In order to compare the geographical distribution of physician by level of medical care and specialty, a log linear model was applied to the annual registration data of the Korean Medical Association as of the end of December, 1991 which was supplemented from related institutions and adjusted with relevant sources. Those physicians in primary and secondary care institutions were not statistically significantly unevenly distributed by province-level catchment area. There were some differences in physician distribution among big cities, medium and small-sized cities, and counties; however, those physicians for primary care level were equitably distributed between cities and counties. Specialties for secondary care physicians were less evenly distributed in county areas than in city areas, and generalists are distributed more evenly in cities and counties than in big cities. There is a certain limitation due to underregistration in the annual physician registration to the Korean Medical Association; however, the geographical distribution of physicians has been improved quantitatively. It is strongly suggested that specialties and the level of medical care should be considered for further physician manpower studies.
Objectives : This study was conducted to estimate the future demand and supply of physicians for korean medicine from 2016 year to 2026 year in order to make an adequate manpower policy in a way of keeping a balance between demand and supply. Methods : Baseline projection method and trend analysis(a polynomial log power equation model) were used in the estimation of future supply and demand respectively. We used data about the amount of oriental doctors from Ministry of Health and Welfare Statistics Yearbook and the treatment days from HIRA Statistics Yearbook. Results : It was projected that the total number of physician of Korean medicine will be 25,178 registered and 18,967 available in clinical setting. According to polynomial equation model which explained the trend of demand and had the highest score of $R^2$ among the equation models, 3,800~5,600 physician in Korean medicine will be oversupplied in 2016 year, 9,000~10,700 physicians in 2021 year and 15,700~17,000 persons in 2026 year depends on annual working days which is 265days, 255days or 239days. Log equation model also showed that overall excess supply of physician manpower in Korean medicine. Conclusions : Alternative manpower policies for Korean medicine doctors should be implemented in a way of both dwindling supplies and growing demand in Korean medical service in terms of Korean medical services utilization and improving physician's productivity.
Proceedings of the Korean Institute of Building Construction Conference
/
한국건축시공학회 2012년도 추계 학술논문 발표대회
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pp.279-280
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2012
The Construction Standard Production Unit(CSPU) has been used for the standard cost estimate in public and private construction projects. However, It is questionable if the reliability and/or authenticity of the system is acceptable due to the lack of consistent enactment and/or revision procedures. This study identifies informational conditions and issues relative to using daily work report as a data collection method for enacting and/or revising CSPU system, and establishes the measures for improving the daily work report. This study aims on the information constitution of daily job-site report, daily manpower report, wages register for specialty contractors. According to the research results, most of necessary data were included in a daily job-site report. In conclusion, it is investigated that data of daily manpower report and wage register need to be included in a daily job-site report for understanding the current state of worker in the future.
Purpose: This study aims to provide basic data for the development of measures and promoting home health nursing by examining the current status and trends in home health nursing for long-term care (LTC) insurance beneficiaries. Methods: Secondary data, including annual LTC insurance statistics reports for 2010-2017 and LTC manpower data, were used to compute current status and trends in the provision of home health nursing. Results: Beneficiaries of home health nursing under LTC insurance, insurance-covered costs for home health nursing, home health nursing provider, and home health nursing providing institution only accounted for 3% of all insurance-covered home care services, and were on a consistent decline since 2010. In particular, vulnerable rural regions with high proportion of individuals had poor infrastructure in terms of home health nursing institutions and manpower, but had a higher home health nursing utilization rate compared to urban regions. Conclusion: In addition to measures to support home health nursing service beneficiaries, policy measures are needed to support home health nursing service personnel and institutions. Furthermore, programs to cultivate the expertise of home health nurses and improve quality of home health nursing services should be developed in order to promote home health nursing utilization in vulnerable rural regions.
Background: This study is to identify the factors that affect job satisfaction, psychological ownership, and job engagement of dental hygienists on job performance and use them as basic data for manpower management of dental hygienists. Methods: The survey was conducted by 344 clinical dental hygienists working in dental medical institutions. The collected data is PASW Statistics ver. 20.0 was used to analyze. Results: The job satisfaction level of the dental hygienist was 3.38±0.52, and the question that 'I feel that my ability to solve problems has improved compared to the past.' was 3.92±0.80. There were significant differences in job satisfaction, psychological ownership, and job engagement according to general characteristics in age, marriage, education, career, current work experience, and position. There were significant differences in job performance according to general characteristics in age, marriage, education, career, current work experience, position, and number of dental hygienists. Factors influencing job performance were practical activities, income, patient relations, absorption, vigor, dedication, and the number of dental hygienists. Conclusion: Finding different ways to use psychological ownership and job engagement through the job satisfaction of a dental hygienist, and to and to utilize it as basic data for efficient manpower management through job performance.
The purpose of this study is to develop performance indicators for quality of public health center based home healthcare through the study the major factors of registrated weaken poorly residents in the community based home healthcare. Various literature review was conducted to study the performance indicators for quality of public health center based home healthcare of advanced countries and Korea. Mail survey was conducted from national wide PHC(public health centers), sub health centers and primary health care posts. of the surveys mailed, 2,293 centers(67%) were returned within the allotted and we included in the analysis these who completed the questionnaire. Data was analysed by SPSS for windows 12.0. The major results of the research were as follows; Firstly, major factors of registrated weaken poorly residents in the community based home healthcare in the multivariate analysis were jurisdictional families per manpower(OR:0.78, 95%CI:0.64-0.94, P=0.011), weaken poorly families per manpower(OR:0.42, 95%CI:0.35-0.50, P<0.001), business vehicles per manpower(OR:1.13, 95%CI:1.04-1.24, P=0.007) type of public health center(OR:4.42, 95%CI:3.32-5.90, P<0.001), region of public health center(OR:0.53, 95%CI:0.32-0.89, P=0.017). Secondly, performance indicators for quality of public health center based home healthcare were developed as basic investigation, registration, intervention and discharge level. Preparing for Activation of public health center based home healthcare in Korea, the result application as follows is possible. Firstly, we can conclude that the major factors of registrated weaken poorly residents in the community based home healthcare are jurisdictional families per manpower, weaken poorly families per manpower, type of public health center, region of public health center, business vehicles per manpower. Secondly, the new developed performance indicators which are divided into basic investigation, registration, intervention, discharge for public health center based home healthcare could be applied it for improving quality of home healthcare services.
In-Chan Kim;Jong-Hoon Kim;Jun-Hak Sim;Kang-Hee Lee;Sang-Keun Cho;Sang-Hyuk Park;Myung-Sook Hong
The Journal of the Convergence on Culture Technology
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제9권5호
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pp.415-419
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2023
The New Zealand Defence Force (NZDF) began using female manpower from World War II. After making various efforts to secure excellent manpower, the proportion of female manpower has risen to 24%, higher than that of Britain, the United States, Canada and Australia, which have a longer history of female military personnel than New Zealand. This is the result of NZDF efforts to open combat roles to women and allow female personnel to advance to high-ranking military positions such as generals and consular officers. In addition, policy alternatives to address women's realistic concerns such as pregnancy and childbirth, childcare, and vertical organizational culture were presented. In particular, Operation "Respect" was implemented to overcome the problem of not leaving or joining the army due to inappropriate sexual behavior and bullying. The operation respect established the role of the leader, emphasized the support of the victim, and accumulated data of the accident to prevent similar accidents. In addition, through the "Wāhine Toa" program, excellent female manpower could be introduced into the military through customized support considering the military life cycle (attract-recruit-retain-advance) of female personnel. South Korea is also considering expanding the ratio and role of female manpower as one of the ways to overcome the shortage of troops and leap into an advanced science and technology group. Implications were derived from the use of female manpower in the NZDF and the direction in which the Korean military should proceed was considered.
In Korea, institutions and universities to educate and train Bigdata manpower are not yet much. There are various causes, but major cause among them is lack of understanding and perception on Bigdata. Therefore, this study investigated the situation regarding the recognition on Bigdata of universities' faculties and presented a direction for educating Bigdata manpower at the university. As a result, it was investigated that their awareness about the impact of Bigdata is not so great, despite of the somewhat understanding for the Bigdata. In particular, it was investigated that their intentions of research and education for Bigdata are not high. So, for a while, it was identified that Bigdata specialist training will not be easy. In conclusion, this study suggested that the government should pay its attention more on policy for Bigdata manpower training policy of the universities according to direction of the government 3.0 policy that considers the Bigdata to the axis of the major policy.
PURPOSES : Most of the traffic surveys are carried out by an inspection method by the manpower. In some cases, the video equipment is used only in some regions when the traffic volume is surveyed. In this case, there is environmental restriction that the road equipment to fix the video equipment should exist. Also, in areas where information such as digital maps and satellite photographs is old or not provided, they are forced to rely on manpower research, but it is difficult to put huge amounts of time and money into the research in places where labor supply and demand is difficult. This difficulty is particularly pronounced in overseas business. METHODS : The purpose of this study is to improve the efficiency of business by using the drones in the traffic investigation through analysis of the cost reduction effect between the existing method and the proposed method in the overseas business traffic survey. The scope of the research is limited to the scope of research, and based on the case of overseas projects, the method of using drone for each research sector is suggested. RESULTS : In the traffic condition survey section, we propose the use of drone for traffic survey and queue length survey, and it is confirmed that there is a cost saving effect of 16% ~ 27% compared with the existing method. In the road condition survey, we propose the use of drones for road surface linear survey, geometry survey, and obstacle survey, and it was confirmed that the cost reduction effect is 39% ~ 93% compared to the existing method. CONCLUSIONS : In addition to overseas business, it is expected that it will have a positive effect on research time and cost reduction by using drone in traffic survey in domestic area where labor supply is not easy or basic data is insufficient.
Back ground: Nurses now occupy one third of all hospital human resources. Therefore, efficient management of nursing manpower is getting more important. While it is very clear that nursing workload requirement analysis and patient severity classification should be done first for the efficient allocation of nursing workforce, these processes have been conducted manually with ad hoc rule. Purposes: This study was tried to make a predict model for patient classification according to nursing need. We tried to find the easier and faster method to classify nursing patients that can help efficient management of nursing manpower. Methods: The nursing patient classifications data of the hospitalized cancer patients in one of the biggest cancer center in Korea during 2003.1.1-2003.12.31 were assessed by trained nurses. This study developed a prediction model and analyzing nursing needs by data mining techniques. Patients were classified by three different data mining techniques, (Logistic regression, Decision tree and Neural network) and the results were assessed. Results: The data set was created using 165,073 records of 2,228 patients classification database. Main explaining variables were as follows in 3 different data mining techniques. 1) Logistic regression : age, month and section. 2) Decision tree : section, month, age and tumor. 3) Neural network : section, diagnosis, age, sex, metastasis, hospital days and month. Among these three techniques, neural network showed the best prediction power in ROC curve verification. As the result of the patient classification prediction model developed by neural network based on nurse needs, the prediction accuracy was 84.06%. Conclusion: The patient classification prediction model was developed and tested in this study using real patients data. The result can be employed for more accurate calculation of required nursing staff and effective use of labor force.
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