Presentation of a model-based data mining to predict lung cancer

Background: The data related to patients often have very useful information that can help us to resolve a lot of problems and difficulties in different areas. This study was performed to present a model-based data mining to predict lung cancer in 2014

Methods: In this exploratory and modeling study, information was collected by two methods: library and field methods. All gathered variables were in the format of form of data transferring from those affected by pulmonary problems [303 records] as well as 26 fields including clinical and environmental variables. The validity of form of data transferring was obtained via consensus and meeting group method using purposive sampling through several meetings among members of research group and lung group. The methodology used was based on classification and prediction method of data mining as well as the method of supervision with algorithms of classification and regression tree using Clementine 12 software

Results: For clinical variables, model's precision was high in three parts of training, test and validation. For environmental variables, maximum precision of model in training part relevant to CandR algorithm was equal to 76%, in test part relevant to Neural Net algorithm was equal to 61%, and in validation part relevant to Neural Net algorithm was equal to 57%

Conclusion: In clinical variables, C5.0, CHAID, C and R models were stable and suitable for detection of lung cancer. In addition, in environmental variables, C and R model was stable and suitable for detection of lung cancer. Variables such as pulmonary nodules, effusion of plural fluid, diameter of pulmonary nodules, and place of pulmonary nodules are very important variables that have the greatest impact on detection of lung cancer

[Assess the disaster preparedness of the selected military hospitals]

Hospitals are the main referral center injured in accidents. Military hospital due to security dimension, have an important role in times of crisis So they need to get ready for the crisis. This study aimed to assess the disaster preparedness system is designed in selected Military hospitals. This is a cross - sectional, discriptive study in 12 selected Military hospitals. A questionnaire with 210 question was used for data collection and analysed with spss18. The overall rating of the hospital disaster preparedness was medium [56/80]. According to essential role of the military hospital in disaster management, The results did not meet expectations andneed to revise the policy

Designing a model for trauma system management using public health approach: the case of Iran

Trauma is a leading cause of death and disability around the world. Injuries are responsible for about six million deaths annually, of which ninety percent occur in developing countries. In Iran, injuries are the most common cause of death among age groups below fifty. Trauma system development is a systematic and comprehensive approach to injury prevention and treatment whose effectiveness has been proved. The present study aims at designing a trauma system management model as the first step toward trauma system establishment in Iran. In this qualitative research, a conceptual framework was developed based on the public health approach and three well-known trauma system models. We used Benchmarks, Indicators and Scoring [BIS] to analyze the current situation of Iran trauma care system. Then the trauma system management was designed using the policy development phase of public health approach The trauma system management model, validated by a panel of experts, describes lead agency, trauma system plan, policy-making councils, and data-based control according to the four main functions of management: leading, planning, organizing and controlling. This model may be implemented in two phases: the exclusive phase, focusing on resource integration and the inclusive phase, which concentrates on system development. The model could facilitate the development of trauma system in Iran through pilot studies as the assurance phase of public health approach. Furthermore, the model can provide a practical framework for trauma system management at the international level

[ rate of general and managerial educations among managers and chief experts in iran universities of medical sciences/ vice chancellors for health]

Background and Objective: Education and improvement of human resources is a kind of investment in organizations and have a key role in improving their performance and productivity. This study was conducted to determine the rate of managerial trainings among managers and chief experts in health deputies of Iran Medical Sciences Universities and its relation to demographic and institutional factors

Methods: This cross-sectional study was conducted in spring 2011. Sample population was managers and experts of Health Deputies of Medical Sciences Universities in Iran. Thirteen universities were selected by random systematic and stratified sampling and their managers and chief experts were interviewed by using a questionnaire consisted of demographic and organizational variables as well as 40 management-related topics

Results: A total of 293 managers and chief experts were studied. Among 40 studied management topics, only in 8 topics over than 40% had been trained and in 32 remained topics the rate of trained individuals varied from 1% to 40%. The rate of education showed significant relationship with the grade of university and subjects' sex, age , work experience, educational level and field, taking MPH courses and current work location and position [p<0.05]. The grade of university [77.5%] and work experience [12.5%] had respectively the highest and lowest relationships with the rate of education

Conclusion: Low rate of managerial and general trainings among managers and chief experts requires designing and implementing more educational programs?

Risks involved in medical records processes of Al-Zahra Hospital

Risk management nowadays is one of the main concerns of all professions in order to protect themselves as well as keeping a competitive edge in the market. Analyzing risks and their consequences [FMEA] is one of the techniques of risk assessment which has been used in this research to define and assess risks and prevention measures for the risk. In this descriptive, cross sectional study, medical record department of Al-Zahra hospital was studies. The researcher did observe work processes and interviewed with hospital staff during 1385-86 and then prepared a diagrammatic presentation of those processes. All processes were reviewed in detail and possible risks and consequences ,severity, accordance, discovery and risk priority was defined through focus groups. FEMA was used in this research. FEMA was considered reliable due to its use by researchers in other countries and its validity is defined through expert opinion. Experts in medical record were consulted and suggested actions were discussed in a focus group and prioritized by department manager according to significance and implacability. Ranking was assessed according to the criteria of decision table in this research. 24 out of 56 possible failures were related to admission office with the highest score related to [inability of admission personnel in re-reading admission order]. Techniques such as FEMA with emphasis on group work and prevention, enhance staff precision, and attention to their possible professional weaknesses as well as taking actions to prevent them