@article { author = {Jafari, Abdosaleh and Rezaee, Rita}, title = {Evaluation of socio-economic factors affecting the demand for health}, journal = {Health Management & Information Science}, volume = {1}, number = {2}, pages = {24-27}, year = {2014}, publisher = {Shiraz University of Medical Sciences}, issn = {2783-302X}, eissn = {2783-302X}, doi = {}, abstract = {Introduction: Individual health has been proved to be under the influence of various factors such as the use of health care services, diet, smoking and alcohol, physical environment, and health-related behaviors. Therefore, the main determinants of health are factors such as income, education, and access to health services, and systematic changes in these factors lead to socio-economic injustice in health. The present study was carried out through library and internet search. Medline and Google Scholar databases were also utilized.Combining Contents and Results: According to the present study, an increase in health input expenses would inevitably lead to aggravation of the health situation and decrease in income would result in the worst health status of the poor. Moreover, people with higher education use less health inputs; however, they enjoy higher status than those with lower educational levels.Conclusion: Health demand approach provides only a part of the information needed for policy-makers and decision-makers in health system. Theoretical and empirical analyses of the health claim could indicate that policy actions are likely to be more effective in overcoming barriers to health but are not capable of determining which one is likely to be more cost-effective . The demand for information about the health only provides the necessary tools about the benefits of special policy making decisions. So the tool should be combined with other techniques including cost-effectiveness and cost-benefit analyses.Keywords: Health care demand, Injustice in health, Health production}, keywords = {}, url = {https://jhmi.sums.ac.ir/article_42616.html}, eprint = {https://jhmi.sums.ac.ir/article_42616_8057a2de82ece7c020cc4f8d1a5bae4f.pdf} } @article { author = {Raeesi, Ahmad and Ebrahimi, Saeed and Irfan Nia, Leila and Arji, Goli and Askani, Moslem}, title = {An investigation of data mining techniques of the performance of a decision tree algorithm for predicting causes of traumatic brain injuries in Khatamolanbya Hospital in Zahdan city, 2012 to 2013}, journal = {Health Management & Information Science}, volume = {1}, number = {2}, pages = {28-30}, year = {2014}, publisher = {Shiraz University of Medical Sciences}, issn = {2783-302X}, eissn = {2783-302X}, doi = {}, abstract = {Introduction: The aim of this study was to determine the performance of data mining techniques for predicting the causes of traumaticbrain injuries in Khatamolanbya hospital, Zahdan city.Method: In this cross–sectional, the study population included all patients who died of brain injury. Data were collected by the use of aresearcher- made check list, provided under the direct observation of authorities in this area and analyzed by the data mining softwareof Clementine 12.0.Results: According to the results of this algorithm, C5.0 decision tree algorithm has an accuracy of 81.4 percent, the highest precision;then, the algorithm is C & R(The Classification and Regression) with 77.8 percent.Conclusion: Overall, it can be concluded from the decision tree algorithm that age is one of the leading causes of traumatic braininjuries . The results showed that all the cases involving traumatic lesions of the brain lead to the patient’s death.. Although in somealgorithms, some of the variables are important, they cannot be used alone as the main variable to be taken into account for the deathof the patient.Keywords: Data mining, Prediction of the factors of traumatic brain injuries}, keywords = {}, url = {https://jhmi.sums.ac.ir/article_42617.html}, eprint = {https://jhmi.sums.ac.ir/article_42617_ec536d7c64e135326a7e4e1d50202252.pdf} } @article { author = {Motamedi, Fatemeh and AleTaha, Azadeh and Bahaadini, Kambiz}, title = {The clinical librarians and information professionals’ role in tele-medicine: assisting the general practitioners working in rural areas of Kerman Province in the treatment process}, journal = {Health Management & Information Science}, volume = {1}, number = {2}, pages = {31-35}, year = {2015}, publisher = {Shiraz University of Medical Sciences}, issn = {2783-302X}, eissn = {2783-302X}, doi = {}, abstract = {Introduction: Over the last decade, the role of clinical librarians in assisting general practitioners to provide better health care has been proved. Rapid progress in telecommunication technology has emerged this question. Could clinical librarians be able to assist general practitioners working in rural and remote areas through Information and communication technologies? This project sought to evaluate whether clinical librarians are able to provide accurate and updated information to physicians.Method: Twenty general practitioners working in non rural working in remote areas of Kerman were requested to ask clinical librarians 5 questions through a phone line each over the period of two months whenever they felt they need to have more information on a matter related to their practice. Then all questions and answers were evaluated by expert medical specialists and pharmacists who were academic staff of Kerman University of Medical Sciences . Clinical librarians’ role was also evaluated by an electronic questionnaire sent to general practitioners.Results: Over 80 percents of the answers were evaluated as perfect and 10 percent as good. Only 10 percent of the answers were scored as wrong.Conclusion: Clinical librarians are able to provide reliable information to remote and rural physicians, The fact which has been also verified by the specialists. However, clinical librarians need to improve their English language and their knowledge about online search strategies and basic medication. Telecommunication infrastructure and suitable internet speed for online search by librarians are very important.Keywords: Clinical librarian and information professional, Telemedicine, Tele clinical librarian, Deprived areas, EBM(Evidence Based-Medicine), Remote health centers, General physicians(GPs)}, keywords = {}, url = {https://jhmi.sums.ac.ir/article_42620.html}, eprint = {https://jhmi.sums.ac.ir/article_42620_52a3c4eabddf5f3ad542683770d6e454.pdf} } @article { author = {Moghaddasi, Hamid and Rabiei, Reza and Sadeghi, Nasrin}, title = {Improving the quality of clinical coding: a comprehensive audit model}, journal = {Health Management & Information Science}, volume = {1}, number = {2}, pages = {36-40}, year = {2014}, publisher = {Shiraz University of Medical Sciences}, issn = {2783-302X}, eissn = {2783-302X}, doi = {}, abstract = {Introduction: The review of medical records with the aim of assessing the quality of codes has long been conducted in different countries. Auditing medical coding, as an instructive approach, could help to review the quality of codes objectively using defined attributes, and this in turn would lead to improvement of the quality of codes.Method: The current study aimed to present a model for auditing the quality of clinical codes. The audit model was formed after reviewing other audit models, considering their strengths and weaknesses. A clear definition was presented for each quality attribute and more detailed criteria were then set for assessing the quality of codes.Results: The audit tool (based on the quality attributes included legibility, relevancy, completeness, accuracy, definition and timeliness); led to development of an audit model for assessing the quality of medical coding. Delphi technique was then used to reassure the validity of the model.Conclusion: The inclusive audit model designed could provide a reliable and valid basis for assessing the quality of codes considering more quality attributes and their clear definition. The inter-observer check suggested in the method of auditing is of particular importance to reassure the reliability of coding.Keywords: Quality, Clinical codes, Audit model, Audit tool, Data quality attributes}, keywords = {}, url = {https://jhmi.sums.ac.ir/article_42618.html}, eprint = {https://jhmi.sums.ac.ir/article_42618_0a17dd1a924362715a9c9121cae54bae.pdf} } @article { author = {Bayati, Mohsen and Kharazmi, Erfan and Javanbakht, Mehdi and Sadegi, Aboozar and Arefnejad, Masud and Vahedi, Sajad and Esmaeilzadeh, Firooz}, title = {Optimization the number of nurses in the emergency department using linear programming technique}, journal = {Health Management & Information Science}, volume = {1}, number = {2}, pages = {41-45}, year = {2014}, publisher = {Shiraz University of Medical Sciences}, issn = {2783-302X}, eissn = {2783-302X}, doi = {}, abstract = {Introduction: Aim of current study is determination of optimal number of nurses in the emergency department of Shiraz Ali Asghar Hospital.Method: Current study is an applied study and belongs to operational research (OR) studies. The population has been studied in this research, includes records of referred patients to the emergency department of hospital in 2008. Sampling was performed in the forms of stratified (monthly) and simple for all of the records and each of months respectively. Required data collection was performed from statistics notebook and also patient’s records using data collection forms. After average determination of entering patients in a day at eight period in three hours, determining the type of provided services and also the period of offering nursing services ( with using time information)determine optimum number of required nurses in different periods of hospital with using of linear programming technique by lingo 8 software.Results: The minimum number of nurses needed in emergency department of Ali Asghar hospital regarding to desired services to the patients were obtained 1 and 3 nurses for each shift and a day respectively.Conclusion: According to the results the used number of nurses in the emergency department was more than optimum number. It seems that, obtained number of nurses from quantitative methods such as linear programming technique is much less than the calculated number experimentally by the directors of nursing.Keywords: Linear programming, Nursing services, Emergency department, Number of nurses}, keywords = {}, url = {https://jhmi.sums.ac.ir/article_42619.html}, eprint = {https://jhmi.sums.ac.ir/article_42619_bd793aefb93a166803afe9f5cb8a46bb.pdf} }