Farkhonde Asadi; Hamid Moghaddasi; Aazamossadat Hosseini; Susan Azizi Gondozlu
Volume 9, Issue 5 , November and December 2012, , Pages 619-631
Abstract
Introduction: Non-integrated health information has forced health sector to utilize information andcommunication technology (ICT). National health information infrastructure (NHII) integratesclinical and health information, decreases medical errors as well as costs, and increases patient’ssafety. ...
Read More
Introduction: Non-integrated health information has forced health sector to utilize information andcommunication technology (ICT). National health information infrastructure (NHII) integratesclinical and health information, decreases medical errors as well as costs, and increases patient’ssafety. Thus, this article aimed to review the feasibility of NHII implementation in Iran fromperspective of ICT experts in Ministry of Health and other health-related organizations in 2009.Methods: This survey was conducted after identifying the NHII. The study population consistedof ICT managers and experts, and sample size was equal to the sample population. The data werecollected through interviewing and by means of questionnaire. The questionnaire was confirmedby health information management and ICT experts. The validity of the questionnaire wasconfirmed by content validity and its reliability by test-retest method (r = 0.84). Data wereanalyzed by descriptive statistics.Results: Despite a relationship between Ministry of Health and other health-relatedorganizations, only 14.28% of the organizations had fully integrated computerized informationsystem and were ready to connect to the Ministry of Health. Cultural, economic, andinfrastructural problems were 92.30% and lack of standards and legal issues with 84.61% werethe most important barriers for implementing NHII in Iran.Conclusion: Due to the lack of required infrastructures, implementing NHII in Iran is impossible.Developing culture, privacy laws enactment and ICT in addition to governmental supervision forestablishing required infrastructures should be implemented.
Farkhondeh Asadi; Hamid Moghaddasi; Azamolsadat Hosseini; Mohammd Dehghani
Volume 9, Issue 3 , May and June 2012
Abstract
Introduction: Ambulatory care is an inseparable part of health care system. It is commonly considered as the entrance of the patient to the health care system. High qualify ambulatory care has an important role in reducing mortality and morbidity rates. On the other hand, quality of information has an ...
Read More
Introduction: Ambulatory care is an inseparable part of health care system. It is commonly considered as the entrance of the patient to the health care system. High qualify ambulatory care has an important role in reducing mortality and morbidity rates. On the other hand, quality of information has an important role in the quality and safety of ambulatory health care. It is hence necessary to properly manage information. Therefore, this research was carried out to evaluate the outpatient information management systems in hospitals affiliated with universities of medical sciences in Tehran, Iran.Methods: This descriptive study was performed in 2011 to assess outpatient information management systems (clinics and emergency departments). Data was collected using a self-made questionnaire whose content validity was approved. The reliability of the questionnaire was also examined by test-retest. Sample size was equal to society size (42 hospitals). The analysis of data was conducted based on descriptive analysis in SPSS10.Results: None of the evaluated outpatient information management systems employed qualitative review in order to improve the quality of collected data. In addition, about 62% of emergency departments and 78% of clinics did not perform any procedure to organize data within the records.Conclusion: The existence of a high quality and dynamic outpatient information management system is critical. Therefore, the processes and rules on data collection, storage, processing, and distribution in outpatient information management systems require more attention.Keywords: Information Management; Ambulatory Care; Medical Records; Information.
Hamid Moghaddassi; Azamosadat Hoseini; Farkhonde Asadi; Maryam Jahanbakhsh
Volume 9, Issue 2 , May and June 2012
Abstract
Health databases contain a wide scope of clinical data to explore relationships and patterns that can lead to new medical knowledge.Today, the emergence of integrated information systems and growth of information technologies have better highlighted the importance of such databases. Data mining is among ...
Read More
Health databases contain a wide scope of clinical data to explore relationships and patterns that can lead to new medical knowledge.Today, the emergence of integrated information systems and growth of information technologies have better highlighted the importance of such databases. Data mining is among the technological advances toward data management whose integration with traditional methods has become a necessity due to the widespread use of information systems and databases. This article reviews concepts related to data mining and its application in the field of health.Keywords: Data Mining; Health; Knowledge.
Azamsadat Hoseini; Hamid Moghaddasi; Masoume Naghavian
Volume 8, Issue 6 , January and February 2012, , Pages 872-883
Abstract
Introduction: Oral diseases are the most prevalent diseases probable at any age. They are chronic in nature and expensive to care. Accurate, comprehensive, well-structured, well-managed data is required to control and prevent oral diseases, clinical audit, quality of patient care, and administrative, ...
Read More
Introduction: Oral diseases are the most prevalent diseases probable at any age. They are chronic in nature and expensive to care. Accurate, comprehensive, well-structured, well-managed data is required to control and prevent oral diseases, clinical audit, quality of patient care, and administrative, financial, research and legal goals fulfillment we need. In dentistry, data collection would provide all necessary information for the dentist to make an accurate diagnosis of the patient's condition. Clinical data is fundamental to the process of dental care, contributes to diagnosis, planning and correct sequencing of treatment. This research was performed to evaluate data elements used in dental care setting in America, Britain and India and present a pattern for Iran. Methods: In an applied, descriptive study, first a situational analysis of data elements in 22 dental care settings affiliated to Shahid Beheshti, Tehran and Iran Universities was performed in 2007. Based on the needs of the country, a dental data element model was suggested for Iran. The model was then confirmed through Delphi technique by 30 authorities. Results: Situational analysis showed data collection and dental data elements to face numerous limitations. There was no accurate and appropriate data element model for dental data collection. Therefore, a model for dental data collection was designed for Iran based on the models in America, England and India. After applying Delphi technique, the model was approved with a 73-100% agreement. Conclusion: Designing and implementing dental data elements for data collection in Iran is advised to promote quality of patient care, and to control and prevent oral diseases.
Farkhondeh Asadi; Azamosadat Hosseini; Hamid Moghaddasi; Mojtaba Esmaeili
Volume 8, Issue 6 , January and February 2012, , Pages 900-980
Abstract
Introduction: Health care is considered as one of the basic needs of human societies. Health insurance is the most appropriate option for all individuals to enjoy equal health care. However, today, different types of health insurance are facing with various problems which need to be solved ...
Read More
Introduction: Health care is considered as one of the basic needs of human societies. Health insurance is the most appropriate option for all individuals to enjoy equal health care. However, today, different types of health insurance are facing with various problems which need to be solved through new laws. Therefore, Health Insurance Portability and Accountability Act (HIPAA) was approved to solve problems in the US health insurance system. We decided to study HIPAA and the possibility of its implementation in Iran in order to solve the problems of Iranian health insurance system. Methods: In this descriptive exploratory research, data was collected by reviewing reliable sources and referring to health insurance organizations and universities of medical sciences in Tehran, Iran during 2009. Using a questionnaire, 24 academic and health insurance management experts were asked about the possibility of applying HIPAA in Iran. The validity and reliability of the questionnaire were determined by content validity and test-retest method (r = 0.84). Results: Based on our results, increased health care costs, lack of continuous health insurance coverage and too much bureaucracy were the most important problems of the American health insurance system. In addition, 66.66% of the studied health insurance experts identified increased costs as the first factor in the reform in the Iranian health care system. A total of 83.33% of the experts agreed with the health insurance system reform in Iran. Conclusion: HIPAA includes important approaches to solve the problems in the American health insurance. Considering the similarity of the problems in American and Iranian health insurance systems, experts agreed with the need for electronic data interchange, creating a national identification in the health care industry, and implementation of a comprehensive information system to coordinate the insurance system.
Azamossadat Hosseini; Hamid Moghaddasi; Farkhondeh Asadi; Maryam Hemati
Volume 8, Issue 2 , May and June 2011
Abstract
Introduction: The main goal of anatomical pathology is to provide information that is used for diagnostic, prognostic, and therapeutic purposes in pursuit of patient care. Effective information management and optimize information systems are crucial to the successful practice of pathology with respect ...
Read More
Introduction: The main goal of anatomical pathology is to provide information that is used for diagnostic, prognostic, and therapeutic purposes in pursuit of patient care. Effective information management and optimize information systems are crucial to the successful practice of pathology with respect to this mission. Design or improvement of anatomic pathology laboratory information systems (APLIS) can not be done without knowing about their situations; therefore researcher carried out a study of the current situation of APLIS’s in educational hospitals affiliated to Shahid Beheshti University of Medical Sciences.Methods: In this descriptive study, 13 APLIS’s of Shahid Beheshti University hospitals were studied. The sample size was according to the population size. Data collected through observation and by means of check list and questionnaire validity and reliability of checklist and questionnaire was assessed by content validity and test re-test, respectively. The analysis of data was conducted based on descriptive statistics.Results: 77.8% of APLIS’s were semi-computerized. In 88.9% of APLIS’s, statistical classification of data was done by ICD-0 and in 11.1% of them by ICD-10. Other types of statistical classification of data including systemized nomenclature of medicine (SNOMED), determination of false negative proportion in cytopathology and digital analysis of tissue specimens was not performed in any of hospitals.Conclusion: Using of electronic information systems facilitate, promote and advance the practice of pathology. Digital analysis of tissue specimens could have many advantages for teleconsultation, preparation of virtual slides and teaching.Keywords: Hospital Information System; Pathology; Surgical Pathology.
Azamossadat Hosseini; Hamid Moghaddasi; Maryam Jahanbakhsh
Volume 7, Issue 3 , September 2010
Abstract
Introduction: Measurement of diabetes management effectiveness includes the process of care and its quality, health outcome and response to care before everything; it needs a conceptual framework about this universal disease. Minimum Data Set (MDS) of diabetes make this framework by using standard data ...
Read More
Introduction: Measurement of diabetes management effectiveness includes the process of care and its quality, health outcome and response to care before everything; it needs a conceptual framework about this universal disease. Minimum Data Set (MDS) of diabetes make this framework by using standard data element with unique definition and effectiveness indicators preparation of diabetes management. Therefore, this research was accomplished to study the MDS of diabetes as diabetes management effectiveness indicators in America, Australia, Scotland, and Finland and also, presentation of model for Iran.Methods: This research was an applied descriptive study. At first, we used a questionnaire and checklist to study MDS of diabetes in Tehran; then in selected countries, MDS of diabetes was assessed by published and electronic literatures and at the end, the proposed model was designed in accordance to country's needs taking discerning people attitude upon it by Delphi technique. A data analysis in study stage of MDS of diabetes in the selective countries was done by comparative tables and determination of similarities and differences of the MDS. In the stage of gaining credit for model, it accomplished with descriptive statistics to the extent of absolute and relative frequency.Results: MDS of diabetes for Iran presented in 12 forms and diabetes management effectiveness indicators on base of studying in America, Australia, Scotland, and Finland countries and needs of our country and after doing Delphi technique with 98 percent agreement confirmed.Conclusion: MDS provides continuous care of patients, communication among providers and analysis of patient and patient society care effectiveness. So, it causes decrease of threatening diabetic complications. Collection of MDS of diabetes increases the quality of care assessment and effectiveness indicators for management of care process, quality of services, and health outcome.Keywords: Diabetes Mellitus; Managerial Effectiveness; Data; Drawing; Indicators.
Azamossadat Hosseini; Hamid Moghaddasi; Maryam Jahanbakhsh
Volume 3, Issue 1 , March 2006
Abstract
Introduction: Diabetes mellitus is one of the most frequent causes of morbidities , mortalities and increasing cost of health care services all over the world. Diabete’s clinical information system which is part of diabete’s information management system make it possible to manage this illness. This ...
Read More
Introduction: Diabetes mellitus is one of the most frequent causes of morbidities , mortalities and increasing cost of health care services all over the world. Diabete’s clinical information system which is part of diabete’s information management system make it possible to manage this illness. This study aimed at comparing the diabetes clinical information systems in the U.S. , Scotland and Finland and present a model for Iran. Methods: It is a descriptive study in which the current status of diabetes clinical information system in public, pediatrics and specialized hospitals (N=27) were examined by using questionnaires and checklists. Then, diabetes clinical information system in the selected countries were investigated and based on our country’s needs , a model was presented by using Delphi technique and it was validated by some experts (n=35). Results: Based on the findings of this study, the researchers presented a model which focused on seven areas including objectives, equipment, executive authorities, data collection methods, data processing and their distribution, and patients’ follow-up and summoning. The model was confirmed (98%) after Delphi technique was carried out. Conclusion: It was suggested that diabetes clinical information system be designed and implemented in public and pediatrics hospitals for diabetes management in order to achieve two main objectives in health systems : controlling the quality of healthcare services and controlling their expenses. Key words: Diabetes Mellitus; Management Information Systems; Hospital Information Systems.
