• ETRI Journal
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• v.36 no.5
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• pp.730-740
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• 2014

The rapid increase in the number of patients with chronic diseases is an important public healthcare issue in many countries, which accelerates many studies on a healthcare system that can, whenever and wherever, extract and process patient data. A patient with a chronic disease conducts self-management in an out-of-hospital environment, particularly in an at-home environment, so it is important to provide integrated and personalized healthcare services for effective care. To help provide effective care for chronic disease patients, we propose a service flow and a new cloud-based personalized healthcare system architecture supporting both at-home and at-hospital environments. The system considers the different characteristics of at-hospital and at-home environments, and it provides various chronic disease care services. A prototype implementation and a predicted cost model are provided to show the effectiveness of the system. The proposed personalized healthcare system can support cost-effective disease care in an at-hospital environment and personalized self-management of chronic disease in an at-home environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.21-29
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• 2007

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic, Research Institution and Medical Institution. And we also applied AHP methodology for the priority decision making. The research group decides an evaluation criteria which are consisted of marketability, technology, ripple effect, strategy for national policies in order to make a priority for healthcare service on a home network. And it is also decided 7 fields and 24 sub-fields, technically. In order to make a priority for the standardization, we use an AHP methodology, that is more objective and feasible, as a decision tool. After two-phase survey that consists of paper survey and face to face meeting, we get a conclusion that home healthcare content is at the top and then wireless home network follows it.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.1
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• pp.116-129
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• 2011

Purpose: The purpose of this study was to develop a computer decision making support system that enables nurses to utilize the computer in selecting the best decision for pain management for patients with dementia institutionalized in nursing homes. Methods: To formulate the protocol for the management of patients' pain, the researcher analyzed content of interviews with 30 nurses in three nursing homes and an expert group. A decision support computer program was formalized based on existing protocols. To evaluate the effectiveness and applicability of the system, analysis of data on patient pain management and nurse satisfaction with the system were done after the formalized decision support computer program was complete. Results: The decision support computer program for pain management for institutionalized patients with dementia was finalized after adjustments following the evaluation. Nurse satisfaction with the program was moderate. It also provided opportunity to reassess thinking about pain and pain management. Conclusions: The results indicate that this program provides nurses with useful knowledge for pain management in institutionalized patients with dementia and aids in decision making in nursing practice in nursing home.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.9
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• pp.1970-1976
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• 2012

Home healthcare system has lot of things to do for the integration with medical instruments in the sense of standardization. We will design and implement mobile healthcare system based on smart gateway thru adaptation of ISO/IEEE 11073, and HL7 standard. And also we are willing to research heart rate monitor, pulse-oxygen meter and ECG monitor in order to develop mobile healthcare system for medical appliance. We studied the connection of standard medical devices, i.e, continua health alliance under the Android 4.x Bluetooth HDP(Health Device Profile) environments. We also tried to implement healthcare system which can support diagnosis for healthcare provider and user based on HL7 standard.

• Journal of Hospice and Palliative Care
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• v.20 no.1
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• pp.8-17
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• 2017

Globally, efforts are being made to develop and strengthen a palliative care policy to support a comprehensive healthcare system. Korea has implemented a hospice and palliative care (HPC) policy as part of a cancer policy under the 10 year plan to conquer cancer and a comprehensive measure for national cancer management. A legal ground for the HPC policy was laid by the Cancer Control Act passed in 2003. Currently in the process is legislation of a law on the decision for life-sustaining treatment for HPC and terminally-ill patients. The relevant law has expanded the policy-affected disease group from terminal cancer to cancer, human immunodeficiency virus/acquired immune deficiency syndrome, chronic obstructive pulmonary disease and chronic liver disease/liver cirrhosis. Since 2015, the National Health Insurance (NHI) scheme reimburses for HPC with a combination of the daily fixed sum and the fee for service systems. By the provision type, the HPC is classified into hospitalization, consultation, and home-based treatment. Also in place is the system that designates, evaluates and supports facilities specializing in HPC, and such facilities are funded by the NHI fund and government subsidy. Also needed along with the legal system are consensus reached by people affected by the policy and more realistic fee levels for HPC. The public and private domains should also cooperate to set HPC standards, train professional caregivers, control quality and establish an evaluation system. A stable funding system should be prepared by utilizing the long-term care insurance fund and hospice care fund.