• Title/Summary/Keyword: Healthcare cost

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A Study on the Reason for Change of Master Plan of Hospital Architecture in Design Process (병원건축 마스터플랜이 설계과정에서 변경되는 원인에 관한 연구)

  • Park, Cheolkyun;Yang, Naewon
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.24 no.4
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    • pp.7-15
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    • 2018
  • Purpose: The life span of a hospital building is short. This is because the building will have to be built up due to the fact that it can not cope with the new medical environment, it can not be replaced due to low floor height, lack of land. The purpose of the hospital building master plan is to find a way to fulfill its role in the long term. Methods: Comparison the proposals submitted by the master plan and the proposals submitted by the hospitals, the case of three hospitals that have established a master plan for the past three years. In addition, interviews with the designers who participated in the design competition and the administrator of hospital about the variables that occurred during the business process. Results: The result of this study can be summarized into four points. The first one is that master plan is changed by administrator of hospital so that Thy need to understand about the role of master plan. And next is to protect reduction of the project cost. Third, continuous participation of master plan researchers in following projects is good to communicate with administrator and designer. The last one is empathy of master plan by designer and users. Implications: It is necessary to reduce changing of master plan in design process for sustainable managing of hospital.

Overview and Prospects of Patient Centered-Smart Hospitals (환자중심 스마트병원의 개요와 전망)

  • Park, Hyunyoung;Cho, Yong Jin
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.419-426
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    • 2021
  • With the development of the information and communication technology, the smart hospital has become a new trend in a healthcare industry. This study reviewed the concept, key technologies, applications, and future challenges of a smart hospital, and the user-centered strategies for designing a smart hospital. In smart hospitals, digitally enabled clinical staff will be able to produce better patient outcomes by delivering a more integrated patient-centered care with an efficient manner in connected facilities systems. However, to promote a successful patient-centered smart hospital environment in the future, various obstacles regarding cost, technology, security, and standards should be overcome. It is also necessary for patients and medical personnel to be involved as service users.

Process Optimization of Nypa fruticans Wurmb Extract using Mixed Solvent and its Functional Component Analysis

  • Kim, Jin;Kim, Han Sung;Son, Jang Wan;Moon, Seong Yong;Lee, Sook-Young
    • Biomedical Science Letters
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    • v.28 no.1
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    • pp.34-41
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    • 2022
  • In this study, conditions for extraction of functional component from Nypa fruticans wurmb was optimized. The yield by extraction with 30% ethanol (LE30, 42.12%) was higher than those hot water extraction (LDW 33.32%), 50% ethanol (LE50, 40.12%) and 70% ethanol (LE70, 34.5%). The extract was purified and analyzed by GC MS. The prevailing compounds found in extract were Cyclodecasiloxane-, pentadecanoic acid, -eicosane, undecanal and tridecanoic acid. The presence of saturated and unsaturated fatty acids in ethanolic extract vindicate the use of this plant to treat many diseases in traditional medicine. The total phenolic contents in the LDW, LE30, LE50, LE70 extract were 128±1.65 mg/g, 205±2.3 mg/g, 210±4.23 mg/g and 180±5.6 mg/g, respectively. The DPPH was highest in LE70 extract (1,000 ㎍/mL, 81.14%), ABTS was highest in LE50 extract (1,000 ㎍/mL, 84.14%). The protective effects against oxidative stress in raw 264.7 cell imparted by the LE50 extract was better than those imparted by the other extracts. The findings of the present study suggest that 50% ethanol is best solvent for extraction of Nypa fruticans Wurmb, considering yield, polyphenol content, and antioxidant activities with extraction cost.

A study on the Planning of a general ward in infectious diseases hospital considering the efficiency of hospital operation (운영 효율성을 고려한 감염병 전문병원의 일반병동 건축계획에 관한 연구)

  • Han, Eunbee;Kwon, Soonjung
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.27 no.4
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    • pp.29-39
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    • 2021
  • Purpose: As the need for a hospital specializing in infectious diseases has increased, construction is being promoted. Hospitals specializing in infectious diseases receive some state subsidies, but in the case of private hospitals, hospital operation efficiency should be considered to prevent cost loss. Therefore, we aim to derive a building plan for a general ward in a hospital specializing in infectious diseases that can be used not only in normal times but also in times of crisis. Methods: In this study, relevant literature review and field interviews were conducted with medical staff working in facilities designated as infectious disease hospitals. Results: The general ward building plan of the hospital specializing in infectious diseases was classified into three categories and presented. 'Spatial composition' for nursing unit and ward zoning, 'Spatial plan' for ward space conversion in normal times and crises, 'Bedroom plan' for effective dimensions and area of the ward. Implications: It can be used as a guideline when designing an infection-facility ward. And it can be a basis for inducing improvements to prevent infection in the ward of existing medical facilities.

Personalized Diet in the Era of the 4th Industrial Revolution (4차 산업혁명 시대 맞춤형 식이)

  • Soo-Hyun Park;Jae-Ho Park
    • Journal of the Korean Society of Food Culture
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    • v.38 no.4
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    • pp.185-190
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    • 2023
  • This paper elucidates the novel direction of food research in the era of the 4th Industrial Revolution characterized by personalized approaches. Since conventional approaches for identifying novel food materials for health benefits are expensive and time-consuming, there is a need to shift towards AI-based approaches which offer more efficient and cost-effective methods, thus accelerating progress in the field of food science. However, relevant research papers in this field present several challenges such as regional and ethnic differences and lack of standardized data. To tackle this problem, our study proposes to address the issues by acquiring and normalizing food and biological big data. In addition, the paper demonstrates the association between heath status and biological big data such as metabolome, epigenome, and microbiome for personalized healthcare. Through the integration of food-health-bio data with AI technologies, we propose solutions for personalized healthcare that are both effective and validated.

Comparison of Position and Trend of Disease Burden in Korea and Organization for Economic Cooperation and Development Countries (한국과 경제협력개발기구 국가의 질병부담 위치와 추이 비교)

  • Yun Hwa Jung;Hye Jin Joo;Eun-Cheol Park
    • Health Policy and Management
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    • v.33 no.2
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    • pp.129-140
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    • 2023
  • Background: This study aims to compare the burden of disease in Korea with other Organization for Economic Cooperation and Development (OECD) countries using the OECD health statistics from 1985 to 2020. Methods: We analyzed potential years of life lost (YLL) per 100,000 population using the Positive value for relative comparison (PARC) index, trend test, and average annual percentage change (AAPC) with logistic regression analysis. Results: The relative disease burden was good for many diseases, but the disease burden was severe for a few diseases in Korea. Diseases with a high relative burden of disease in Korea are as follows; intentional self-harm (YLL2020 575.6, AAPCYLL 2.6%; PARC2020 -1.000, AAPCPARC -15.8%), malignant neoplasms of the liver (YLL2020 136.6, AAPCYLL -3.9%; PARC2020 -1.000, AAPCPARC 0.0%), malignant neoplasms of the stomach (YLL2020 9.0, AAPCYLL 3.2%; PARC2020 -0.556, AAPCPARC -22.9%), Parkinson's disease (YLL2020 575.6, AAPCYLL 2.6%; PARC2020 -1.000, AAPCPARC -15.8%). Conclusion: Diseases with a high burden of disease are needed to be prioritized in the planning and execution of healthcare policies that can contribute to the efficient use of healthcare resources.

Ionic Passivation and Oxidation Dynamics for Enhanced Viability of Copper-Based On-Skin Bioelectrodes in Biological Environments

  • Jungho Lee;Gaeun Yun;Juhyeong Jeon;Phuong Thao Le;Seung Whan Kim;Geunbae Lim
    • Journal of Sensor Science and Technology
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    • v.32 no.6
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    • pp.352-356
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    • 2023
  • The integration of bioelectronic devices with the skin is a promising strategy for personalized healthcare monitoring and diagnostics. On-skin bioelectrodes hold great potential for the real-time tracking of physiological parameters. However, persistent challenges of stability and reliability have instigated exploration beyond conventional noble metals. This study focuses on the ionic passivation and oxidation dynamics of copper-based on-skin thin-film bioelectrodes. Through parylene chemical vapor deposition, we harness a controlled thin film of parylene insulation to counter the intrinsic susceptibility of copper to oxidation in the ionic environment. The results represent the relationship among the parylene insulation thickness, copper oxidation, and electrode impedance over temporal intervals. Comparative analyses indicate that the short-term stability of the copper electrode is comparable to that of the gold electrode. Therefore, we propose a cost-effective strategy for fabricating copper-based on-skin bioelectrodes by introducing enhanced ionic stability within a discernible operational timeframe. This study enriches our understanding of on-skin bioelectronics and affordable material choices for practical use in wearable healthcare devices.

Development of Medical Cost Prediction Model Based on the Machine Learning Algorithm (머신러닝 알고리즘 기반의 의료비 예측 모델 개발)

  • Han Bi KIM;Dong Hoon HAN
    • Journal of Korea Artificial Intelligence Association
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    • v.1 no.1
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    • pp.11-16
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    • 2023
  • Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.

Design and Implementation of Healthcare System Based on Non-Contact Biosignal Measurement (비접촉 생체신호 측정 기반 헬스케어 시스템 설계 및 구현)

  • Hong, Seong-Pyo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.1
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    • pp.185-190
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    • 2020
  • The rapid aging is increasing as the shortage of medical facilities and the resulting of decline in the quality of public health. In order to ease the burden of rising medical expenses, advanced medical institutions are expanding their remote medical care to lower the cost of services. U-healthcare detects the changes in physical and chemical phenomena occurring in the human body and converts them into electrical signals that can be processed and feeds back to the results through analytical and visualization processes to select only the desired information from the measured signals. The service is provided through a process of providing an alarm to a user. However, traditional biometric methods of attaching sensors directly to the body can be annoying and rejected in daily life. Therefore, there is a need for a method of continuously measuring biometric information without causing inconvenience to daily life. In this paper, we propose an IR-UWB-based non-contact and non-responsive respiratory measurement system that can continuously monitor biological information without any inconveniences to daily life.

Reliable Transmission of Bio-Data for IEEE 11073 PHD Standards at 6LoWPAN Multi-Hop Wireless Sensor Networks (6LoWPAN 멀티-홉 무선 센서 네트워크에서의 IEEE 11073 PHD 표준을 위한 신뢰성 있는 생체 정보 전송)

  • Woo, Yeon Kyung;Park, Jong Tae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.10
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    • pp.116-123
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    • 2013
  • In mobile healthcare applications, the reliable transmission of the bio-data is very important. In this article, we present a reliable bio-data transmission technique for mobile healthcare monitoring service at 6LoWPAN multi-hop wireless networks. In particular, we expand IEEE 11073-20601 protocol, and propose the reliable path construction for 6LoWPAN aimed to reliably provide mobile healthcare service over wireless sensor network, using IPv6 network. 6LoWPAN is recognized possibility because it is agree with sensor network by raising Adaptation layer on the MAC layer to transmit IPv6 packets. In this article proposed minimize the algorithm complexity and reliability routing protocol because the 6LoWPAN devices are suitable for low cost, small size and battery that can be used to health care system environment. And detailed procedures and algorithms are presented. We the proposed method to prove the superiority of using NS-3 for compareing with AODV protocol.