In this study, we explored the potential of integrating interactive AI callbot technology into the medical consultation domain as part of a broader service development initiative. Aimed at enhancing patient satisfaction, the AI callbot was designed to efficiently address queries from hospitals' primary users, especially the elderly and those using phone services. By incorporating an AI-driven callbot into the hospital's customer service center, routine tasks such as appointment modifications and cancellations were efficiently managed by the AI Callbot Agent. On the other hand, tasks requiring more detailed attention or specialization were addressed by Human Agents, ensuring a balanced and collaborative approach. The deep learning model for voice recognition for this study was based on the Transformer model and fine-tuned to fit the medical field using a pre-trained model. Existing recording files were converted into learning data to perform SSL(self-supervised learning) Model was implemented. The ANN (Artificial neural network) neural network model was used to analyze voice signals and interpret them as text, and after actual application, the intent was enriched through reinforcement learning to continuously improve accuracy. In the case of TTS(Text To Speech), the Transformer model was applied to Text Analysis, Acoustic model, and Vocoder, and Google's Natural Language API was applied to recognize intent. As the research progresses, there are challenges to solve, such as interconnection issues between various EMR providers, problems with doctor's time slots, problems with two or more hospital appointments, and problems with patient use. However, there are specialized problems that are easy to make reservations. Implementation of the callbot service in hospitals appears to be applicable immediately.
This study analyzed the managerial efficiency of 11 organizations, the branch centers of a occupational health service organization in Korea, using the Data Envelopment Analysis (DEA) method. The DEA is a good method for evaluating health services since it can handle multiple inputs and outputs simultaneously, and also identify the sources and amount of inefficiency. The author approached this study using two efficient models: the monetary value model and the real value model. The DEA method based on the monetary value model included cost factors, while the real value model excluded cost factors. The input variables used were manpower of physicians, medical technicians, nurses, industrial hygienists and administrators; labor, maintenance, and material expenses. The output variables used were the number of medical examinations, workplace evaluations, group health management services and income from each service. The major results were as follows: First, in the monetary value model, 6 out of 11 organizations (54.6%) showed an efficiency score of 1.0, which means that they have been operating in very efficient ways. However, 5 organizations (46.4%) showed themselves to be relatively inefficient. Second, in the real value model, 7 out of 11 organizations (63.4%) showed an efficiency score of 1.0, which means they have been operating efficiently, while 4 organizations (46.4%) showed themselves to be relatively inefficient. Third, the reliability of DEA method were analyzed by comparing the results of the monetary value model and real value model. The results of 8 out of 11 organizations were same in terms of being efficient or not. Thus, the DEA could be a valid application method for occupational health service organizations. Fourth, the organizations that displayed common inefficiency in both the monetary value model and in the real value model 3, 9, and 10, were also considered to be managed inefficiency from expertise opinion. In summary, this study evaluated the efficiency of occupational health service organizations applying the DEA method with different variables, and found that the results of analysis could be valid in terms of both modeling and expert sense. In the future, the DEA method will be used as a useful tool to identify and evaluate the efficiency of occupational health service organizations through more applications and refinements.
Um, Mi Hyang;Park, Yoo Kyung;Lee, Song Mi;Cha, Jin A;Lee, Eun;Lyu, Eun Soon
Journal of the Korean Dietetic Association
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v.21
no.2
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pp.123-139
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2015
The objective of this study was to document how clinical dietitians working at tertiary hospitals spend their time based on several categories of activities using a time measurement study. The questionnaires were distributed to 14 tertiary hospitals, and dietitians answered by classifying their work activities into several categories such as general care, indirect care, direct care, outpatient care, and food service management. A total of 129 clinical dietitians replied and their answers were analyzed according to the categories of activities. The times spent on the categories are as follows: general care (76.7 mins/day, 14%), indirect care (228.4 mins/day, 35%), direct care (120.1 mins/day, 22%), outpatient care (61.5 mins/day, 11%), and food service management (99.0 mins/day, 18%). The total working hours for dietitians was 590.0 mins, which exceeds the standard working hours of 540.0 mins (9 hrs) a day. From this study, we found that clinical dietitians spent very limited time on direct care. Times spent on activities were different according to type of employment and food service. Internship dietitians spent their more time on general care (P<0.001) while irregular dietitians spent more time on outpatient care (P<0.05). In contracted managed food service hospitals, clinical dietitians spent significantly less time on food service management (P<0.001). Regardless of doctors' order and consultation fees, clinical dietitians performed more than 95 percent of free consultation to patients. Entry-level knowledge and skills of dietitians working at hospitals are very important for quality service, but it is equally important to create an administrative and social environment that encourages clinical dietitian to spend more time on direct patient care.
Journal of the Korea Society of Computer and Information
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v.16
no.9
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pp.131-143
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2011
Previous alerting service based on LBS was caused severe overload problem of server by using the method to confirm the location of each moving object on server. In this paper, by loading an App on smart moving object, we proposed a novel algorithm named ADAS(Active Disaster Alert Service) for accessing to the server site with oneself location information as needed and implemented the disaster alerting service system with visualization for user. In the proposed method, running App access to the server periodically with the present location coordinate gained from GPS module or network module and the ID of moving object. Then, the server compare the present location coordinate of moving object and the coordinates of disasters registered in DIDB and transmit the n NDIs existed in near distance orderly from the coordinate of present moving object to the client. The App compares the coordinate of present location for moving object and the coordinates of NDI is transmitted from server by real time and executes the service with classifying levels of alert into three steps such as danger, carefulness and safety. And new NDIs are gained by accessing DIDB on Server periodically during running App. Therefore, this will be become a novel method for reducing fundamentally the server overload problem in comparison with previous alerting service that the career of moving object is managed on server.
The Journal of Korean Society for School & Community Health Education
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v.12
no.1
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pp.59-70
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2011
Methods: This study was performed to estimate the use of frozen convenience food in middle schools located in the Daegu district. Objectives: These schools have directly managed school meal services. The subjects for this study were 145 students and 66 dieticians. The study involved a survey on food preference and quantity satisfaction of the students and the frequency of use of frozen convenience food in the daily menu. Results: As the result, 50.0% of the students were not satisfied with the meat and poultry quantity from school meals(felt small), and 25.0% of students were not satisfied with vegetables(felt much). The majority of students (50.7%) who were not satisfied with vegetables said they were dissatisfied with the school food because of the taste. On the other hand, 36.6% said they were dissatisfied because they dislike vegetables in general. As for the use and frequency rate of frozen convenience food, the survey results were revealed in the order of dumpling 58.3% > processed meat 50.0% > chicken 50.0% > frozen marine food 40.4% > cuttlefish 30.3% > miscellaneous 26.3% > vegetable & potatoes 14.4%. It was found that many schools employing more than five workers did not use flour-based frozen foods in their menu. As for the use of the frozen processed food, many schools which had an average food cost of more than 1,700 Won were found to use frozen foods more than once a month. In addition, chicken was not used often at the schools whose average food cost was less than 1,500 Won while many schools, whose average food items cost was more than 1,500 Won, incorporated chicken into the menu once a month. Processed flour food [hot dog] was used often by schools whose average food cost was between 1,500 Won and 1,600 Won. As for the actual conditions of using frozen convenience food, there was a significant difference in the use of chicken in relation with the number of food service recipients. As a result, the use of frozen convenience food has been shown to be related with food cost, number of food preparers, and the number of school students.
ENUM(tElephon NUmbering Mapping) is protocol that brings convergence between PSTN Networks and IP Networks using a unique worldwide E.164 telephone number as an identifier between different communication infrastructure. The mechanism provides a bridge between two completely different environments with E.164 number; IP based application services used in PSTN networks, and PSTN based application services used in IP networks. We propose a new way to organize and handle ENUM Tier 2 name servers to improve performance at the name resolution process in ENUM based application service. We build an ENUM based network model when NAPTR(Naming Authority PoinTeR) resource record is registered and managed by area code at the initial registration step. ENUM promises convenience and flexibility to both PSTN and IP users, yet there is no evidence how much patience is required when users decide to use ENUM instead of non-ENUM based applications. We have estimated ENUM response time, and proved how to improve performance up to 3 times when resources are managed by the proposed mechanism. The proposition of this thesis favorably influences users and helps to establish the policy for Tier 2 name server management.
Journal of the Economic Geographical Society of Korea
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v.1
no.2
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pp.71-84
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1998
Health has been seen as a resource necessary for both maintaining oneself and for living in a society pursuing high quality of life. Therefore, the medicare provision takes place of one of the most significant indexes for evaluating the regional welfare level. The purpose of this study is to investigate the locational characteristics of medicare service facilities. For the purpose, the distribution patterns of the medicare resources are analyzed both at the regional and local scales. The medicare resources are concentrated at the Metropolitan Seoul area in the regional scale, and they are also concentrated at the economic core areas in the local scale. Especially, higher level medicare resources, such as the general hospitals and medical specialists, show more concentration at the economic core areas than lower level services. This means that access to opportunities to receive higher level medicare is poorer in a more socially disadvantaged area. Since medicare service facilities are invested and operated by both private and public sectors, whose locational mechanisms are deferent, we analyzed the distribution patterns. Most medicare facilities are invested and managed by private sector in Korea, which is operated by market mechanism. This is related with the fact that the medicare facilities are concentrated at the economic core areas. The proportion of private sector is higher in the Metropolitan Seoul area, and thus this region shows stronger spatial disparity of medicare provision. In general, the medicare service facilities are located in the hierarchical structure, and thus the services levels and facility scales are differentiated by the hierarchy. We examined the hierarchical structure in the medicare service facilities in Korea. The referral medicare system has been applied with the assumption of the three level hierarchical structures in Korea. However, we could not find any distinct hierarchical structure in the scales of the medical service facilities.
This study investigated ginseng growth and ginsenoside contents after control a reserved ginseng cultivation land using various green manure crops for stable ginseng cultivation. Followings are results obtained from this research. After cultivate the green manure crops, microbial flora in soil was diversified, organic matter and total-N content increased, but salt content decreased. The highest output obtained from the wheat cultivated area among various green manure corps. Growth of shoot and root of two years old ginseng increased significantly at the green manure crop cultivated area. Specially, the wheat cultivated area was the most effective in growth. Also, the rate of the leaf discoloration at the aerial part and the rusty root at the root was the least at the wheat cultivation area. Meanwhile, the ginsenoside content was the most at the wheat cultivation area. Thus, the reserved ginseng cultivation land could be managed by cultivating wheat for effective ginseng growth.
KIPS Transactions on Computer and Communication Systems
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v.11
no.3
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pp.73-82
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2022
Auto-scaling is one of the most important functions for cloud computing technology. Even if the number of users or service requests is explosively increased or decreased, system resources and service instances can be appropriately expanded or reduced to provide services suitable for the situation and it can improves stability and cost-effectiveness. However, since the policy is performed based on a single metric data at the time of monitoring a specific system resource, there is a problem that the service is already affected or the service instance that is actually needed cannot be managed in detail. To solve this problem, in this paper, we propose a method to predict system resource and service response time using a multivariate time series analysis model and establish an auto-scaling policy based on this. To verify this, implement it as a custom scheduler in the Kubernetes environment and compare it with the Kubernetes default auto-scaling method through experiments. The proposed method utilizes predictive data based on the impact between system resources and response time to preemptively execute auto-scaling for expected situations, thereby securing system stability and providing as much as necessary within the scope of not degrading service quality. It shows results that allow you to manage instances in detail.
KSCE Journal of Civil and Environmental Engineering Research
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v.44
no.1
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pp.101-108
/
2024
The total number of railroad stations managed in Korea is 322 (including general and wide-area railways), and a considerable number of stations are aging. In terms of the size of the existing railway station and the number of entrances, it has not been possible to secure adequate service capacity, and the demand for station improvement is increasing due to changes in surrounding conditions such as urban development. In the past, railroad stations were focused on the simple function of a connection passage in terms of maintenance or management, but in recent years, railroad stations are also changing to an atmosphere that they should be reborn as a user-centered comfortable, convenient, and safe service provision space. In this study, a case study related to the improvement of the old railway station was conducted to derive an improvement plan that meets the improvement standard of the old station, and the service level evaluation standard was developed. By introducing the concept of service level (LOS) in the development model, station congestion, station movement convenience, and station safety were selected as evaluation indicators. In addition, this development model applied an analytical stratification technique to divide various evaluation elements of each indicator into major and detailed elements and derive the relative importance of the elements by class. Priority for improvement was derived using the ratio of the number of E and F on the LOS for each facility. Based on this study, it is expected to be helpful in using it as an evaluation criterion for improving objective and equitable railway station.
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