• Health Policy and Management
• /
• v.30 no.3
• /
• pp.277-285
• /
• 2020

Chronic diseases as well as a growing population of older adults are currently the leading cause of ill health and economic burden worldwide. Managing those diseases in one-on-one medical consultations poses substantial challenges due to limited time and resources in the current health care system. Various approaches have been taken to manage these conditions, most with limited success. Shared medical appointments (SMAs) are an innovative care delivery option to make the testing of alternative care modalities a prime concern. SMAs are individual medical consultations carried out in a group of patients with similar diseases by providing education, medication management, and disease monitoring. SMAs, since their initial conceptualization in 1998, have gained much popularity and adopted as one of the standard processes in many countries. Accumulated evidence-based studies show outcomes for increasing access to care, behavioral change facilitated through self-management education, maintained/better outcomes, physician productivity, and enhanced resource management. This review summarizes current evidence regarding the existing status of SMAs abroad. An extensive literature search was conducted on major electronic databases including PubMed and Google Scholar. This study suggests to explore and exploit the SMAs which have unique potential as a healthcare delivery innovation in Korea.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.10 no.5
• /
• pp.31-37
• /
• 2010

This study was developed the home network system for the home stay care by bio-sensor system to translate the physical signal algorithm. The composition algorithm has five functions for a input function, frequency variable, displacement point input function, axial Variable, axial Sway Displacement to search a max and min point with adjustment of 0.01 unit in the reference level. There were checked physical condition of body balance to compounded a measurement such as a heart rate, temperature, weight. The algorithm of home network system can be used to support health care management system through health assistants in health care center and central health care system. It was expected to monitor a physical parameter for health management system.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.7
• /
• pp.1533-1540
• /
• 2012

u-Life care device collect body bio formation, and classify and store them in exercise patterns. Afterwards, the devices send the data through bluetooth wireless communication to the smart phones which set Google Android operation system at regular intervals. The information is checked out through application. u-Life care device calculates calories spent a day after monitoring activity quantity with 3-axis acceleration sensor. The device judges the status of health through body data mining and consults tailored exercise treatment. When sending body data, the device sends them in smart phone through Blue Tooth wireless communication at once. So, as a strong point, the device doesn't need mobile gateway or home gateway used for sending to web server information sensed from exercise life care products.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.7 no.6
• /
• pp.1555-1560
• /
• 2012

Recently, it has been increasing attention on health care that can provide remote medical service to an aging population, people with disabilities and people having a medical checkup periodically due to increasing people's average life span. Home health care system should provide reasonable cost, on-line basic health status monitoring, embedded basic medical helper function and intuitive interface. In this paper, we developed a prototype of 3G networked pulse measurement system that can detect pulse signal information from subject's fingertip using the optical sensor. The prototype had been analyzed in terms of abnormalities, feeling, timing and pulse counting accuracy. Finally we evaluated its suitability.

• Journal of the Institute of Convergence Signal Processing
• /
• v.19 no.1
• /
• pp.14-19
• /
• 2018

Recently, the smart health care industry has been rising rapidly and interest and efforts for public health have been greatly increased. As a result, the public does not visit medical specialists and medical facilities, but the desire to check their health condition in everyday life is increased. Therefore, many domestic and foreign companies continuously research and develop wearable devices that can measure body activity information anytime and anywhere And the market. Especially, it is used for heart activity measurement device using pulse wave sensor and electrocardiogram sensor. However, in this study, a monitoring system that can detect cardiac activity using cardiac sounds, heart sound measurement rather than pulse wave measurement and electrocardiogram measurement, was performed and its performance was evaluated. Experimental results confirmed the predictability of cardiac heart rate and heart valve disease during daily living.

• Korean Journal of Adult Nursing
• /
• v.12 no.4
• /
• pp.606-618
• /
• 2000

The purpose of the study was to investigate the characteristics of the clients registered in the department of home health care nursing in a hospital and to analyze nursing intervention activities recorded in charts by application of Nursing Intervention Classification (NIC) system. For the descriptive survey study, data were collected by reviewing charts of 572 home health care clients between May, 1997 and July, 2000 at K hospital in Seoul. The average age of the clients was 66 years and the number of clients in their 70s ranked first with 28.2 percent(158 people). The mean length of home care service was 47 days with the highest frequency of less than four weeks (56 %). With regard to medical diagnosis, cancer showed the highest frequency (48%, 271 people), followed by cerebrovascular disease (19%), and pulmonary disease (6.9%). According to analysis of nursing interventions by the NIC system, the most frequently used nursing interventions in level 1 were interventions in the Physiological: Complex domain which were used 3,663 times (33%) among 11,107 total interventions. The Safety domain was the second most frequently used intervention, followed by the Physiological: Basic, and the Behavioral domains. In level 2, the Risk Management class was the most frequently used interventions with 3,108 interventions (27.9%), followed by Drug Management, and Tissue Perfusion Management classes. In level 3 interventions, Vital Sign Monitoring was the most frequently used intervention, 569 times (5.1%), followed by Health Screening, and Neurological Monitoring interventions. In sum, half of the clients in the study had cancer and were in their 70s. The most frequent reason for ending home care was death (40%), followed by readmission (28%). These findings represent clients with severe conditions referred to the home care nursing department as it was a University teaching hospital. Further research on analyzing nursing interventions performed in each institution needs to be conducted to develop a standardized list of nursing interventions to use in home health care settings.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.5 no.3
• /
• pp.332-338
• /
• 2010

In this paper, Zigbee/PLC gateway system is designed for Ubiquitous health care. A protocol conversion algorithm for smooth information exchange between Zigbee and PLC communication has been implemented on the gatway. If a moving object is detected by wireless sensor, the data is transmitted to gateway. Zigbee/PLC gateway analyzes received data and transmits to Power Line Communication for real-time monitoring. Implemented system is can support elder who lives alone activity analysis, crime prevention system, Home network service.

• Journal of Korean Academy of Nursing
• /
• v.31 no.5
• /
• pp.897-911
• /
• 2001

The purpose of the study was to compare home care nursing intervention activities analyzed by the Nursing Intervention Classification (NIC) system for hospice and general patients. Method: For the descriptive survey study, data was collected by reviewing charts of 151 hospice patients and 421 general patients who registered in the department of home health care nursing at K Hospital. Results: According to the NIC system application, there were 2380 total nursing interventions used for the hospice patients and 8725 for the general home care patients. For both sets of patients (hospice vs. general), the most frequently used nursing intervention in level 1 was the Physiological: Complex domain (40.13 vs. 31.06 percent), followed by the Safety domain; in level 2, the Risk Management class (28.4 vs. 27.70 percent), followed by Tissue Perfusion Management; and in level 3, Vital Sign Monitoring (6.18 vs. 4.84 percent), followed by Health Screening. Conclusion: The study showed that there was a lack of specialized hospice nursing interventions such as emotional, family and spiritual support, and care for dying hospice patients.

• Journal of Platform Technology
• /
• v.10 no.1
• /
• pp.29-34
• /
• 2022

The emergence of new diseases such as the Covid 19 pandemic that occurs in the 21st century and the occurrence of health abnormalities according to the busy daily life of modern people are increasing. Accordingly, the importance of health care management and data-based health management is being highlighted, and in particular, interest in personal health management data based on personal health care data of patients is rapidly increasing. In this study, to solve the difficult problems of personal health management, we developed a personal health care platform incorporating IT for self-diagnosis and solution and developed an application that measures bio-signals generated in the human body and transmits them to the platform. A health management system was established. Through this, not only the health care of modern people, but also the psychological and emotional care support needs through psychological and emotional monitoring of the developmentally disabled and the vulnerable who have difficulty in expressing their opinions are to be addressed. In addition, the overall health and living environment data of the individual was integrated to develop an optimized medical and health management service for the individual.

• Journal of Biomedical Engineering Research
• /
• v.30 no.6
• /
• pp.503-509
• /
• 2009

The development of technology has led to ubiquitous health care service, which enables many patients to receive medical services anytime and anywhere. For the ubiquitous health care environment, real-time measurement of biomedical signals is very important, and the medical instruments must be small and portable or wearable. So, such devices have been developed to measure biomedical signals. In this study, we develop the biomedical monitoring device which is sensing the PPG signal, one of the useful signal in the field of ubiquitous healthcare. We design a watch-like biomedical signal monitoring system without a finger probe to prevent the user's inconvenience. This system obtains the PPG from the radial artery using a sensor in the wrist band. But, new device developed in this paper is easy to get the motion artifacts. So, we proposed new algorithm removing the motion artifacts from the PPG signal. The method detects motion artifacts by changing the degree of brightness of the light source. If the brightness of the light source is reduced, the PPG pulses will disappear. When the PPG pulses have disappeared completely, the remaining signal is not the signal that results from the changing blood flow. We believe that this signal is the motion artifact and call it the noise reference signal. The motion artifacts are removed by subtracting the noise reference signal from the input signal. We apply this algorithm to the system, so we can stabilize the biomedical monitoring system we designed.