Showing 10 results for Process
E Jazayeri Gharebagh, M Abaszadeh Ghanavati,
Volume 1, Issue 2 (2-2008)
Abstract
Background and Aim: Symptoms of the "Darkroom Disease" amongst X-ray personnel are well reported. In this study, radiographers have been compared to physiotherapists to see if there is any link between the occurrences of symptoms with processing chemicals. The aim of this study was to find the prevalence of these symptoms amongst radiographers.
Materials and methods: Sixty nine radiographers from 13 hospitals of Tehran Medical School University were compared with 72 physiotherapists from those hospitals. Respondents were asked to identify, by means of questionnaire, any of the symptoms like dermatitis, sore throat, allergy, shortness of breath etc., described as "Darkroom Disease" from which they suffer.
Results: Data provided by this work demonstrated that radiographers suffered more from shortness of breath (P=0.013 & for men P=0.045), nausea (men P=0.049), and physiotherapists suffered more from catarrh (P= 0.044 & for men P=0.046), as well as joint pain (men P=0.04).
Conclusion: The results from this preliminary work suggests that there is a link between using the processing chemicals and incidence of these symptoms like shortness of breath, nausea among radiographers (P< 0.05), and it seems that the incidence of dermatitis and the history of this disease are linked.
H Dargahi , M Ghazi Saeedi , R Safdari , M Hamedan ,
Volume 4, Issue 2 (9-2010)
Abstract
Background and Aim: The benefits of a unique computerized medical records and communication equipments is utilized to collect, storage, process, extract and relate to patient care information and management information. If this utilization is in accordance with the needs of managers and staff of medical records, many of the nation's health system problems will be dissolved. Information systems in health supply system by compiling, analyzing and publishing data provide utilization of information improve the health of the society. The purpose of this study is to investigate the process of clinical information systems in general hospitals of Tehran University of Medical Sciences based on available clinical information system in these hospitals.
Materials and Methods: This descriptive study is an application study that conducted in order to determine the process of clinical information system in general hospitals of Tehran University of Medical Sciences based on available clinical information in these hospitals. The required data have been collected by a valid and reliable questionnaire. Descriptive statistics were used to analyze data.
Results: With regard to the current condition and the importance of survey of the process of clinical information system in the studied hospitals, the authors provided the desired checklist in general hospitals with studying the related system in America, Australia and England countries, on the basis of country requirements in the form of clinical information system processes. We studied clinical information system processes in departments of admission, filling and retrieving, statistical and coding and also soft wares in this department.
Discussion and Conclusion: It is necessary to create a coordinated and integrated clinical information system with suitable process and empower experts in the field of proper use of data with regard to the position of information system in each organization and its fundamental role in the adoption of accurate policies. We found that relative frequency of clinical information system processes is more than 60% in this department and clinical information system elements was observed 75% in all the departments except admission.
Mina Azizzadeh , Shahram Tofighi , Ahmad Fayaz Bakhsh ,
Volume 8, Issue 3 (9-2014)
Abstract
Background and Aim: Nurses are major end-users of hospital information systems (HIS). Therefore their views about strengths and weaknesses of the system are important, and, if addressed, could improve the software system and, in turn, the hospital performance. The purpose of this study was to assess the nurses' perspective about the impact of HIS in Farabi Hospital on nursing process in terms of precision, accuracy and speed .
Materials and Methods: This was a cross-sectional study . Validity of the adopted questionnaire was approved by a panel of experts in the field. Its reliability was confirmed by Cronbakh-α coefficient test.
Results: Sixty one percent of responding nurses were somehow satisfied with the implemented HIS, while a remaining 30.5 percent had a complete satisfaction. Also, nurses comments on HIS showed, in general, it enhanced the effectiveness of their related processes.
Conclusion : According to the nurses, HIS has improved the speed, precision and accuracy of the processes. However, at the same time references was made to some shortcomings in the system, such as low-speed and lack of envision for some important processes, such as appropriate forms for documentation.
Alireza Soloukdar , Amir Ashkan Nasiripour, Shaghayegh Shafie Sabet,
Volume 10, Issue 6 (3-2017)
Abstract
Background and Aim: Growing the number of private institutions offering health care and fierce competitive market conditions in the private hospitals industry cause to pressure these hospitals to provide high-quality services. The purpose of this study was to examine the effect of service quality on patient satisfaction in private hospitals of the Guilan province.
Materials and Methods: Based on standard model of Büyüközkan et al (2011) a new dimension professionalism to SERVQUAL model was added that has used six dimensions including tangibles, reliability, responsiveness, assurance, empathy and professionalism as the dimensions of service quality. The number of samples was 360 patients hospitalized in four private hospitals and a standard questionnaire was used to assess the quality of services. Pearson Correlation Coefficient and Simple and Multiple Linear Regression was used to analyze the data and then by using ANOVA and Duncan’s and by Fuzzy Analytical Hierarchy Process technique, ranking of private hospitals was performed.
Results: Four dimensions: tangibles, responsiveness, empathy and professionalism on patient satisfaction have been found to be effective while Components of trust and assurance in private hospitals of the Guilan province had no significance effect.
Conclusion: Based on the effects of service quality dimensions except trust and assurance recommend that hospitals can increase patient satisfaction if they pay special attention to patient in empathy, updating facilities and technology in tangibles, fast response to patient in responsiveness, employing professional and skilled human resources in professionalism dimensions.
Mahan Mohammadi, Fatemeh Rahi, Marzieh Javadi, Golrokh Atighechian, Alireza Jabbari ,
Volume 11, Issue 2 (7-2017)
Abstract
Background and Aim: Almost one out of 10 patients who are admitted in hospitals experience “never events” while researches show that about half of these harms are preventable through the utilization of Failure Modes and Effects Analysis (FMEA). This study aims to identify and evaluate the risks of care processes in three wards of Alzahra University Hospital of Isfahan and suggest some interventions for reducing these risks.
Materials and Methods: This was a cross-sectional study, which identified high-risk processes using FMEA in respiratory, gastroenterology and rheumatologic wards of Alzahra Hospital during the years 2014-2015. The study population comprised clinical staff members who worked in these three wards and were familiar with clinical care processes. The focus group team was selected through purposive sampling method. Finally, the information was gathered in standard FMEA work sheets and analyzed with SPSS software.
Results: A total of 72 clinical care processes were identified, and the 73.5% of the focus group members rated "blood and its products transfusion process" as the most risky care process. The step "checking the incompatible of patient's information and blood lable and its products" was the most dangerous step (with PRN = 300). The findings showed that human and equipment failures were the main reasons of facing the “never events” in these wards.
Conclusion: Risk management tells us that the efficiency and quality of care can be promoted by preventing errors through human resource training and proper maintenance of medical equipment.
Neda Fazel Asl , Farhad Ghaffari, Amir Ashkan Nasiripour ,
Volume 11, Issue 5 (1-2018)
Abstract
Background and Aim: Over the recent years, patient discharge process time has been an important issue focused by so many officials. Therefore, the present study is aimed to identify the main factors with regard to the discharge process and selecting the best data-mining algorithm.
Materials and Methods: The population in question is all the patients discharged from Modarres Hospital during the first three months in the year 2014. Sampling wasn’t carried out but the number of observations has reached over 1060. Data was gathered via the researcher’s checklist while the relation between dependent and independent variants was examined and identified through T-test, Pearson Correlation Test and one-way analysis of variance. Data Mining Algorithms, in this study, were as follows: Neural Network, Support Vector Machine, Decision Tree, Simple Linear Regression.
Results: The average discharging process in the present study was 246.96 ± 3.25, which shows that among main factors concerned with discharging process, bedridden ward is considered as the most crucial. Also, according to the algorithms employed in this study, Decision Tree, with Correlation Value=0.30 and Root-Mean Square Error=103.29, was the best algorithm.
Conclusion: Results show that Data-Mining Algorithms can be employed to identify crucial factors regarding the whole discharging process and the most important factor during discharge process variable is hospitalization.
Ali Darrudi, Alireza Darrudi, Hamide Rashidian, Rajabali Daroudi,
Volume 12, Issue 1 (5-2018)
Abstract
Background and Aim: Choosing thesis topic is one of the most important decisions of postgraduate students and many factors affect such decision. This study aimed to prioritize the criteria for choosing thesis topic from Ph.D. students’ viewpoint, using the analytic hierarchy process (AHP) and ranking methods.
Materials and Methods: This analytical study was carried out on the School of Public Health PhD students of Tehran University of Medical Sciences (TUMS), who were in thesis topic selection phase. For data collection, a questionnaire was used; it consisted of three parts: demographic questions, pairwise comparison of criteria, and ranking the criteria affecting thesis topic selection. Data was analyzed using the AHP method, and descriptive and inferential statistics (Mann-Whitney).
Results: A total of 80 Ph.D. students participated in this study, of whom 43 (53.8%) were male. Based on the AHP method results, the most important criterion for thesis topic selection was the novelty of subject matter and the least important one was the location of study setting. The most important criterion based on the ranking method was the participants’ interest in the topic and the least important one was the location of study setting.
Conclusion: Although the results of the two methods used to prioritize the thesis topic selection criteria were somewhat different, based on both method results, the most important criteria from the viewpoint of School of Public Health PhD students were the novelty of subject matter, supervisor’s proficiency in it, access to required resources, and participants’ interest in subject matter.
Amin Reza Nabi Zadeh, Ali Reza Nobari,
Volume 14, Issue 5 (1-2021)
Abstract
Background and Aim: Business process management is a comprehensive management approach that aims to align all dimensions and activities of the organization in line with customer needs and automates all processes of the organization. The aim of this study was to determine the effect of business process management on the financial performance of Tehran University of Medical Sciences.
Materials and Methods: This research is an applied, descriptive and survey type and was conducted between the financial managers of Tehran University of Medical Sciences and Health Services in 2019. The research sample is 181 managers of 85 hospitals, faculties and research and development centers of the university who were selected from Cochran's formula and targeted sampling method. Data collection was done by questionnaires, in financial performance of Hernaeus et al.(2012) and business process management questionnaire, Yarmohammadian, et al.(2012). The validity of the questionnaires was confirmed by convergent and divergent validity and Cronbach's alpha reliability. In data analysis, 65.2% of male respondents, 55.49% had a master's degree or higher, 40.49% had an age of 40 years and 34.4% had more than 20 years of experience. Structural equation modeling (Smart.PLS software) was used to test the hypotheses.
Results: Correlation of index structures of guidelines and treatment procedures and electronic files with mean variance(AVE) of 0.587 and 0.823 and profitability structures of medical centers, return on investment and value added 0.737, 0.755 and 0.750, Shows sufficient and high correlation. The effect of business process management on university financial performance was confirmed as the main hypothesis with a path coefficient of 0.881 and a significant value of 15.383. Also, the effect of corrections related to guidelines and treatment procedures with financial performance with a coefficient of 0.422 and a significant value of 3.702 and corrections related to electronic records of patients with a coefficient of 0.476 and a value of 4.334.
Conclusion: Business process management system includes tools for modeling and analyzing data, integration programs, monitoring and optimization of activities that are effective in financial performance.
Hamzeh Amin-Tahmasbi, Hossein Nasirzadeh,
Volume 15, Issue 6 (3-2022)
Abstract
Background and Aim: Inattention of hospital waste management has caused many problems. As a consequence, it has put the environment and human health at serious risk. Medical centers are one of the important health institutions which in recent years, population growth, increasing clients and service populations has led to significant growth in waste production in them. The quality and quantity of medical centers waste is becoming more and more problematic and is considered as a dangerous toxic substance. The purpose of this article is to evaluate, prioritize and explain the management plan for treatment and disposal of medical centers waste.
Materials and Methods: Important criteria in choosing the method of waste disposal of medical centers were extracted from previous studies. Then, the importance of these criteria was determined using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and at the end, the best disposal method was selected using the Fuzzy Weighted Aggregated Sum Product Assessment (Fuzzy WASPAS).
Results: Among the main criteria, environmental issues was the first priority with 0.517 weight and the criteria of cost and volume of waste with the points of 0.317 and 0.166 were ranked second and third, respectively. Also, between the sub-criteria, the air pollution was ranked first with 0.256 weight. Finally, among the disposal methods, the sanitary landfill method with 0.317 weight was ranked first and the microwave methods, waste incineration and autoclave with the points of 0.265, 0.253, and 0.173 scored second to fourth respectively.
Conclusion: Considering the obtained results and prioritizing, it is possible to achieve more risk reduction, reduction of environmental pollution and reduction of costs by disposing of waste in health centers. Accordingly, the most appropriate method for disposing of waste in medical centers in the country is the “sanitary landfill” method. Of course, sanitary landfilling of waste should be done in an appropriate and standard way to prevent groundwater pollution and damage to the environment. Solving the problems caused by hospital waste is a complex and multidimensional issue that requires the cooperation and assistance and integration of community facilities (government, private and public institutions).
Seyed Mohammad Sadegh Dashti, Amid Khatibi Bardsiri, Mehdi Jafari Shahbazzadeh,
Volume 18, Issue 1 (3-2024)
Abstract
Background and Aim: Medical reports and electronic health records are critically important for diagnosis, treatment, patient protection, and medical research. Correcting spelling errors in medical texts is essential to ensure accurate interpretation of information. This research was conducted to automatically correct spelling mistakes in Persian medical texts using neural networks.
Material and Methods: In this study, which was conducted in 2023, a computational model based on artificial intelligence neural networks and dual embedding techniques was developed using Python in a Windows environment. The dual embedding model was fine-tuned for correcting spelling errors in Persian sonography texts. The proposed model employs various techniques for automatic error detection, including dictionary lookup approach and contextual similarity coefficients. Furthermore, features specific to text processing, such as Edit-Distance, along with similarity coefficients, were utilized to automatically select the most appropriate substitute for a misspelled word. The training and testing data for the current model were sourced from a collection of sonography texts from the Imam Khomeini Hospital’s sonography clinic in Tehran.
Results: The proposed model which is based on artificial neural networks, leverages a novel dualembedding architecture to select the best candidate words for correcting both non-word and real-word errors. According to the evaluation results on Persian sonography text, the proposed model achieved an F-Measure accuracy of 90.5% in detecting real-word errors. Furthermore, it demonstrated an impressive 90% accuracy in automatically correcting these real-word errors. Additionally, the model exhibited a strong performance, achieving 90.8% accuracy in correcting non-word errors.
Conclusion: Based on the evaluation results, the proposed method is robust against various changes in word forms and can effectively manage a wide range of morphological and semantic errors, including replacements, transpositions, insertions, and deletions in medical texts. The integration of EditDistance with textual similarity coefficients extracted from the dual embedding model significantly enhanced the accuracy of spelling corrections in Persian sonography texts, ensuring greater validity of such documents. The authors believe that the proposed model represents a significant advancement in the detection and correction of spelling errors in Persian sonography texts.
