• Title/Summary/Keyword: 의료소비자

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An IT Convergent Service Engineering Model based on the Dynamic Innovation Theory (동태적 혁신이론 기반의 IT 융합 서비스공학 모델)

  • Kim, Jong-Ho
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.349-355
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    • 2007
  • 최근, 맞춤의료서비스, 헬스와 웰빙의 복합서비스, RFID 기반의 공급망 관리 서비스와 같이 정보기술(IT), 바이오기술(BT), 나노기술(NT) 등이 융합된 혁신적인 서비스들이 출현하고 있다. 그러나 기존의 전통적인 접근방법으로는 새로이 출현하는 다양한 서비스에 대한 체계적인 접근이 불가능하다. 따라서 분석의 단위를 조직이나 정보 시스템 수준에서 서비스 수준으로 하향하는 것과 요소기술이 서비스로 변환되어 소비자에게 수용되는 전체과정을 동태적, 공학적으로 설계하는 접근이 절실히 요구된다. 본 연구의 목적은 신 기술의 출현, 성숙, 시장으로의 유입과 소비자에 수용되는 서비스 생명주기 전 과정을 통태적 관점에서 분석하는 틀을 제시하고 의료서비스에 특화 하여 서비스 공학적 관점에서 IT, BT, NT가 융합된 서비스를 설계하는 모델을 제시하는 것이다. 이를 위해 우선 서비스의 특성과 서비스 시스템 설계의 목표를 제시하고 동태적 혁신이론에 기반하여 서비스의 탄생부터 시장에서의 수용에 이르는 생명주기를 표현할 수 있는 모델을 개발한다. 이 모델의 시간 축을 분기하여 단계(Stage)들을 도출하고 각 단계에서 수행해야 할 활동들을 설계한다. 아울러 모델의 실제적 유용성을 입증하기 위하여 의료분야의 관련사례를 제시하고 조직의 서비스전략과 다변화 전략을 수립하기 위한 논리도 제시하였다. 본 연구의 동태적 공학모델은 IT 생태계 (IT Ecosystem) 하에서 조직 및 IT 요소들이 다양한 환경에서 어떻게 안정적이고 효율적인 메커니즘을 형성하고 진화해야 하는지를 잘 보여주고 있다.

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A Study on Awareness of the Dental Health Insurance Coverage (치과 건강보험에 관한 인식 조사)

  • Han, Ji-Hyoung;Kim, Yoon-Sin
    • Journal of dental hygiene science
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    • v.8 no.2
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    • pp.65-71
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    • 2008
  • The purpose of this study was to examine people's awareness of health insurance in a bid to help improve the management of dental health insurance coverage. The subjects in this study were 1,036 people who included experts in that field and medical consumers. The findings of the study were as follows: 1. In regard to the demographic characteristics of the expert group including gender and age, the female experts outnumbered the males, as the former accounted for 84.7 percent. And the experts in their 20s made up the largest age group, followed by the 30-39 age group and those in their 40s. As to the demographic characteristics of the medical consumers, the rates of the men and women stood at 49.8 percent and 50.2 percent respectively, which were similar. By age, the largest number of the medical consumers were in their 20s, followed by in their 30s and in their 40s. 2. Concerning opinions on the procurement of finance for health insurance, many respondents in both groups agreed that the health insurance coverage should be enlarged by securing more finance, and that items involved in the coverage should be prioritized again. Regarding a means of securing financial resources, the experts placed the most emphasis on extended budgetary support from the government, followed by establishing a social security system and budget compilation by local governments. The medical consumers attached the most importance to extended budgetary backing from the government, followed by budget compilation by local governments and determining contribution according to income level. 3. As for general view of the dental health insurance, the experts believed that the amounts of copayment and self-payment by the insured were appropriate(2.47), and they found the number of benefitted items to be proper(2.29) as well. The medical consumers thought that the benefit percentage of the dental health insurance in the overall health insurance budget was appropriate(2.26), and they also considered the number of benefitted items adequate(2.16). But this group didn't give a lot of marks to the appropriateness of those things. 4. As to perception about the dental health insurance, both groups took a similar view of it. Specifically, they felt the strong need for a dental health insurance system. In terms of satisfaction level, both groups were dissatisfied with it, and there was a strong tendency for them to be discontented with the health insurance coverage.

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Product Planning using Sentiment Analysis Technique Based on CNN-LSTM Model (CNN-LSTM 모델 기반의 감성분석을 이용한 상품기획 모델)

  • Kim, Do-Yeon;Jung, Jin-Young;Park, Won-Cheol;Park, Koo-Rack
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.427-428
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    • 2021
  • 정보통신기술의 발달로 전자상거래의 증가와 소비자들의 제품에 대한 경험과 지식의 공유가 활발하게 진행됨에 따라 소비자는 제품을 구매하기 위한 자료수집, 활용을 진행하고 있다. 따라서 기업은 다양한 기능들을 반영한 제품이 치열하게 경쟁하고 있는 현 시장에서 우위를 점하고자 소비자 리뷰를 분석하여 소비자의 정확한 소비자의 요구사항을 분석하여 제품기획 프로세스에 반영하고자 텍스트마이닝(Text Mining) 기술과 딥러닝(Deep Learning) 기술을 통한 연구가 이루어지고 있다. 본 논문의 기초자료가 되는 데이터셋은 포털사이트의 구매사이트와 오픈마켓 사이트의 소비자 리뷰를 웹크롤링하고 자연어처리하여 진행한다. 감성분석은 딥러닝기술 중 CNN(Convolutional Neural Network), LSTM(Long Short Term Memory) 조합의 모델을 구현한다. 이는 딥러닝을 이용한 제품기획 프로세스로 소비자 요구사항 반영, 경제적인 측면, 제품기획 시간단축 등 긍정적인 영향을 미칠 것으로 기대한다.

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The Effect of the Improvement of the Sales Regulation of General Medicine and Political Proposals (일반의약품 판매규제 완화효과와 정책제언)

  • Yeom, Min-Sun
    • Journal of Distribution Research
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    • v.15 no.5
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    • pp.237-255
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    • 2010
  • The Korean Pharmacist Law has limited the sales of medicine to pharmacies. This has caused difficulty in purchasing medicine late at night or on holidays, which has limited the range of customers' selections and accelerated customers' discomfort, accordingly. Also, the rapid progress of aging has quickly boosted medical expenses for seniors, and has served as a factor that aggravates the budget of national medical insurance. Meanwhile, advanced countries, including the USA and Japan, have allowed the sales of general medicine, of which the safety and efficacy have been tested, in general retail stores such as convenience stores or super markets from the perspective of supporting self-medication. In particular, Japan, which has a strong tendency of pursuing safety in the world, diversified sales channels for general medicine in order to control quickly rising medical expenses. As a result, Japan has achieved the effect of easing various regulations as follows in the economic and social fields. First, the increasing distribution channels of general medicine from pharmacies to general retail stores provoked a potential demand, which also expanded related markets. Second, the competition between sales channels resulted in the reduction of the price of medicine. Third, the growing sales channels of medicine have extended the options of consumers and, subsequently, the convenience in the use of consumers has increased. Fourth, the creation of a competitive environment owing to the diversification of sales channels has accelerated an effort to enhance corporate competitiveness. Fifth, the foundation of enhancing the financial soundness of medical expenses has been prepared through the formation of a self-medication environment. In 2000, the Korean population aged 65 or over exceeded 7%, and it is anticipated to be over 14% by 2018; thus, the increase of national medical expenses will be sped up. As a way of being prepared for the era of aging, we, just as other advanced countries, need to create a self-treatment environment by diversifying the sellers of general medicine, and, thus, reduce spending on personal medical expenses, enhance the financial soundness of national medical insurance, and, further, promote the welfare of consumers.

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Analysis of Consumer's Recognition and Satisfaction for the Improvement of the Doctor-Designation System (선택 진료 제도 개선을 위한 소비자 인식도와 만족도)

  • Im, Bock-Hee
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.385-396
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    • 2014
  • The purpose of this study was to examine the recognition of citizens in Busan on the doctor-designation system, the awareness of medical consumers with experience of using this system and their satisfaction in an effort to seek ways of improving this system. The subjects in this study were the selected citizens in Busan who were at the age of 20 and up. As a result, it's found that the largest group of the respondents was female, in their 20s, received college or higher education, students and in the service industry, and that the most common monthly mean income was between two and 2.99 million won. 27.7 percent were aware of the doctor-designation system, and 23.7 percent became cognizant of the system through others who had used it. The rate of knowing the rules of the doctor-designation system (the right answer) stood at 66.3 percent. They got to know about the system through mass media(31.9%), and used it since it offered highly specialized treatment(57.5%). The respondents who had used it intended to reuse it(76.3%), and the reason was that they were provided with high-class medical services (35.2%). The respondents who had used this system got a mean of 2.96 in satisfaction level, which was not high in general. They mentioned more publicity efforts(91.2%), offering information in a conspicuous place (96.7%) and cutting doctor-designation treatment fee as a means of improving this system. As for how to ensure the operating efficiency of the system, sustained publicity seem to be necessary to raise awareness of the system among patients, and it's required to take measures to relieve patients of financial burden caused by medical bills.

Classification Modeling for Predicting Medical Subjects using Patients' Subjective Symptom Text (환자의 주관적 증상 텍스트에 대한 진료과목 분류 모델 구축)

  • Lee, Seohee;Kang, Juyoung
    • The Journal of Bigdata
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    • v.6 no.1
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    • pp.51-62
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    • 2021
  • In the field of medical artificial intelligence, there have been a lot of researches on disease prediction and classification algorithms that can help doctors judge, but relatively less interested in artificial intelligence that can help medical consumers acquire and judge information. The fact that more than 150,000 questions have been asked about which hospital to go over the past year in NAVER portal will be a testament to the need to provide medical information suitable for medical consumers. Therefore, in this study, we wanted to establish a classification model that classifies 8 medical subjects for symptom text directly described by patients which was collected from NAVER portal to help consumers choose appropriate medical subjects for their symptoms. In order to ensure the validity of the data involving patients' subject matter, we conducted similarity measurements between objective symptom text (typical symptoms by medical subjects organized by the Seoul Emergency Medical Information Center) and subjective symptoms (NAVER data). Similarity measurements demonstrated that if the two texts were symptoms of the same medical subject, they had relatively higher similarity than symptomatic texts from different medical subjects. Following the above procedure, the classification model was constructed using a ridge regression model for subjective symptom text that obtained validity, resulting in an accuracy of 0.73.

The Effect of Waiting Time on a Hospital Image (한국 종합병원 이미지에 관한 연구 -대기시간 요인을 중심으로-)

  • Kang, Han Seung;Ko, Jong Weon
    • International Area Studies Review
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    • v.13 no.1
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    • pp.491-512
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    • 2009
  • The study on waiting time has been conducted from the psychological perspective since Maister (1985). In using medical institutions, especially general hospitals, it is not avoidable to wait for a long time. As a result, the waiting time gives clients psychological stress, which causes medical consumers to be more dissatisfied and decreases their rate of revisit. Accordingly, it is very urgent to study on the waiting time for hospitals' marketing and better image-making. This study is intended to find out how hospitals image and clients revisit is influenced by waiting environment and consumers' attitude, variables of waiting time perceived in medical services. Based on this study, those medical institutions are required to improve their medical service and waiting environment. Accordingly, they should convert waiting time into more efficient and comfortable recess and provide better environment for physical service and effective human services. As those medical institutions have relatively worse image than other businesses, they should actively study on ways of better image-making in the future.

Consumer Satisfaction and Complaint with medical Services : -In ulsan city- (의료서비스에 관한 소비자만족과 소비자불만호소 : 울산시를 중심으로)

  • 서정희
    • Journal of the Korean Home Economics Association
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    • v.33 no.2
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    • pp.29-41
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    • 1995
  • This research paper investigates the overall level of the consumer's satisfaction and complaint with medical services, relationships of them and the relationships of socio-demographic variables to them. Data were collected from 523 clients in Ulsan city. Results show that socio-demographic variables appear to have a little predictive power and consumer satisfaction variables are related to private consumer complaint.

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Nature of Competition and Regulation in Health Care Markets : Implications for Public Policy (보건의료분야에서의 경쟁과 규제의 본질 : 공공정책적 함의)

  • 권순만
    • Health Policy and Management
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    • v.6 no.2
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    • pp.14-42
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    • 1996
  • On rationale for government intervention is the failure of competition in the market. Health care markets are characterized by such unique aspects as information asymmetry, prevalence of insurance, and cost-increasing competition based on the adoption of costly medical technology. Therefore, government policy to guarantee a sufficient number of providers in markets may not lead to socially beneficisal outcomes such as higher quantity and lower price. This paper examines the unique nature of health services and its implications for competition, the evidence that competition may not reduce health care ex[enditures, and policy tools that government can use to encourage competition which contributes to supporting a sustainable health care system.

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Quality estimation metrik development of u-health SW reliability (u-health SW 신뢰성의 품질평가 메트릭 개발)

  • Kang, Bae-Keun;Lee, Ha-Yong;Yang, Hae-Sool
    • Proceedings of the KAIS Fall Conference
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    • 2009.12a
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    • pp.798-801
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    • 2009
  • 인구의 고령화와 정보통신 기술의 발전이 맞물리면서 의료비 지출에 대한 절감의 필요성과 편리한 의료 서비스를 이용하고자 하는 소비자의 욕구, 병원에 구축된 IT인프라의 효과를 극대화 시키고자하는 공급자의 욕구 등이 부합되면서 그 기반이 조성된 것으로 볼 수 있다. 본 연구에서는 u-health 소프트웨어의 분야의 기반 기술을 조사하고 u-health 소프트웨어 시장과 표준화 동향을 조사하며 u-health 소프트웨어 신뢰성의 품질평가 메트릭을 개발하였다.

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