Showing 54 results for Safdari
Reza Safdari, Hossein Dargahi, Farzin Halabchi, Kamran Shadanfar, Robab Abdolkhani,
Volume 8, Issue 2 (7-2014)
Abstract
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.
Reza Safdari, Leila Shahmoradi, Maryam Ebrahimi ,
Volume 9, Issue 3 (9-2015)
Abstract
Background and Aim: Pathology Information Systems provide opportunities for pathologists and clinical laboratory professionals to influence clinical care and modern research programs. The objective of this study was to determine the minimum data set of Anatomical Pathology Information System from the experts’ point of view.
Materials and Methods: This study is considered an applied research conducted through a descriptive cross-sectional research method. The research instrument was a questionnaire containing data elements related to sample and those related to the patient. This questionnaire was completed by three groups of participants including 22 experts in the field of Pathology and Laboratory Medicine, 23 experts in Health Informatics and Health Information Management, and 6 Insurance experts. The collected data were analyzed using descriptive statistics and SPSS software.
Results: The results indicated that all information elements contained in the questionnaire except the address of the pathologist, resident or the person who performs the act of gross examination were considered as informational elements essential to the system and the high average of five was allocated to them.
Conclusion: Based on the results of this study, the Minimum Data Set of Anatomical Pathology Information System can be presented in two main categories: Clinical and non-clinical information, which include identity information, management information, insurance information, clinical information and the data related to the study of anatomiaca pathology samples.
Reza Safdari, Fatemeh Sadeghi , Maryam Mohammadiazar,
Volume 10, Issue 2 (5-2016)
Abstract
Background and Aim: Population aging in most of developed countries should be subjective to more attention, regarding health issues of aging group. Different organizations and institutions have launched several programs related to elderly center. This paper is aimed to compare performance of different programs of active organizations in the field of elderly care in Iran.
Materials and Methods: This overview of research, used library resources and online databases Proquest, Pub med, Science Direct, Ovid and Scientific Information databases using keywords that Aged care services, relevant organizations, and Iran.
Results: There are various classifications of geriatric services. However, these services can be divided into three groups including infrastructure, social services, and health care and preventive services according to concept, level and type of services.
Conclusion: In Iran, agencies and institutions relevant to elderly, take measures to support elderly people given their current tasks and allocated budget. But, these measures do not seem adequate, because solving aging problem, as a problem with evident influences which its impacts will be intensified in future, requires responsibility and cooperation of more agencies and public institutions.
Mahtab Karami, Reza Safdari,
Volume 10, Issue 4 (9-2016)
Abstract
Background and Aim: Hospital is a complex ecosystem in terms of diversity of services, clients, personnel, equipment, technologies, data and information which are generated. Since the ultimate goal of a hospital is to improve quality of care along with reducing cost, using intellectual tool such as dashboard can create strategic value.
Materials and Methods: This review article was performed based on a literature review and internet search through such scientific databases as PubMed, EBSCO host research, Proquest, Emerald, Web of science and search engine such as Google, Google Scholar. In this study, the articles about intellectual capitals as well as the application of dashboard in healthcare between year 2009 and 2013 were reviewed.
Conclusion: Application of dashboard in hospital can create strategic values such as respond to environmental changes rapidly, identify new market opportunities, become a learning organization by discovering new patterns and relationship among data, achieve best practices by analyzing patterns of treatment and results and achieve the highest efficiency.
Reza Safdari, Masoumeh Hamidi, Mohsen Aghaee, Marjan Ghazi Saeedi ,
Volume 10, Issue 6 (3-2017)
Abstract
Background and Aim: The objective of this study was to design electronic card of health for schizophrenic patients to better manage their clinical information.
Materials and Methods: The study was conducted year 2014. The population of the study included 40 psychiatrists. The information, based on minimal clinical and demographic data, was gathered through field study and survey using a questionnaire. Referential and inferential statistics techniques were used to analyze the data. To schizophrenic patients' electronic health cards, various software were studied to design database, card and card reader.
Results: According to the results and observed frequencies, it was confirmed that the components of demographic and clinical information be inserted in the electronic card of health. The project includes hardware of card reader machine, card and visual studio software. Microsoft SQL Server, 2008, was applied to design database.
Conclusion: The electronic card of health for schizophrenic patients helps the treatment team to provide effective health care as well as medical records and hospital admission's staff in better management of patient information. It also reduces the problems of relatives and family members of the patients in the medical centers and facilitates, and the process of treatment of schizophrenic patients significantly. Using schizophrenia patient’s electronic health card, hospital in better management of patient information puts in good condition.
Reza Safdari, Marjan Ghazi Saeedi, Mostafa Sheykhotayefe , Mohammad Jebraeily, Seyedeh Sedigheh Seyed Farajolah, Elham Maserat , Roya Laki Tabrizi,
Volume 11, Issue 1 (5-2017)
Abstract
Background and Aim: The most important issues that always absorb accuracy and effort of hospital, is the mastery and control over the financial status for the hospital resources management. In all countries, the medical centers are considered as a vital community resource and must be managed in line with the interests of society. Hence, these studies aimed to investigate the causes of insurance deductions and were made to assist hospital administrators in reducing the deductions against them.
Materials and Methods: This descriptive research is retrospective study in year 2012. The study population consisted of 100 insurance experts deployed in insurance centers (including Health care’s, Social security, Armed forces, Help Committee) from which 25 experts were randomly selected from each Insurance Center. Researcher madden questionnaire was used to collect data. For validating of questionnaire justifiability, questionnaire was provided to insurance expert, professors and ambiguities were resolved. Test-retest procedure was used to ensure the Stability of the questionnaire. The collected data was analyzed and classified using Excel software.
Results: These findings indicate that between all parts of surgery wards deductions are the highest (%45/55), and between surgery wards, orthopedics surgery had the highest amount of deductions (%40/75).
Conclusion: Healthcare provider should be more careful and minimize documentation errors in reporting and documentation. Also the hospital administrators for reducing deductions against patient records must provide educational course for correct documentation.
Niloofar Mohammadzadeh, Reza Safdari,
Volume 11, Issue 2 (7-2017)
Abstract
Background and Aim: Agents can provide suitable infrastructure for follow-up data analysis and Chronic Heart Failure (CHF) management due to their many advantages such as autonomy and pro-activeness. The aim of this article is to explain the key points which should appropriately be considered in designing a CHF management system.
Materials and Methods: In this literature review, articles with the following keywords were searched in ScienceDirect, Google Scholar and PubMed databases without regard to their publication year: multi-agent system, chronic heart failure, and chronic disease management.
Results: In designing CHF management through a multi-agent system approach, there are key points in general and specific aspects that must be considered; for example, confidentiality and privacy, architecture, appropriate information and communication technology infrastructure, and legal and ethical issues.
Conclusion: Clearly, identifying and resolving technical and non-technical challenges are vital to the successful implementation of this technology. Thus, in the design and implementation of agent-based systems, many issues should be considered; for instance, reduced face-to-face communication between patients and doctors that can lead to increased stress in some CHF patients, appropriate architecture and application of communication standards and protocols, the mode of communication between agents, users’ attitudes, supporting stakeholders to use agent technology, sufficient budget, coverage of healthcare costs based on agent technology, financial capability, and identification of opportunities and barriers.
Reza Safdari, Maliheh Kadivar, Parinaz Tabari, Hala Shawky Own ,
Volume 11, Issue 5 (1-2018)
Abstract
Background and Aim: Neonatal jaundice is a matter that is very important for clinicians all over the world because this disease is one of the most common cases that requires clinical care. The aim of this study is to use data classification algorithms to predict the type of jaundice in neonates, and therefore, to prevent irreparable damages in future.
Materials and Methods: This is a descriptive study and is done with the use of neonatal jaundice dataset that has been collected in Cairo, Egypt. In this study, after preprocessing the data, classification algorithms such as decision tree, Naïve Bayes, and kNN (k-Nearest Neighbors) were used, compared and analyzed in Orange application.
Results: Based on the findings, decision tree with precision of 94%, Naïve Bayes with precision of 91%, and kNN with precision of 89% can classify the types of neonatal jaundice. So, among these types, the most precise classification algorithm is decision tree.
Conclusion: Classification algorithms can be used in clinical decision support systems to help physicians make decisions about the types of special diseases; therefore, physicians can look after patients appropriately. So the probable risks for patients can be decreased.
Kiana Farhadyar , Reza Safdari ,
Volume 11, Issue 6 (3-2018)
Abstract
Background and Aim: Medication errors are preventable event, which may result inappropriate medication intake or damage to patients and, Medication management is a complicated process including multiple activities in order to improve patient safety. There are many documentations that indicate the considerable potential of information technology, especially mhealth in this area. The aim of this study was to review the mobile based medication management systems in order to extract the requirements for these systems development.
Materials and Methods: Four electronic databases (PubMed, Embase, Web of Science and Science Direct) were searched for papers regarding mhealth based medication management systems. After screening the abstracts and publications information a descriptive study was performed on 15 papers.
Results: In this study, 13 functional requirements were extracted and the user requirements was divided into six main groups. Also the technologies which was used in order to implement the functional requirements were extracted.
Conclusion: According to the current study, medication management systems using mhealth technologies are feasible for people with chronic diseases, elderly people and etc. but there is not any medication management system for visually impaired people. Although due to their disabilities they are at higher risk of medication errors and it is a research gap that should be considered in future works.
Reza Safdari, Leila Shahmoradi, Marjan Daneshvar, Elmira Pourtorkan, Mersa Gholamzadeh,
Volume 12, Issue 1 (5-2018)
Abstract
Background and Aim: The Ovarian epithelial cancer is one of the most deadly types of cancers in women.Thus, the purpose of this study was to investigate the most effective factors in predicting and detecting Ovarian cancer in the form of a decision tree to facilitate the Ovarian cancer diagnosis.
Materials and Methods: The present study was a descriptive-developmental study. The main research tool applied in this study was a checklist which was designed based on the medical records, published studies, scientific references, and expert consultation.To determine the content validity of the checklist, the CVR method was applied. Next, survey research was done with aid of Likert-based checklist based on expert opinions in gynecology. Finally, to develop the decision tree, the results of the expert survey were analyzed and the final model was implemented based on the survey results.
Results: The data elements of final decision tree were derived from the result of expert surveys, guidelines, clinical pathways and strategies in context of diagnosis and screening of Ovarian cancer. The leaf nodes in the tree include different types of tumor markers, following up, therapeutic measures, and referrals. The accuracy of the decision tree was approved by the experts. The most important tumor markers that obtained from the decision model in this study were CA19-9, ROMA (CA125 + HE4) and CEA.
Conclusion: Clinical decision models can provide specific diagnosis and therapeutic suggestions by creating patient information integration framework. The model developed in this study can improve the diagnosis of epithelial Ovarian cancer considerably by facilitating decision making.
Minoo Shahbazi, Reza Safdari, Mohammad Zarei,
Volume 12, Issue 2 (Jun & Jul 2018)
Abstract
Background and Aim: The quality of Electronic Health Records (EHRs) depends on the quality of its content and proper documentation. Determining the Minimum Data Set (MDS) to enhance the quality of electronic health records’ content and helping to improve the quality of health care provision to uveitis patients are essential matters. The aim of this study is to determine the essential MDS for uveitis patients’ electronic health records.
Materials and Methods: In this descriptive-analytical study, data collection tools for collecting the Minimum Data Set were library resources and internet-based database. The MDS was obtained through Likert scale questionnaire and was surveyed by 22 ophthalmologists and retina subspecialists.
Results: Among the elements of the survey, all cases with over 90% approval were considered as main elements. Regarding the importance of presented data elements, no significant difference was found between the responses of ophthalmologists who participated in this study.
Conclusion: The Minimum Data Set of uveitis patients’ electronic health records can be represented by five groups of demographic information: patients’ clinical records, laboratory information, type of uveitis, treatment guidelines, and the information of ophthalmic pictures. A suggested model for manual systems and electronic medical records is available.
Reza Safdari, Mahboubeh Mirzaee, Mahni Mehdibagli,
Volume 12, Issue 2 (Jun & Jul 2018)
Abstract
Background and Aim: Since safety, performance and outcome indicators can improve the quality of care, patient safety indicators are required to monitor and provide safety in care. The aim of this study was to compile a set of patient safety indicators for monitoring in patient safety dashboard.
Materials and Methods: A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
Results: The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Conclusion: Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.
Reza Safdari, Hajar Hasan Nejadasl, Sharareh Rostam Niakan-Kalhori, Bahram Nikmanesh,
Volume 12, Issue 3 (Aug & Sep 2018)
Abstract
Background and Aim: In recent years, tuberculosis is a major cause of illness and mortality due to infectious diseases. In fact, one of the reasons for increasing the incidence of tuberculosis is that it is often associated with HIV infection. The present study aimed to design and establish a mobile-based self-care system for controlling tuberculosis.
Materials and Methods: The data required in this research for evaluating the information and designing the application were collected in two main steps: first, the data required in this research for information needs assessment and application design were collected by searching in library resources. A questionnaire was applied by physicians to validate and determine the significance of these elements. Afterwards, based on information elements and the self-care, application was designed in the Android Studio environment.
Results: Information elements and functional capabilities required by the program were determined. Web-based services as a system interface, not only provided the communication between the patient and the care provider, also allowed for patient monitoring and disease control. Then evaluation of the performance and performance of the program was done by doctors and software experts. The findings showed user satisfaction with the application.
Conclusion: Monitoring of treatment electronically allows for less costly monitoring of the patient. In this study, we present a prototype of the relationship between self-care application and portal and its potential benefits, which will allow future studies to improve and add new capabilities.
Reza Safdari, Ensieh Nasli Esfahani, Sharareh Rostam Niakan Kalhori, Mahsa Mosadeghi Nik,
Volume 12, Issue 4 (Oct & Nov 2018)
Abstract
Background and Aim: Diabetic foot ulcer is one of the most painful complications of Diabetes and affects various aspects of a person's life. Therefore, involvement of the patient in self-care can minimize its complications. The purpose of this study was to identify the effective factors in the Diabetic foot self-management for designing a managed-care based app for people with Diabetes who have risk factors for foot ulcers or wound infections.
Materials and Methods: In this cross-sectional study all physicians and nurses employed at ‘Diabetes and Metabolic Diseases Research Center’ of Tehran University of Medical Sciences who had a history of working with Diabetic patients at various levels of Diabetes and foot ulcers participated. The data collection tool was a questionnaire based on the likert scale that made by researchers, which included demographic and clinical information, education and lifestyle management and capabilities of application for self-management in Diabetic foot patients. Finally, descriptive statistics used to analyze the results in SPSS.
Results: After reviewing the rate of experts’ agreement with the components of the survey, all the cases over 51% approval rate were considered as required components. According to the opinion of the physicians respectively capabilities of application, education and lifestyle management and patient information and according to the opinion of the nurses’ education and lifestyle management, patient information and capabilities of application were important respectively.
Conclusion: Beside proper treatment of the disease, self-management strategies can be effective and useful. Effectiveness of the patients’ self-care by acquiring the necessary skills and involvement in self-care might be achievable.
Reza Safdari, Somaye Mahdavi, Leila Shahmoradi, Khdijeh Adabi, Shahram Tahmasebian, Mahnaz Nazari,
Volume 12, Issue 5 (Dec & Jan 2019)
Abstract
Background and Aim: To provide effective care, health care providers need timely and appropriate information. Electronic records provide quick access and easy management of data. The aim of this study was to develop electronic health records for patients with hydatidiform mole and evaluation of completeness of medical records
Materials and Methods: This applied study was conducted in 2017. After verifying the minimum data set required for the system, data were extracted from patient records using a checklist and entered into SQL server. SQL server 2012 and Visual Studio 2013 to design electronic records and SPSS 20 for data analysis was used. Extent of data completion in patient records was also assesed.
Results: Data on the completion of paper records indicated that in 100% of cases, “address” item was filled in. The less completed data was related to carotene deficiency (%1.1). Our findings also showed that the eight most important items like age of first menstruation, first gestational age, interval between pregnancies, number of sexual partners, menstruation between pregnancies, contraceptive methods, social habits and radiotherapy, were not completed in all records.
Conclusion: Many of the important minimum data set for hydatidiform mole disease were either not completed or completed in limited numbers in paper records. By developing such health records, we can ensure better prevention and treatment, and regular follow-up for the patients and help them to save their time and costs.
Reza Safdari, Mozhgan Rahmanian, Shahrbanoo Pahlevany Nejad ,
Volume 12, Issue 6 (Feb & Mar 2019)
Abstract
Background and Aim: Preeclampsia is one of the most prominent cases of pregnancy related diseases that threatens health at global level, especially in developing countries. In Iran, with 14% of outbreak, it is the second most common cause of maternal mortality. The main goal of this study was to identify the information requirements of the Android-based preeclampsia self-Management application.
Materials & Methods: This was a descriptive study that was done in 2018 in Amir_Almomenin Hospital affiliated to Semnan University of Medical Sciences in two stages of reviewing the sources and the need for data elements. In the review phase, after studying the articles and study, the data requirements and factors which affecting the prevalence of preeclampsia were identified and a survey of qualified physicians was done by designing a researcher-made questionnaire.
Results: This research results indicate that 63.9% of the respondents assigned to the elements mentioned in the demographic findings. 75.9% of them identified health information elements as very important. Also, 77.85% of the research community considered the elements in the lifestyle sector to be of the highest importance. All participants recognized that reminder in the program was necessary. Approximately 33.33% of them reconsidered sport education to be at the lowest level, while 45.24% rated it as being of the highest importance.
Conclusion: The information requirements of this program were determined in 6 groups of health history, educational tips, lifestyle, alarms, referral, and reporting. These programs can help pregnant mothers with preeclampsia to control their disease to minimize complications by observing proper nutrition and principles of treatment.
Azita Yazdani, Ali Asghar Safaei, Reza Safdari, Maryam Zahmatkeshan,
Volume 13, Issue 3 (Aug & Sep 2019)
Abstract
Background and Aim: Breast cancer is the most common type of cancer and the main cause of death from cancer in women worldwide. Technologies such as data mining, have enabled experts in this area to improve decision making in the early diagnosis of the disease. Therefore, the purpose of this research is to develop an automatic diagnostic model for breast cancer by employing data mining methods and selecting the model with the highest accuracy of diagnosis.
Materials and Methods: In this study, 654 available patient records of Motahari breast cancer Clinic in Shiraz" were used as the sample. The number of records was reduced to 621 after the pre-processing operation. These samples had 22 features that ultimately used ten were used as effective features in the design of the model. Three types of Decision tree, Naive Bayes and Artificial neural network were used for diagnosis of breast cancer and 10-fold cross-validation method for constructing and evaluating the model on the collected data set.
Results: The results of the three techniques mentioned all three models showed promising results in detecting breast cancer. Finally, the artificial neural network accounted for the highest accuracy of 94/49%(sensitivity 96/19%, specificity 86/36%) in the diagnosis of breast cancer.
Conclusion: Based on the results of the decision tree, the risk factors such as age, weight, Age of menstruation, menopause, OCP of records duration, and the age of the first pregnancy were among the factors affecting the incidence of breast cancer in women.
Reza Safdari, Hamid Choobineh, Mozhgan Sedaghatzadeh,
Volume 13, Issue 4 (Oct & Nov 2019)
Abstract
Background and Aim: Infertility is a chronic disease with a long-term treatment and self-care leads to an increase in the level of knowledge and awareness about the disease. Moreover, smartphones provide access to information at any time and place; therefore, by using the mobile-based assisted reproductive technology, a self-care application program can be a good choice to help people gain awareness and improve the treatment.
Materials and Methods: Library resources and related and similar applications were studied. Then, data items and the sections required for applied program were identified. To study their importance, a survey was performed on the working members of Iran Helal Infertility Specialty Center. Out of the 35 members of the research community, 20 were randomly selected. The survey questionnaire was made with 32 questions in three sections. In this survey, the data model framework was confirmed; however, the basis of the tools framework didn't need the confirmation of validity and reliability since the data model was designed based on the reference. With summarization of responses, data items and sections specified in designing the program were applied.
Results: The mean of the scores showed that the respondents had identified most of the items as essential. This survey had three main axes. The mean scores of axes of patient information, patient education, and disease management tools are 4.205, 4.402 and 4.275, respectively. The mean scores above 4 show that their effectiveness is very high.
Conclusion: Considering the results, the designed application program can be helpful for patients.
Reza Safdari , Niloofar Mohammadzadeh , Nasim Shokouhi, Azizeh Farzinmehr, Mehrshad Mokhtaran, Shahrbanoo Pahlevanynejad, Mahnaz Mirsane,
Volume 13, Issue 5 (Dec & Jan 2020)
Abstract
Background and Aim: Pelvic floor disorders are a common disease which, with varying degrees of severity, disrupts daily life and also decreases the quality of life of the individual. This disease can be cured by lifestyle modifications and self-care education; on the other hand, smartphones have become a good platform for health services and therapeutic interventions. The aim of this study was to identify information and educational components for the self-care application of women with pelvic floor disorders.
Materials and Methods: This descriptive study was performed in Yas Hospital affiliated to Tehran University of Medical Sciences. According to Morgan table, 30 gynecologists who were randomly selected were included in the study. The data gathering tool was a researcher-made questionnaire which its validity and reliability were confirmed (α=0.85) and its content was provided by reviewing the scientific sources.
Results: The results of the analyzes showed that from the experts’ point of view the interventional section including reminders, daily activities diaries and targeting with an average score of 4.14 has been of great importance. Since then, the applied and self-care section with an average score of 4.364is ranked second in priority.
Conclusion: According to a survey by experts who play a major role in the management of the disease. The essential components of this application were identified in three main sections consist of: electronic records, the interventional section and the practical and self-care and their subsections.
Reza Safdari, Seyed Sina Marashi Shooshtari, Marzieh Esmaeili, Fozieh Tahmasbi, Zohreh Javanmard,
Volume 13, Issue 6 (Feb & Mar 2020)
Abstract
Background and Aim: The importance of managing medicines and medical devices as vital resources in healthcare industry cannot be ignored. Therefore, the application of coding systems could be of great help in the control of the required processes. This study aims to develop a coding system for medicines and medical devices in Iran.
Materials & Methods: This descriptive study was planned to be carried out in four phases from September 2018 to August 2019. To identify the requirements of designing a coding system for the classification of medicines and medical devices, library resources were studied, and the existing coding systems in the area of medicines and medical devices came under scrutiny. Then, based on the expert opinion on the results, the initial model of the coding system was designed.
Results: Thirty-five coding systems were identified and investigated. To design the proposed system, two coding systems -- ATC/DDD and UMDNS -- were selected as a core for medicines and medical devices, respectively. Then, based on expert opinion, the axes for the place of consumption and the placement of products and also the application of Quick Response (QR) code for data encoding were added.
Conclusion: The design and development of a comprehensive coding system–which is in compliance with the international protocols and capable of including both medicines and medical devices simultaneously – could be very helpful. Besides, using the location axis in the structure of coding system can improve the management of these products.
