فهرست مطالب

Journal of Health Management and Informatics
Volume:4 Issue: 1, Jan 2017

  • تاریخ انتشار: 1395/12/14
  • تعداد عناوین: 5
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  • Zahra Roozbahani, Jalal Rezaei Noor, Mansoureh Yari Eili, Ali Katanforoush Pages 1-6
    Introduction
    Cancer is a major cause of mortality in the modern world, and one of the most important health problems in societies. During recent years, research on cancer as a system biology disease is focused on molecular differences between cancer cells and healthy cells. Most of the proposed methods for classifying cancer using gene expression data act as black boxes and lack biological interpretability. The goal of this study is to design an interpretable fuzzy model for classifying gene expression data of Lymphoma cancer.
    Method
    In this research, the investigated microarray contained 45 samples of lymphoma. Total number of genes was 4026 samples. At first, we offer a hybrid approach to reduce the data dimension for detecting genes involved in lymphoma cancer. In lymphoma microarray, six out of 4029 genes were selected. Then, a fuzzy interpretable classifier was presented for classification of data. Fuzzy inference was performed using two rules which had the highest scores. Weka3.6.9 software was used to reduce the features and the fuzzy classifier model was implemented in MATLAB R2010a. Results of this study were assessed by two measures of accuracy and precision.
    Results
    In pre-processing stage, in order to classify gene expression data of Lymphoma, six out of 4026 genes were identified as cancer- causing genes, and then the fuzzy classifier model was applied on the obtained data. The accuracy of the results of classification was 96 percent using 10 rules with the highest scores and that using 2 rules with the highest scores was about 98 percent.
    Conclusion
    In the proposed approach, for the first time, a fully fuzzy method named a minimal rule fuzzy classification (MRFC) was introduced for extracting fuzzy rules with biological interpretability and meaning extraction from gene expression data. Among the most outstanding features of this method is the ability of extracting a small set of rules to interpret effective gene expression in cancer patients. Another result of this approach is successfully addressing the problem of disproportion between the number of samples and genes in microarrays with the proposed Filter-Wrapper Feature Selection method (FWFS).
    Keywords: Lymphoma Cancer, Cancer Diagnosis, Microarray, Gen Expression, Fuzzy Classifier
  • Vahid Keshtkar, Meisam Bazgir, Mehrdad Anvar Pages 7-11
    Introduction
    Around the world, a large number of projects have been developed with the aim of assessing patient satisfaction especially in hospitals. As an important indicator of the quality of health care system, Patients’ perception of health care has been the center of attention over the recent 20 years.
    Method
    402 patients who were hospitalized in teaching hospitals affiliated to the Shiraz University of Medical Sciences were investigated. Patients’ satisfactions of the health care services were assessed using the translated and modified version of the KQCAH consisted of 44 questions divided to7 categories of Respect and Caring, Effectiveness and Continuity, Appropriateness, Information, Efficiency, Meals, First Impression, Staff Diversity. All of the patients were asked to fill out the questionnaire (with written informed consents) at the time of discharge from the hospitals.
    Results
    Regarding total score of patient satisfaction the ISO-certified hospitals did not show advantages over the uncertified hospitals. The total score of patients’ satisfaction ranged from 66.5 to 77.5 in. Overall, only in one ISO-certified hospital the total score of patient satisfaction representing all dimensions, was significantly higher comparing to other hospitals included in the study.
    Conclusion
    It seems that solitary application of ISO standards could not improve patient satisfaction in hospitals affiliated to Shiraz University of Medical Sciences.
    Keywords: ISO, Patient satisfaction, Teaching hospitals
  • Mohtaram Nematolahi, Mojtaba Kafashi, Roxana Sharifian, Hossein Monem Pages 12-16
    Introduction
    Users’ behavioral intention to use the Picture Archiving and Communication System (PACS) is important in the systems’ success and is an indicator of the users’ satisfaction with commitment and dependence on information systems. The present study aimed to evaluate the users’ continuous intention to use PACS based on the expectation confirmation model in educational hospitals of Shiraz University of Medical Sciences.
    Method
    This cross-sectional study was conducted in Nemazee and Shahid Faghihi hospitals, Shiraz, Iran in 2014. The subjects were 50 general practitioners, residents and specialists selected through stratified random sampling. The study data were collected using a researcher-made questionnaire. The content validity of the questionnaire items was confirmed by five experts in health information management. To evaluate the accuracy of relationships among the measurement models, reliability criteria, including Cronbach’s alpha and composite reliability, convergent and divergent validity were used which showed acceptable reliability and validity. The data were entered into Smart PLS software, version 3.1.9 and analyzed through Structural Equation Modeling (SEM) by using Partial Least Squares (PLS) approach.
    Results
    The results showed appropriate fitness of reliability indices (Cronbach’s alpha >0.7, composite reliability >0.7, loading >0.7), validity indices (AVE >0.5), structural model (redundancy =0.395, Q2CI=0.364, f2H5=0.524, R2CI=0.687), and the total model (GoF=0.518). Moreover, all the research hypotheses, except H1 (the relationship between expectation confirmation and perceived usefulness) with T-value of 1.96).
    Conclusion
    Expectation confirmation, perceived usefulness, and satisfaction were effective in continuous intention to use PACS. Thus, these factors should be considered by designers, developers, and managers while designing and implementing information systems to guarantee their success and improve the quality of health services.
    Keywords: Information Systems, Expectation confirmation model, PACS, Satisfactio
  • Hamed Rahimi, Zahra Kavosi, Payam Shojaei, Erfan Kharazmi Pages 17-24
    Introduction
    Performance measurement is receiving increasing verification all over the world. Nowadays in a lot of organizations, irrespective of their type or size, performance evaluation is the main concern and a key issue for top administrators. The purpose of this study is to organize suitable key performance indicators (KPIs) for hospitals’ performance evaluation based on the balanced scorecard (BSC).
    Method
    This is a mixed method study. In order to identify the hospital’s performance indicators (HPI), first related literature was reviewed and then the experts’ panel and Delphi method were used. In this study, two rounds were needed for the desired level of consensus. The experts rated the importance of the indicators, on a five-point Likert scale. In the consensus calculation, the consensus percentage was calculated by classifying the values 1-3 as not important (0) and 4-5 to (1) as important. Simple additive weighting technique was used to rank the indicators and select hospital’s KPIs. The data were analyzed by Excel 2010 software.
    Results
    About 218 indicators were obtained from a review of selected literature. Through internal expert panel, 77 indicators were selected. Finally, 22 were selected for KPIs of hospitals. Ten indicators were selected in internal process perspective and 5, 4, and 3 indicators in finance, learning and growth, and customer, respectively.
    Conclusion
    This model can be a useful tool for evaluating and comparing the performance of hospitals. However, this model is flexible and can be adjusted according to differences in the target hospitals. This study can be beneficial for hospital administrators and it can help them to change their perspective about performance evaluation.
    Keywords: Hospital, Balanced scorecard, Performance, Indicator
  • Ebrahim Parcham, Alireza Ghasemizad Pages 25-30
    Introduction
    Organizational Culture is one of the most important factors that can change the climate of silence. The main aim of this research was to investigate the influence of organizational culture on employees’ organizational silence in Shiraz University of Medical Sciences.
    Method
    This research was a descriptive-correlation one. The target population was chosen from 1900 staff of the University of Medical sciences and Health Care headquarter in Shiraz. Thus 311 employees were selected using the Krejcie and Morgan sampling table. The instrument used in this research was Denison (2006) organizational culture questionnaire and Dimitris Buratas and Maria Vacula (2007) organizational culture. Cornbrash’s alpha method was used to calculate the reliability. The Item analysis and expert consensus were applied to calculate the validity of instruments. All gathered data analyzed with PLS software.
    Results
    The results showed that the four dimensions of organizational culture include organizational involvement, organizational adaptability, organizational concistency and organizational mission was moderate and the mean scores obtained for each factor were 2.85, 2.82, 2.94 and 2.93 respectively. Structural equation model showed Organizational culture has a significant positive impact on organizational silence (β=0.68; P
    Conclusion
    Based on the results and impact of organizational culture on organizational silence that is positive and significant; The organization further efforts to strengthen various aspects of organizational culture, especially the employees’ involvement in decision making; Employees can better express their opinions and thus reduced their organizational silence. In other words strengthening corporate culture is combined with the reduction of organizational silence. Medical organizations can establish appropriate reward system for creative ideas and suggestions to encourage people express their ideas As a result, reduced organizational silence.
    Keywords: Organizational culture, Organizational silence, Structural equation model, Shiraz University of Medical Sciences