• Journal of Yeungnam Medical Science
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• 제8권1호
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• pp.107-126
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• 1991

일부 도시 영세지역 주민의 상병양상과 의료이용형태를 파악하기 위하여 1988년 12월 한달간에 걸쳐 대구시 남구 대명 8동 영세지역 677가구 2,591명과 대조지역 688가구 2,682명의 주민을 대상으로 면접조사를 실시하였다. 두 지역의 연령별 인구 구성은 0-4세, 65세이상의 인구가 영세지역이 높았으며, 성비는 차이가 없었다. 교육정도와 경제수준은 영세지역은 낮았고, 의료보호 대상자는 영세지역이 많았다. 15일간의 급성질환 이환율은 영세지역이 1000명당 57.1로 대조지역의 24.2보다 유의하게 높았다. 두 지역에서 9세 이하 연령에서의 이환율이 높았으나 연령 증가에 따른 이환율의 뚜렷한 증감현상은 보이지 않았다. 질병분류별 급성질환 이환건수는 두 지역 모두에서 남녀 공히 호흡기계 질환이 가장 많았으며, 영세지역의 경우 감염 및 기생충 질환이 두번째로 많아 대조지역과는 다른 양상을 보였다. 급성질환 이환자의 15일간의 평균 이환기간은 영세지역 6.6일, 대조지역 5.4일로 영세지역이 약간 길었다. 급성질환 이환자의 15일간 의료기관 이용은 1차 이용에서는 영세지역의 경우 약국이 58.1% 그리고 대조지역에서는 의원이 36.9%로 가장 많았으며, 2차와 3차 이용에서 영세지역은 약국과 한의원, 대조지역은 병원과 의원이 가장 많았고, 미치료율은 영세지역이 8.8%로 대조지역의 4.6%에 비하여 훨씬 높게 나타났다. 급성질환 이환자의 지역별 의료이용행태에서 1차 이용에 있어서는 동네내 이용이 영세지역 73.6%, 대조지역 64.6%로 가장 많았다. 급성질환 이환자의 의료기관 1차 이용시 병원을 이용하는 이유로 가장 많은 것이 영세지역은 '단골'이었으며, 대조지역은 '가까운 거리'였다. 의원, 보건소 및 약국을 이용하는 이유로 가장 많은 것은 두 지역 모두 '가까운 거리'였다. 1년간 만성질환 이환율은 1000명당 영세지역 83.0, 대조지역 28.0으로 유의한 차이를 보였으며, 연령이 증가함에 따라 이환율도 증가하는 경향을 보였다. 만성질환 이환건수는 영세지역에서는 남자의 경우 신경계 질환이 19.6%, 여자의 경우는 신경계 질환 18.3%, 근골격계 질환이 18.3%로 가장 많았고, 대조지역에서는 남자의 경우 심혈관계 질환이 23.1%, 여자의 겨우 위장관계질환이 27.3%로 가장 많았다. 조사 시점전 1년간 만성질환의 평균 이환기간은 영세지역 9.8개월, 대조지역 10.4개월로 대조지역이 약간 더 길었으며, 평균 활동 제한 기간도 영세지역 1.9개월보다 대조지역 2.1개월로 다소 길었다. 만성질환 이환자의 의료기관 1차 이용에 있어서 영세지역은 약국 이용이 24.2%, 대조지역은 병원외래 이용이 34.7%로 가장 많았으며, 2차, 3차 이용에 있어 영세지역에서는 각 의료기관을 고루 이용하였고, 대조지역에서는 병원 이용이 두드러지게 많았으며, 미치료율은 영세지역과 대조지역이 각각 34.7%, 16.0%로 영세지역이 월등히 높았다. 만성질환자의 지역별 의료이용행태에서 1차 이용에 있어서는 동네내 이용이 영세지역 38.3%, 대조지역 45.3%로 두 지역 모두에서 가장 많았다. 만성질환 이환자의 지역별 의료기관 1차 이용시 병원, 의원, 보건소 및 약국을 이용하는 주된 이유는 '가까운 거리'였으며, 한의원을 이용하는 이유는 '좋은 치료결과'와 치료의 명성'이었다. 이상의 결과로 영세지역의 사회경제적수준이 상병과 의료이용행태에 영향을 미친 것으로 생각된다. 따라서 영세지역 주민을 위한 보다 적극적인 보건의료 서비스의 개발과 합리적이고 적절한 의료이용을 위한 지도 및 계몽과 아울러 사회경제적인 요소들의 개선을 위한 노력을 병행해야 만이 효과적인 보건의료 사업이 될 것으로 생각된다.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.