• 제목/요약/키워드: Medical service performance

검색결과 445건 처리시간 0.03초

병원에 종사하는 의료기사 직종의 전문직업성과 조직성과 (The Medical Professionalism and Organizational Performance of Medical Technician in Hospital)

  • 임정도
    • 한국콘텐츠학회논문지
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    • 제13권12호
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    • pp.910-920
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    • 2013
  • 본 연구는 35개 병원급 이상 의료기관에 종사하는 물리치료사, 방사선사, 임상병리사, 작업치료사 437명을 대상으로 전문직업성이 조직성과에 어떠한 영향을 미치는지 살펴보고자 하였다. 분석결과 첫째, 의료기사 직종 종사자들의 전문직업성은 직업에 대한 가치 구성변수 중 직무수행능력과 직무의미성 보수의 적절성 직무자율성이 성별과 연령대에 따라 유의한 차이가 있었고, 직무에 대한 영향력은 연령에 따라서만 유의한 차이가 있었다. 둘째, 조직성과 측정변수인 직장에 대한 애착에 가장 큰 영향력을 미치는 변수는 직업에 대한 가치 변수중 보수의 적절성이었다. 셋째, 직무특성 중 현 병원 근무년수가 높을수록 직장에 대한 애착이 높다는 것을 알 수 있었다. 넷째, 직종별로 살펴본 결과, 의료기사 직종의 조직성과(직장에 대한 애착)에 영향을 미치는 전문직업성 변수들은 의료기사 직종에 따라 차이가 있었다.

Design of Implantable Rectangular Spiral Antenna for Wireless Biotelemetry in MICS Band

  • Lee, Jae-Ho;Seo, Dong-Wook;Lee, Hyung Soo
    • ETRI Journal
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    • 제37권2호
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    • pp.204-211
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    • 2015
  • For this study, we designed an implantable rectangular spiral antenna for medical biotelemetry in the Medical Implant Communications Service band (402 MHz to 405 MHz). The designed antenna has a U-shaped loop for impedance matching. The antenna impedance is easily adjusted by controlling the shape and length of the U-shaped loop. Significant design parameters were studied to understand their effects on the antenna performance. To verify the potential of the antenna for the desired applications, we fabricated a prototype and measured its performance in terms of the resonant characteristics and gain radiation patterns of the antenna. In the testing phase, the prototype antenna was embedded in human skin tissue-emulating gel, which was developed to simulate a real operation environment. The measured resonant characteristics show good agreement with the simulations, and the -10 dB frequency band is within the range of 398 MHz to 420 MHz. The antenna exhibits a maximum gain of -22.26 dBi and an antenna efficiency of 0.215%.

A MODEL FOR SELECTION, AWARDING, AND MONITORING OF PPP PROJECTS IN DEVELOPING COUNTRIES; HEALTH CARE FACILITIES IN COLOMBIA

  • Henry Arboleda-Mantilla;Carlos A. Arboleda
    • 국제학술발표논문집
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    • The 5th International Conference on Construction Engineering and Project Management
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    • pp.344-351
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    • 2013
  • Private participation on public infrastructures projects is being promoted by governments of several developing countries, among them Colombia. As a result, several advantages such as service delivery efficiency, technology application and faster execution of the projects have been recognized. Hence, the Colombian Government is looking for schemes that allow the private investment in projects like hospitals, schools, prisons and public edification. In this paper, experiences in PPP from other countries were analyzed and adjusted to the Colombian environment. As a result, a model adapted to Colombia is presented, based on a well-developed case from Spain. The awarding process is defined by economic criteria, previous compliance of minimum technical exigencies. Once the infrastructure is operating, contractual periodical payments will be done, based on the performance of the facility.

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환자만족도 평가에 대한 방법론적 접근: IPA기법을 중심으로 (A Methodological Approach on the Evaluation of Patient Satisfaction: Focused on the Importance Performance Analysis(IPA))

  • 박재산
    • 보건행정학회지
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    • 제18권3호
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    • pp.1-17
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    • 2008
  • The measurement and management of patient satisfaction has become one of the key issues in the last two decades. Hospitals must thoroughly understand the needs of their customers and design products and health services that meet and exceed their expectations. The importance-performance analysis(IPA) is a widely used analytical technique that yields strategies for managing customer satisfaction in a variety of applications. IP A is a two-dimensional grid based on customer-perceived importance of quality attributes and attribute performance. Depending on the interplay of these two dimensions, four strategies can be derived. The aim of this study is to develop the management strategies for improving patient satisfaction in university hospitals using the I-P analysis. The attributes on inpatient service quality in 4 university hospitals was investigated using the Martilla and James(l977)' s a mean adjusted I-P grid where the axes of the grid cross at the average rating point of all items. The patient satisfaction questionnaires were completed by 600 hospital inpatients. The main statistical methods are path analysis and IPA with SPSS 12.0 and AMOS 4.0 statistical softwares. The two attributes, physician and medical service, administrative staff kindness attributes position in first quadrant(Keep Up the Good domain). The nurse and nursing service attributes position in second quadrant(Possible Overkill domain). The two attributes, convenience of check-in service, facilities and physical environment position in third quadrant(Low Priority domain). Finally the quality of inpatient service(food etc.) attributes position in fourth quadrant(Concentrate Here domain). These findings show various implications on the development of strategies in university hospitals in the future. It was determined that quality of inpatient service(food etc.) need to concentrate more on investments. These investments include a taste, price, proper provision of food service and quick response of pain management. A low priority was given to investment in streamlining the check-in process of inpatient and hospital facilities and physical environment in the long run.

커널필터링 기법을 이용한 건강비용의 효과적인 지출에 관한 군집화 분석 (Clustering Analysis of Effective Health Spending Cost based on Kernel Filtering Techniques)

  • 정용규;최영진;차병헌
    • 서비스연구
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    • 제5권2호
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    • pp.25-33
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    • 2015
  • 데이터마이닝은 방대한 데이터를 기반으로 정보를 추출하는 방법으로 많은 분야에 적용하고 있으며 특히 보건의료 데이터를 다루는 기법으로 많이 활용 되고 있다. 하지만 데이터가 다양하고 방대해짐에 따라 데이터들을 완벽하게 다룰 수 있는 알고리즘이 개발되지 못한 현황이다. 따라서 본 논문에서는 군집화 알고리즘 중의 하나인 DBSCAN 알고리즘과 EM 알고리즘의 성능을 동일한 데이터에 대하여 분석을 시도하였다. 이를 위하여 DBSACN과 EM 알고리즘에 따른 변화를 Health expenditure 실험데이터의 결과를 기반으로 분석 하였고 더욱 정확한 실험과 더욱 정확한 결과를 알아내기 위하여 Kernel Filtering을 통하여 정확한 데이터분석을 시도하였다. 본 연구에서는 알고리즘의 기술적 성능을 비교한 것을 물론이고 성능을 높이기 위한 시도를 하였다. 이를 통하여 확장한 알고리즘에 따른 성능의 변화와 실험데이터의 적용결과를 기반으로 비교하고 이를 분석하게 되었다. 특히 의료기관을 이용하는 다양한 군집으로부터 데이터 레코드를 수집하여 의료 서비스에 대한 효과적인 비용 지출을 권장할 수 있도록 실험하였다.

Impact of Informational Justice on Pharmaceutical Enterprises

  • LEE, Changjoon;HA, Byoung-Chun;LIM, So-Youn
    • 유통과학연구
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    • 제18권8호
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    • pp.55-64
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    • 2020
  • Purpose: This paper addresses issues that concern business-to-business marketing, namely informational justice in the supply chain or organizations. As previously reported by other studies, there is information asymmetry in organizations. The present study explores and addresses this in the medical industry, aiming to investigate how informational justice relates to information quality or logistics performance in the medical industry. This study also suggests a method for development of informational justice in medicine-related fields. Design, methodology, approach: The hypothesis and model were developed through a review of the literature. To this end, we surveyed 293 valid survey samples collected from occupational pharmacists and used structural equation modelling for analysis. Findings: The results of the empirical analysis of the hypotheses showed that symmetric sharing of information between pharmacists and employees of pharmaceutical companies has a positive effect on the perceived quality. Moreover, the results showed that quality information has a positive impact on logistics performance, whereas informational justice does not. Conclusions, implications: If information and explanations are exchanged fairly, information and logistics performance-as well as operational expenses-will be enhanced. Furthermore, our study has immense implications outside of academic applications since it suggests practical solutions to government and medical industry employees.

Modeling Age-specific Cancer Incidences Using Logistic Growth Equations: Implications for Data Collection

  • Shen, Xing-Rong;Feng, Rui;Chai, Jing;Cheng, Jing;Wang, De-Bin
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권22호
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    • pp.9731-9737
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    • 2014
  • Large scale secular registry or surveillance systems have been accumulating vast data that allow mathematical modeling of cancer incidence and mortality rates. Most contemporary models in this regard use time series and APC (age-period-cohort) methods and focus primarily on predicting or analyzing cancer epidemiology with little attention being paid to implications for designing cancer registry, surveillance or evaluation initiatives. This research models age-specific cancer incidence rates using logistic growth equations and explores their performance under different scenarios of data completeness in the hope of deriving clues for reshaping relevant data collection. The study used China Cancer Registry Report 2012 as the data source. It employed 3-parameter logistic growth equations and modeled the age-specific incidence rates of all and the top 10 cancers presented in the registry report. The study performed 3 types of modeling, namely full age-span by fitting, multiple 5-year-segment fitting and single-segment fitting. Measurement of model performance adopted adjusted goodness of fit that combines sum of squred residuals and relative errors. Both model simulation and performance evalation utilized self-developed algorithms programed using C# languade and MS Visual Studio 2008. For models built upon full age-span data, predicted age-specific cancer incidence rates fitted very well with observed values for most (except cervical and breast) cancers with estimated goodness of fit (Rs) being over 0.96. When a given cancer is concerned, the R valuae of the logistic growth model derived using observed data from urban residents was greater than or at least equal to that of the same model built on data from rural people. For models based on multiple-5-year-segment data, the Rs remained fairly high (over 0.89) until 3-fourths of the data segments were excluded. For models using a fixed length single-segment of observed data, the older the age covered by the corresponding data segment, the higher the resulting Rs. Logistic growth models describe age-specific incidence rates perfectly for most cancers and may be used to inform data collection for purposes of monitoring and analyzing cancer epidemic. Helped by appropriate logistic growth equations, the work vomume of contemporary data collection, e.g., cancer registry and surveilance systems, may be reduced substantially.

시뮬레이션 교육방법에 따른 응급구조학과 학생들의 전문심장소생술 지식, 수행자신감 및 수행능력의 차이 (Differences in advanced cardiac life support knowledge, confidence, satisfaction, and performance ability of paramedic students according to simulation education methods)

  • 김현준;이효철
    • 한국응급구조학회지
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    • 제25권3호
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    • pp.111-125
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    • 2021
  • Purpose: This study aimed to analyze the impact of rapid cycle deliberate practice (RCDP) simulation education on advanced cardiac life support knowledge, confidence, satisfaction, and performance ability among paramedic students, and provide basic data on the appropriate methods of educational instruction. Methods: The 48 subjects to be instructed were divided into the traditional simulation education group and the RCDP simulation education group. Six participants were randomly assigned to each group and pre-surveyed. They were then exposed to a lecture about advanced cardiac life support related theories for 60 min and post-surveyed through questionnaires with the same learning goals and scenarios. Results: The advanced cardiac life support knowledge (t=-4.813, p=.000) and performance ability (t=-2.903, p=.006) were significantly different between the traditional simulation education and RCDP simulation education groups The results also showed a significant difference in attach monitor (z=6.857, p=.009), analyze EKG rhythm (z=11.111, p=.001), and defibrillation (z=12.632, p=.000), indicating differences in performance capabilities between the two groups. Conclusion: To improve advanced cardiac life support knowledge, performance ability, and confidence in the paramedic students who receive RCDP simulation education, simulation education methods that are appropriate for the subjects being taught, and detailed learning goals and feedback are necessary.

분류회귀나무를 이용한 의료서비스 적기처리 예측모형 (A Prediction Model of Timely Processing on Medical Service using Classification and Regression Tree)

  • 이종찬;정승우;이원영
    • 전기전자학회논문지
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    • 제20권1호
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    • pp.16-25
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    • 2016
  • 의학적 진단을 내리기 위해 시행되는 검사의 소요시간(turnaround time, TAT)은 환자대기시간과 직결되며 중요한 의료서비스 평가항목 중 하나이다. 본 연구에서는 주요 영상의학검사를 대상으로 TAT를 측정하고, 그 결과가 의료기관이 설정한 기준치를 달성하는지 여부를 분석하였다. 분류회귀나무 알고리즘을 이용한 예측 결과, "진료과", "상병", "검사종류", "실시월"이 적기처리 달성에 가장 큰 영향을 주는 요인으로 확인되었다. 본 연구는 의료서비스의 적기처리를 예측하는 모형을 통하여 의료서비스 지연을 사전에 조치할 수 있는 수단을 제공하였다는 데에 큰 의미가 있다.

지역거점 공공병원의 환경적 요인에 따른 생산성 분석 (Analysis of Productivity by Environmental Factors in Regional Base Public Hospitals)

  • 이진우
    • 한국병원경영학회지
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    • 제22권3호
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    • pp.46-60
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    • 2017
  • The purpose of this study is to analyze the difference of productivity according to environmental factors among 25 Regional base public hospitals. Also this study is to propose a method to improve the productivity of Regional base public hospitals in the future by improving the public performance and stable management performance by studying the productivity variables affecting profitability. The survey period was based on the last three years, and 25 Regional base public hospitals were selected for the survey. The dependent variable is the total capital medical marginal profitability and the medical profit marginal profitability which are the indicators of profitability. The independent variable, productivity, is classified into three indicators: capital productivity, labor productivity, and value added productivity. The ANOVA analysis method was used to analyze the productivity difference according to the frequency factor and the environmental factors of the Regional base public hospitals. Finally, we conducted a hierarchical regression analysis to examine the productivity variables affecting profitability. The results of this study showed that there were differences in productivity due to environmental factors such as hospital size, competition in the local medical market, and differences in management performance. The difference in productivity and profitability depending on the environmental factors suggests that it is difficult for Regional base public hospitals in each regional base to perform a balanced public service. In order to overcome this, it is necessary to provide balanced medical services such as government financial support expansion, regional medical demand forecasting and facility infrastructure construction.