1,720,960 research outputs found
Layout design of outpatient department: simulation study and implementation
No full textBackground: Hospital layout is one important factor affecting hospital service quality and, consequently, patient satisfaction. Generally, the layout is designed based on the experience of the hospital specialists without any systematic approaches. Purpose: Due to the increasing number of patients, the case study hospital has built a new multi-floor building to move its Outpatient Department (OPD) to operate there. Therefore, this study aims to apply the Activity Relationship Analysis (ARA) and simulation to design a new OPD layout. Methodology: Data of the previous system were analyzed using the ARA. The results were then used to design three scenarios (A, C, and D) and the other three scenarios (B, E, and F) were proposed by hospital specialists. Then, six layouts were evaluated using simulation tests and the efficiencies of the designs were measured by an average total service time per patient. Results: The simulation results showed that the average total service time of scenario A, D, E, and F were lower than scenario B and C. While the average total service time at the sub-service unit of D was the longest compared to scenario A, E, and F. These results demonstrated that scenario A, E, and F were the most efficient layouts. However, when considered thoroughly by the hospital specialists, scenario A was eventually selected. Conclusion: This study can contribute to scientific literature as it demonstrates the application of the ARA and simulation in the design of the multi-floor layout, an aspect under-researched in existing studies. This study also provides the practical implication suggesting that these techniques should be used together in the layout designs because they can help to determine the correctness and efficiency of the layout design before actual implementation
Poprawa systemu opieki zdrowotnej na przykładzie sieci szpitali w górnym północnym regionie Tajlandii
No full textCleft lip and/or cleft palate are the most common craniofacial congenital disability, with an estimated 2 affected babies born per thousand in Thailand. Chiang Mai University Craniofacial (CMU CF) center plays a role as the one-stop service providing this type of healthcare. This center serves as the coordinator between hospitals in the treatment network and patients. This research aims to reduce the delays throughout the patients’ treatment plan of the case study hospital as one of the hospitals in this network. Starting with problem identification, two treatment steps, including hearing testing (ABR/OAE) and Cheiloplasty, were 80% of the total delay from the data collection. Then, Root-cause analysis was conducted by interviewing specialists and studying patients’ documents. The main cause of delays was that the patients needed to be transferred from rural hospitals in the area to the hospital that is the subject of our case study. The supporting operations that help in serving patients need co-working operations between the case study hospital and the CMU CF center. Supporting operations including 4 parts were studied and improved based on the Lean concept. Standard procedures were set up when non-value-added activities were eliminated, and value-added activities were improved by IT solution implementation. Finally, when the supporting operations were performed via an IT solution, the processing time can be reduced. Moreover, the implementation of an IT solution helps in tracking and monitoring patients’ status – this advantage leads to a reduction in the number of delayed patients and a reduced delay time in the treatment plan.Rozszczep wargi i/lub rozszczep podniebienia to najczęstsze wrodzone wady twarzoczaszki. Szacuje się, że w Tajlandii corocznie ten problem dotyka dwóch spośród tysiąca dzieci. Centrum Twarzoczaszki Uniwersytetu Chiang Mai (CMU CF) realizuje kompleksową obsługę opieki zdrowotnej w tym zakresie. Ośrodek ten pełni także funkcję koordynatora wśród szpitali leczących tę dolegliwość. Niniejsze badanie ma na celu zmniejszenie opóźnienia w realizacji planów leczenia pacjentów i jest studium przypadku jednego ze szpitali w sieci. Na drodze przeprowadzonej identyfikacji problemu stwierdzono, że dwa etapy leczenia, w tym badanie słuchu (ABR/OAE) i cheiloplastyka, stanowiły 80% całkowitego opóźnienia spośród zgromadzonych danych. Następnie wykonano analizę przyczynową, przeprowadzono wywiady ze specjalistami i zbadano dokumentację pacjentów. Głównym powodem opóźnienia procesu leczenia okazało się przenoszenie pacjentów z innych szpitali na obszarach wiejskich do badanego szpitala. W szczególności newralgiczne okazały się czynności pomocnicze, które służą obsłudze pacjentów i wymagają współpracy pomiędzy badanym szpitalem a ośrodkiem CMU CF. Czynności te, obejmujące cztery fazy, zostały zbadane i udoskonalone na podstawie koncepcji Lean. Ustalono standardowe procedury, wyeliminowano działania nieprzynoszące wartości i usprawniono te, które przynoszą wartość, przez wdrożenie rozwiązania informatycznego. Ostatecznie ustalono, że gdy czynności pomocnicze są realizowane za pośrednictwem rozwiązania informatycznego, czas przetwarzania może ulec skróceniu. Ponadto wdrożenie rozwiązania informatycznego pomaga w śledzeniu i monitorowaniu stanu pacjenta, co prowadzi również do zmniejszenia liczby opóźnionych pacjentów i skrócenia czasu opóźnienia w stosunku do założonego planu leczenia
Shallot Price Forecasting Models: Comparison among Various Techniques
No full textShallot is one of several horticultural products exported from Thailand to various countries. Despite an increase in shallot prices over the years, farmers face challenges in price forecasting due to fluctuations and other relevant factors. While different forecasting techniques exist in the literature, there is no universal approach due to varying problems and datasets. This study focuses on predicting shallot prices in Northern Thailand from January 2014 to December 2020. Traditional and machine learning models, including ARIMA, Holt-Winters, LSTM, and ARIMA-LSTM hybrids, are proposed. The LSTM model considers temperature and rainfall as influencing factors. Evaluation metrics include RMSE, MAE, and MAPE. Results indicate that the ARIMA-LSTM hybrid model performs best, with RMSE, MAE, and MAPE values of 10.275 Baht, 8.512 Baht, and 13.618%, respectively. Implementing this hybrid model can provide shallot farmers with advanced price information for informed decision-making regarding cultivation expansion and production management
Shallot Price Forecasting Models: Comparison among Various Techniques
No full textShallot is one of several horticultural products exported from Thailand to various countries. Despite an increase in shallot prices over the years, farmers face challenges in price forecasting due to fluctuations and other relevant factors. While different forecasting techniques exist in the literature, there is no universal approach due to varying problems and datasets. This study focuses on predicting shallot prices in Northern Thailand from January 2014 to December 2020. Traditional and machine learning models, including ARIMA, Holt-Winters, LSTM, and ARIMA-LSTM hybrids, are proposed. The LSTM model considers temperature and rainfall as influencing factors. Evaluation metrics include RMSE, MAE, and MAPE. Results indicate that the ARIMA-LSTM hybrid model performs best, with RMSE, MAE, and MAPE values of 10.275 Baht, 8.512 Baht, and 13.618%, respectively. Implementing this hybrid model can provide shallot farmers with advanced price information for informed decision-making regarding cultivation expansion and production management
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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