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Background and Aim: Annually, large amounts of fees that paid by hospitals will not be reimbursed as deductions by health insurances and takes irreparable financial losses to hospitals. The purpose of this study was to determine the amount of deductions imposed on hospital bills of Tehran University of Medical Sciences and their causes related to documentation.

Materials and Methods: The present research was a cross-sectional and descriptive study performed in year 2009 on educational hospitals of Tehran University of Medical Sciences. All deductions reports related to Medical Services and Social Insurance related to year 2008 was collected from Income Unit of hospitals. The amount of deduction of each hospital was extracted and organized in the form of comparative tables. Data was analysed by descriptive statistics and Excel application. Then, the amount, type and causes of annually deduction of each hospital was determined.

Results: Most deductions imposed on inpatient bills have been related to the tests, appliances, medicine, residency, surgeon commission, and anesthesia and for outpatient bills have been related to visit, tests and medicine which most of them have been created due to documentation deficiencies.

Conclusion: Most of deductions are due to unfamiliarity of care staff with documentation requirements of insurance organizations. Therefore it is necessary to use a multi-aspect mechanism including education of documentation principles to staff, supervision on record control in the Medical Record Unit and establishment of a committee by university for related activities.

 Background and Aim: The quality of health record depends on the quality of its content and proper documentation. Minimum data set makes a standard method for collecting key data elements that make them easy to understand and enable comparison. The aim of this study was to determine the minimum data set for Iranian athletes’ health records.

 Materials and Methods: This study is an applied research of a descriptive - comparative type which was carried out in 2013. By using internal and external forms of documentation, a checklist was created that included data elements of athletes health record and was subjected to debate in Delphi method by experts in the field of sports medicine and health information management.

 Results: From 97 elements which were subjected to discussion, 85 elements by more than 75 percent of the participants (as the main elements) and 12 elements by 50 to 75 percent of the participants (as the proposed elements) were agreed upon. In about 97 elements of the case, there was no significant difference between responses of alumni groups of sport pathology and sports medicine specialists with medical record, medical informatics and information management professionals.

 Conclusion: Minimum data set of Iranian athletes’ health record with four information categories including demographic information, health history, assessment and treatment plan was presented. The proposed model is available for manual and electronic medical records.

Background and Aim: Heterogeneous insertion of Organizational affiliations can cause loss of ranking points in the national and international levels. So, we decided to investigate the different affiliations of Shahid Beheshti University of Medical Sciences in scientific publications that indexed in Web of Science and their effect on the result of research activities evaluation in the year 2012.
Materials and Methods: Methodology of this study is bibliometric approach with descriptive survey. The study included 1139 scientific production of Shahid Beheshti University of Medical Sciences that indexed in Web of Science in the first one in April 2011 to April 2012. 
Results: 1139 articles indexed in the Web of Science, 94/38% in the evaluation of the research activities of the ministry of health have been scored and 5/61% failed. Among the unsuccessful papers 1/01%, had been inserted affiliation incorrectly. One-sample t-test showed that the mean score of 1/01% has no significant statistical impact on the total average rating of products indexed in Web of Science.
Conclusion: Investigation showed that standard insertion of affiliation has impact on enterprise University Ranked and University status at the international level.