치의학계에서는 의료사고를 일으킬만한 중환자나 응급환자의 빈도가 상대적으로 낮아 의료분쟁에 휘말리는 경우가 적었기 때문에, 이에 대하여 비교적 안전지대로 인식되어 왔다. 그러나 요즈음은 남의 일로 보아 넘기기에는 어려울 정도로 의료분쟁이 증가하고 있다. 이런 연유로 최근에 이르러서는 비교적 다양한 의료사고와 분쟁에 관한 연구가 이루어지고 있으며, 적당한 대처를 위하여 관련된 사항을 분석하고 있으나, 자료가 부족한 실정이다. 본 연구는 2004년 현재 서울시치과의사회 소속 개원치과의사 3684명중, 설문지가 회수된 1882명을 연구대상으로 하며, 치과의사를 대상으로 하는 의료배상책임보험이 시행되고 있는 최근의 개원 치과에서 일어나는 의료사고 및 분쟁의 실태와, 일반적인 치과의사들의 의식을 분석하고, 전체적인 흐름을 파악하여 향후대책의 자료를 제시하는 것을 연구목적으로 한 것으로 다음과 같은 결과를 얻었다. 1. 응답자의 98.47%가 향후 의료사고 및 분쟁 발생에 대한 의구심을 가졌다. 2. 응답자의 27.42%가 의료분쟁을 경험하였으며, 전공의 수련여부와 의료분쟁 경험률 사이에는 유의한 차이가 나타나지 않았다. 3. 의료사고 중 치주.보존 관련 사고가 20.50%로 가장 높았으며, 임프란트 관련사고도 6.17%로 나타났다. 4. 응답자의 43.02%만이 치료 전 충분히 설명을 하였으며, 환자의 정확한 동의없이 치료를 시작하는 경우도 25.90%로 나타났다. 5. 설명 및 동의를 시행하지 않아 의료분쟁이 발생한 것은 16.55%이며, 의무기록 관련자료가 부족하여 문제해결에 어려움을 당한 경우는 10.26%로 나타났다. 6. 응급조치를 시행할 수 있다고 생각하는 경우는 49.73%였으며, 이중 정확한 지식을 갖춘 경우는 23.60%로 나타났다. 7. 의료분쟁 발생시 88.09%가 치과의사에게 조언을 구하였으며, 또한 단체로는 구치과의사회에 주로 자문을 구했다. 8. 의료분쟁과 관련하여 소비자보호원으로부터 자료 제출 요구를 받은 경우는 5.26%로 나타났으며, 이들 중 75.61%는 이에 성실히 대응하였다. 9. 의료분쟁을 해결한 후 83.63%는 비교적 안정적인 심리상태를 회복하였다. 10. 응답자의 99.46%가 의료분쟁처리기구가 필요하다고 느꼈으며, 78.58%는 매우 시급하다고 생각하였다. 11. 66.70%의 치과의사가 의료분쟁 경험이 없이도 의료배상책임보험에 가입하였다. 그러나 응답자의 73.36%는 이 상품에 대하여 잘 몰랐으며, 가입자의 93.36%는 분쟁처리과정을 잘 알지 못했다. 12. 79.00%의 응답자가 의료배상책임보험에 가입한 후에는 의료분쟁이 발생하여도 당황스러우나 가입 이전보다는 비교적 안심할 수 있다고 느끼고 있었다. 13. 의료배상책임보험에 의한 분쟁의 해결시 치과의사는 71.92%가 보통이상으로 만족하였으나, 환자는 35.61%만이 만족하였다. 14. 의료배상책임보험의 보완점으로 53.22%가 분쟁의 신속한 해결을 위해서 보험사, 의사, 환자 모두가 합의 유도에 동참해야 한다고 생각하였으며, 또 29.08%의 응답자가 합의과정에서 환자측의 업무방해를 보험사에서 방어해 주기를 바라고 있었다. 이상의 결과들을 볼 때 증가하는 의료분쟁에 대한 인식을 제고하고 이에 대한 교육 및 해결 장치의 보완이 필요할 것으로 사료된다.
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.