Purpose - Clarifying one of the biggest public Hospital Costs and incomes according to patients’ case mix. It leads to prepare financial information about pubic medical tariffs and hospital operational costs. Research design, data, and methodology - This study calculates the costs both, with and without taking into account capital costs. This holds for comparison of hoteling based on case mix in all medical procedures. The checklists were reviewed and filled by reviewing accounting documents of the hospital, warehouse exclusion list, and daily books of laundry and CSR. Data was analyzed descriptively by using Excel. Results - In both cases, the hospital is losing in terms of hoteling. Because the buildings and equipment are new, this loss is not tangible. However, this will be revealed when costs of reconstruction and replacement of equipment. The loss rate per day of hospitalization was 569318 Rials for Coronary Care Unit (CCU), 528171 Rials for Post Intensive Care Unit (Post ICU), 474570 Rials for ICU, 233183 Rials for Post CCU and 204803 for Surgical ward. Conclusions - Income of hoteling was lower than its costs. ANOVA showed a strong relationship between case mix and hospital costs as well as case mix and its income. This suggests that optimal case mix can minimize the costs and maximize income.

Purpose According – to the applied studies knowledge, management implementation can improve organizational performance. The main objective of this study is to develop an understanding of critical success factors that enhance the successful implementation of knowledge management. Research design, data, and methodology – This study used Analytical Hierarchy Procedure (AHP), which is a multi-criteria decision making model that works on fuzzy logic. Using this method, researchers can find the proportion of success due to the contribution of the critical success factors (CSFs). Results – The results show that more than 70% of respondents indicate the possibility of success in knowledge management implementation. Further, the results show that top management support has the greatest relationship with the success of knowledge management implementation. This was followed by information technology, performance measurement, and culture, which had a high relation with knowledge management success. Process and activities have a moderate positive relation, while education and training has a low relation with success. Because of an inappropriate p-value, knowledge management strategies show no relation to the success of knowledge management in the Iranian health Industry. Conclusions – This study was conducted because of a critical issue in the Iranian health industry that indicated that a significant portion of the workforce would retire in 5 to 10 years. Most highly experienced and knowledge oriented employees would become eligible for retirement. Therefore, knowledge management is presented as a complete solution in the Iranian health sector.

Purpose - objective of this research is to investigate individual, organizational and environmental factors influence tacit knowledge sharing among healthcare professionals. The transmission of Tacit Knowledge is crucial for organizations to ensure that TK will be passed throughout organization, rather than stored in single employee. Research design, data, and methodology - In this study investigate organizational, individual and environmental factors that influence on TK sharing. To test hypothesizes, the survey method was chosen. Sample size was 100 but 74% of questioners returned. Results - The main findings of this research are related to influence of personal, social cultural and behavioral factors on tacit knowledge sharing. According to extracted data all factors have influence on tacit knowledge sharing except Emotional stability that was found to be negatively related to tacit knowledge sharing. That may means anxiety and stress level of workplace applies negative enhance on tacit knowledge sharing. And finally results show that social environment, team oriented culture and organizational commitment have strongest influences on tacit knowledge sharing. Conclusion - the findings of this study shows that personal, social cultural and behavioral factors influence on tacit knowledge sharing. And also indicates that, social and organizational factors enhance strongly on tacit knowledge sharing.