The role of clinical nutrition services is emphasized in the care of chronic diseases; the prevalence of chronic diseases continues to increase due to the living environment change, westernized dietary life and the aging population in Korea. The effectiveness of clinical nutrition services in the treatment of diseases in inpatients has been demonstrated in several studies. However, in recent days, innovative changes are pursued in clinical nutrition services through a convergence with information and communication technology (ICT), a core technology of the fourth industrial revolution such as big data, deep learning, and artificial intelligence (AI). The health care environment is changing from a medical treatment-oriented service to a preventive and personalized paradigm. Furthermore, we live in an era of personalization where we can personalize dietary aspects including food choice, cooking recipes, and nutrition in daily life. In addition, ICT technology can build a personalized nutrition platform in consideration of individual patient's diseases, genetic trait, and environment, all of which can be technical means in personalized nutrition management services. Personalized nutrition based on ICT technology is able to provide more standardized and high-quality clinical nutrition services to the patients. The purpose of this review is to examine the core technologies of the fourth industrial revolution affecting clinical nutrition services, and ultimately discuss how clinical nutrition professional should respond to ICT technology-related fields in the era of the new technological innovations.
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This study aimed to compare the effects of activity-based personalized nutrition education (APNE) with a general instruction for diabetes (control, CTRL) in middle-aged and older Korean outpatients with type 2 diabetes. After an initial screening, 70 subjects were randomly assigned to APNE (n = 37) or CTRL (n = 33) group. APNE considered each patient’s anthropometry, blood chemistry data, and dietary habits in addition to planning meal choices with the aid of registered dietitians. After 3 months, dietary behavior, food intake, and anthropometric and blood measurement results were evaluated. Fasting blood glucose, 2-hour postprandial blood glucose, and glycated hemoglobin levels decreased in the APNE group (n = 33) but not in the CTRL group (n = 23). In the APNE group, the meal intervals and number of days of consuming high-fat food were decreased, while the number of days following a meal plan and balanced diet that entailed consuming fruits, vegetables, and healthy food was increased. A lower consumption of carbohydrates, saccharides, grains, and tuber crops and a higher protein, pulses, and fat-derived calorie intake compared with the initial values were observed in the APNE group. In contrast, only the number of days following the meal plan and balanced diet was increased in the CRTL group, without significantly changing the individual macronutrient-derived calorie intake. The APNE approach appeared to effectively educate outpatients with type 2 diabetes about changing their dietary behavior and food intake and improving the clinical parameters related to diabetic conditions.
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