design suitable for family members based on the health care, beauty care, exercise care, and customized diet care beyond the conventional concept of health care monitoring. Based on the analysis, this paper proposes a personal care coordinate smart home service design in a human-centered wellness clinic care smart home service design environment. Human-centered wellness clinic smart home IoT service design is meaningful in presenting a vision for research on smart home service design that links hospital-linked and care-linked service industries, which should be considered from the smart home construction planning stage.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.2
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• pp.179-186
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• 2014

Metabolomics is the study of changes in the metabolic status of an organism as a consequence of drug treatment, environmental influences, nutrition, lifestyle, genetic variations, toxic exposure, disease, stress, etc, through global or comprehensive identification and quantification of every single metabolite in a biological system. Since most chronic diseases have been demonstrated to be linked to nutrition, nutritional metabolomics has great potential for improving our understanding of the relationship between disease and nutritional status, nutrient, or diet intake by exploring the metabolic effects of a specific food challenge in a more global manner, and improving individual health. In particular, metabolite profiling of biofluids, such as blood, urine, or feces, together with multivariate statistical analysis provides an effective strategy for monitoring human metabolic responses to dietary interventions and lifestyle habits. Therefore, studies of nutritional metabolomics have recently been performed to investigate nutrition-related metabolic pathways and biomarkers, along with their interactions with several diseases, based on animal-, individual-, and population-based criteria with the goal of achieving personalized health care in the future. This article introduces analytical technologies and their application to determination of nutritional phenotypes and nutrition-related diseases in nutritional metabolomics.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.316-318
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• 2019

Recently, healthy life has become an issue in an aging society, and the number of people who have been interested in continuous health care for better life is increasing. In this paper, we implemented a personalized recommendation systm to provide convenient healthcare management for user. The PHR (Personal Health Record) of user could be stored in the server along with health related information such as lifestyle, disease, and physical condition. The users could be classified into similar clusters according to the PHR profile in order to provide healthcare contents to the users who had similar PHR profile. K-Means clustering was applied to generate clusters based on PHR profile and ACDT(Ant Colony Decision Tree) algorithm was used to provide personalised recommendation of health information stored in knowledge base. The app system developed in this paper is useful for users to perform healthcare themselves by providing information on serious diseases and lifestyle habits to be improved according to the clusters classified by PHR profile.