مرجان قاضی سعیدی

The use of Mobile-Health is helpful in facilitating therapeutic communication between students and healthcare providers. Considering the benefits of the Mobile-Health, it is very important to have a tool that can check the motivation to use Mobile-Health. Therefore, this study was conducted with the aim of Psychometric properties of mHealth Technology Engagement Index.

The present study is psychometric research that was conducted in Tehran University of Medical Sciences in 1401. The participants of this study were 450 students of medical sciences in Tehran in undergraduate, master’s and doctorate levels who were included in the study through convenience sampling. The psychometric characteristics of the questionnaire were examined through face, content and construct validity respectively. Principal component analysis was performed using varimax rotation in order to check the factorial structure of the questionnaire. The reliability of the questionnaire was checked with the help of Cronbach’s alpha and intra- class correlation (ICC).

The questionnaire’s content validity ratio (CVR) and content validity index (CVI) were 0.91 and 0.86, respectively. In the formal validity check, minor changes were made in the words of most of the items. Based on the results of face validity, some minor changes were made to the vocabulary of most items. The ICC coefficient was more than 0.80 in all dimensions. The results of exploratory and confirmatory factor analysis extracted five factors, autonomy, competence, relatedness, goal setting and goal attainment, and their cumulative variance was %71.48.  The fit of the five-factor model was optimal based on standard goodness of fit indices such as CFI=0.978, GFI=0.930, RMSEA=0.040, CMIN/DF=1.307. Convergent and divergent validity was accepted for all factors. The reliability of the questionnaire was obtained using Cronbach’s alpha test of 0.71.

The five factor structure of the questionnaire of interaction with mobile health technology has good validity and reliability. Therefore, this questionnaire can be used to check the level of interaction of users of medical science students with mobile health technology.

Despite the continuous progress in medicine, COPD (Chronic Obstructive Pulmonary Disease) is still a progressive, incurable and chronic respiratory condition that limits the patients’ functions in various dimensions, and significantly reduce their quality of life. In this way, self-care of patients and the use of related tools have a significant effect in disease control and treatment. The purpose of this research was design and development of an android-based application for COPD.

This research was a descriptive developmental type with a practical approach. Initially, based on the study of library resources, guidelines, and the examination of the medical records of COPD inpatients in Firouzabadi Hospital, a questionnaire was designed to identify the information requirements, data items and features of the application. Then it was reviewed and finalized by a sample of 10 (randomized and convenience sampling) internal and lung specialist doctors in Firouzabadi and Hazrat Rasool hospitals affiliated to Iran University of Medical Sciences. The data was analyzed using descriptive statistics, and then scenario tables and UML diagrams were illustrated to show the overall flow of the application. The application was designed and developed using the Java programming language in the Android Studio 2021 platform. After installing the application on the mobile phones of ten COPD patients of the internal and pulmonary clinic of Firouzabadi Shahre Rey Hospital, and using it for a week, the opinions of the patients about the usability of the application were collected through the QUIS questionnaire, and analyzed. 

Application sections were determined following experts’ survey, personal information items, clinical information, disease management, reporting, and training points, which were provided to patients after design for use and evaluation. At the end of the research, the results of the evaluation of the usability and satisfaction level of the application showed that from the patients’ point of view, the application is at a good level with an average score of 1.8 (out of 10 points).

The developed self-care application can be used to increase awareness, help to manage the disease, increase the level of quality of life, and reduce the complications and disease burden for patients with COPD.

Computerized programs for brain empowerment with regular, intensive, and continuous cognitive exercises improve cognitive functions such as attention in attention deficit hyperactivity disorder. This review study aimed to identify effective computerized programs for improving attention in children and adolescents with attention deficit hyperactivity disorder (ADHD).

This descriptive narrative review was done in 2018 through library review and searching keywords including "attention deficit hyperactivity disorder", "computerized cognitive rehabilitation programs", and "play therapy" in databases such as PubMed, Scopus, and Google Scholar. The results of this review were investigated through the semi-structured interview and classified based on the attention areas of children and adolescents with ADHD.

Based on the review, Caption Log, Pay Attention, Cogmed Working Memory, Memory GYM, Attention GYM, Brainware Safari, 8 Sciences' ACTIVATET, Lumosity, My Happy Neuron, Smart Driver, and educational packages such as Maghzine were effective programs to improve different types of attention (focused, divided, intermittent, continuous, and selective) in the ADHD children aged four years old and older.

Considering the significant effects of computerized cognitive rehabilitation programs in empowering cognitive skills such as attention, their use as a complementary treatment in improving the quality of life of children and adolescents with ADHD is promising. However, it is suggested to evaluate such programs with larger samples, transfer their educational effects to daily life, and improve their quality by providing more components of such programs.

 Telemedicine provides medical services remotely. There are some problems with implementing telemedicine projects. The purpose of this study was to investigate the most common telemedicine services in Iran and other developed countries as well as examine the legal, financial and privacy challenges of telemedicine services in these countries, especially in the era of the COVID-19 epidemic.  

 In this study, the status of telemedicine in Iran and developed countries was reviewed. Thus, related papers and grey literature were retrieved from PubMed, Scopus, SID and Magiran scientific databases. Also, related websites including the Ministry of Health and Medical Education of the Islamic Republic of Iran were examined. According to the study’s purposes, the relevant resources were selected and summarized by researchers.       

 Radiology, psychiatry and cardiology are the most widely used telemedicine services for interaction with patients as well as emergency, pathology and radiology for healthcare professional communication. Teleconsulting is the most widely used telemedicine service in Iran. There are some laws such as article 74 from section 14 in the Iran development plan to support the provision of e-health and telemedicine services. Also, there are some limited laws for patients’ privacy. In Europe, there is a set of guidelines for health websites, mobile health and cross-border exchange of health information, etc. although there are no uniform laws about telemedicine. HIPAA in the United States and GDPR in Europe are some privacy laws in developed countries. There are some restrictions on telemedicine reimbursement in the United States including the fee-for-service payment model; however, the costs of telemedicine in the United States are usually less than face-to-face treatment. 

 In the present era using telemedicine services become a requirement due to the outbreaks of epidemics such as COVID-19. Concerning the experience of developed countries, telemedicine services development in Iran requires some considerations in terms of legal, financial and privacy aspects including the creation of explicit laws on patients and healthcare provider’s rights, providing the telemedicine guidelines in different clinical fields such as structured formats for teleconsultation as well as the explicit laws for preserving the patient’s privacy.

In this study, in order to increase the visibility of articles in Scopus journals of Tehran University of Medical Sciences (TUMS), selective dissemination of information (SDI) service was presented and its impact on some citation indices was investigated.

This is a semi-experimental study of two groups (pretest-posttest design with a control group). In this study, TUMS Scopus indexed journals (20 titles) were randomly divided into test and control groups  and their citation indices were assessed. Then, the SDI services for test group journals were designed based on PubMedchr('39')s Alert system and presented to the universitychr('39')s top researchers for one year. Finally, the citation indices of the journals of test and control groups were reassessed and compared. For data analysis, independent t-test, paired t-test and, covariance analysis were used.

Comparison of mean citations as well as SJR, SNIP and CiteScore indices before and after the intervention showed no significant difference between the test and control groups. But the average CiteScore in both groups after the intervention was significantly higher than the average before the intervention. 

The results showed that the provision of the aformentioned services in the time period defined in this study had no significant effect on the citation indices. However, the valuable experiences gained in this study will undoubtedly be applicable to future research as well as services to researchers, librarians, and journal managers.

Diabetes is one of the most common metabolic diseases in the world, of which one of the most common and painful complications is diabetic foot ulcer. The accuracy and comprehensiveness of the contents of electronic medical record is effective in improving the quality of treatment and the care of diabetic foot ulcer patients. The aim of this study is to determine the minimum data set(MDS) essential for diabetic foot patientschr('39') electronic medical records.

In this descriptive-analytical study, authoritative internet and library resources were studied to collect diabetic foot ulcer information elements. Fourteen physicians and nurses working and collaborating with the Wound Healing Center affiliated to Academic Center for Education, Culture and Research(ACECR) were selected for clinical survey, and 5 health information technology specialists of Tehran University of Medical Sciences(TUMS) were chosen for demographic information survey. The study tools were a researcher-made questionnaire, CVR content validity method and test-retest method for reliability. 

Out of 23 information elements surveyed in demographic section, cases above 99% of the agreement were selected. Also, out of 86 information elements of the clinical section, more than 51% of the cases were selected. Clinical experts included 6 wound specialists, 4 general practitioners and 6 nurses. In the demographic information section, the lowest agreement was related to the element of identity and Education level with 20% agreement. In clinical information, the lowest agreement was related to surgery, leech therapy and MRI of the foot with 0% and PRP, G-CSF, Sono-Doppler liver with 14%.

The minimum information elements of diabetic foot ulcer electronic medical record were divided into history, wound information, lower limb information, paraclinical results, wound management, and follow-up in clinical section; and in demographic information section,  they were divided into identity, admission, finance, reporting, and system capability. The proposed model for manual and electronic medical records is available.

When clinical decision support systems are developed, implementing solutions that enable these systems to be -used on a large scale can reduce the production costs associated with the creation, maintenance and by sharing these systems, producing multiple clinical decision support systems will be prevented. In recent years, one of the approaches used for this purpose in combination with clinical decision support systems is the service-oriented architecture approach. The purpose of this study was to investigate the role and importance of service-oriented architecture in delivering scalable architectures of clinical decision support systems focusing on different approaches to this architecture.

This article is a simple review article. Bibliographic databases of IEEE Explore, Science Direct, Springer, Web of Science, and Scopus were reviewed. The keywords "Service Oriented Architecture" and "clinical decision support systems" were used as keywords along with related terms for searching these databases.

The clinical decision support systems based on service-oriented architecture brings benefits such as Facilitate knowledge maintenance, reducing costs and improving agility. Point-to-point communication, enterprise service bus, service registry, clinical and engine guiding engine, and service choreography and orchestration are general architectural designs that are evident in the use of web-based clinical decision support systems based on a service-oriented architecture approach.

Service-oriented architecture is a potential solution for delivering scalable platforms for clinical decision systems.

This article has no abstract.

The identification of asthma risk factors plays an important role in the prevention of the asthma as well as reducing the severity of symptoms. Nowadays, the identification process can be performed using modern techniques. Data mining is one of the techniques which has many applications in the fields of diagnosis, prediction, and treatment. This study aimed to identify the effective factors on asthma to provide a predictive model using data mining algorithms. This descriptive study with a practical approach included 220 data bases. The data were collected using a checklist and interviews from the patients referred to clinical centers of Shahid Sadoughi Hospital in Yazd, Iran, during 2014. The data were analyzed in SPSS IBM Modeler software (Version 14.2). Moreover, the CHAID decision tree,C5 algorithm, neural network algorithm, and Bayesian network algorithm were utilized in the modeling. In total, 12 variables were determined as the most influential factors in this study. The accuracy of the model on the data was estimated at 72.73%, 69.1%, 70.9%, and 65.45% in the CHAID algorithm, C5, Bayesian network, and the neural network, respectively. According to the results, the performance accuracy of the model obtained from CHAID decision tree algorithm (73/72%) was higher than that of the other models. Moreover, an individual’s risk of asthma can be predicted with regard to the predictive factors and the established rules for a new sample with distinctive features.

Arthritis Rheumatoid is a progressive Chronic disease requiring constant care, and it is important to consult a physician for change in treatment, to see the progress of treatment, and to control the side effects of the drug. One of the information systems used to record information of diseases is the registry or registry system of the disease, which is a database that contains specific information about those who are suffering from a specific illness. Also it is an ideal tool for clinical study. The first step to design a registry is to identify the information needs of the system. In this study, 40 randomly selected rheumatologists were entered. The data collection tool was a researcher-made questionnaire including general information, clinical involvement, clinical information, laboratory, imaging, hospitalization and death information; its validity was confirmed by experts and its reliability was estimated by test-retest. After reviewing the average scores, the importance of general information, clinical involvement, clinical information, laboratory, radiology, hospitalization and death information were obtained: 92.9%, 84.8%, 86.2%, 81.2%, 97.04%, 87.2% and 81.2%, respectively. Based on the goals that registries follow, they record different data. Identification of information needs through the involvement of physicians as the experts of this field affects the effectiveness and efficiency of the system. The result of this study is the identification of information needs for designing a registration system for patients with Rheumatoid Arthritis. This information is presented in seven categories.

  Artificial intelligence is a branch of computer science that has the ability of analyzing complex medical data. Using artificial intelligence is common in diagnosing, treating and taking care of patients. Warfarin is one of the most commonly prescribed oral anticoagulants. Determining the exact dose of warfarin needed for patients is one of the major challenges in the health system, which has attracted the attention of researchers. The purpose of this study was to determine the exact dose of warfarin needed for patients with artificial heart valves using artificial neural networks (ANN). A total of 9 multi-layer perceptron ANNs with different structures were constructed and evaluated based on a dataset including 846 patients who had referred to the PT clinic in Tehran Heart Center in the second half of the year 2013. Finally, the best structure of ANN for warfarin dose was investigated. All simulations including data preprocessing and neural network designing were done in MATLAB environment. The effectiveness of ANNs was evaluated in terms of classification performance using 10-fold cross-validation procedure and the results showed that the best model was a network that had 7 neurons in its hidden layer with an average absolute error of 0.1, turbulence rate of 0.33, and regression of 0.87. The achieved results reveal that ANNs are able to predict warfarin dose in Iranian patients with an artificial heart valve. Although no system can be guaranteed to achieve 100% accuracy, they can be effective in reducing medical errors.

In advanced medicine, large amounts of data are produced. However, there is always a gap between their collection and their understanding and interpretation. Thus, the minimum data sets are prepared. Thalassemia major is a chronic genetic blood disorder and the most common genetic disorder in the world. So, the aim of this study was to determine the data set for personal health record of patients with major thalassemia.
This present applied research was done descriptively by Delphi method. To determine the dataset, the manual health records of thalassemia major patients were first evaluated based on the standard paper forms of the Ministry of Health, and the data required were collected according to the checklist. The questionnaire w first reviewed by a 6-expert team. Its content validity was determined by the team and its reliability by Cronbach's alpha as 96%. Then, a researcher-made questionnaire was prepared and surveyed among 113 experts on blood and oncology specialists around the country (Iran).
from the 126 information element data surveyed, 117 IEDs were identified as the main elements with the agreement of more than 75% in the range of high and very high, while nine elements with the agreement of less than 50% in the range of low and very low were excluded from the elements list of personal health records of thalassemia patients. The information element data with the agreement of 50 to 75 in the range of moderate to high was not found in the survey. Finally, the minimum data set of individual health records of patients with thalassemia major was provided in 9 groups of demographic information, health history information, assessment information, laboratory data, drug information, blood transfusion, physical examinations, immunization (vaccination) and dental care.
In this study, the data elements were defined for personal health record of thalassemia patients. These data elements are considered as an appropriate data set for inclusion in the manual systems and electronic medical records and based on the patient's needs can be changed to be used as a national document.

Glaucoma, with an increasing pressure inside the eye, is one of the causes of blindness worldwide. The only glaucoma treatment is regular eye examination and control of intraocular pressure (IOP). The centralized information obtained from these examinations is an essential prerequisite for providing optimal healthcare which is possible by creating electronic records. Minimum Data Set (MDS) is a standard tool for getting access to accurate data, which is among the basic needs for the design of electronic records.
This is descriptive-analytical study. The population of this study consisted of glaucoma patients’ medical records at Farabi Eye Hospital, reference books, and glaucoma specialists. The data collection tool was a questionnaire -- containing patient's records, and demographic and clinical data -- which was distributed between 22 available glaucoma specialists. The validity of the questionnaire was assessed by an expert team and its reliability was determined by test-retest method. Data analysis was performed by calculating the frequency percentage and Delphi test.
After reviewing the rate of experts’ agreement with the components of the survey, all of the cases with over 75% approval rate were considered as minimum data set for glaucoma. Minimum data set was divided into three general categories: patient's records, demographic data, and clinical data.
Determination of minimum data set for glaucoma will be an effective step to integrate and improve the management of patients’ records. Moreover, it will be feasible to store and retrieve such records.

Aim: In all societies, burn is a health cause’s physiologic mental economic and health disorder both for the patient and its family challenge and more than any other trauma. Cases such as lifestyle, social, economic, and cultural levels of society can change the type of burns. Given that data mining is growing and new, it is also of great importance to medical data. Therefore, in this project, the intention is to collect data using actual data mining techniques and in view of the prevalence of burns in developing countries, a model for establishing a meaningful relationship between the economic and social status of individuals develop burns as a result of their treatment.
The present study is analytic-descriptive based on retrospective nature. The population of the study consists of 553 patients all adult burn patients who were hospitalized in Ayatollah Taleghani hospital in Ahvaz for 3 years (1388-1390).data have been collected from check lists and questionnaire. The collected data were computed using spss22, IBM Modeler 14.2 and algorithm of C5.0, CHAID and CART.
The predicted model for the outcome of burn on patients conducted through selected algorithms in order of priority including factors of burn, occupation, capsule at home, place of incident, residential area, and rate of income, intent, gender and education.By comparing the accuracy of the algorithms, the highest accuracy is for the C & R algorithm (0.87), the most characteristic of the CHAID algorithm (0.98) and the most sensitivity was obtained for the C & R algorithm (0.50). Given the superiority of the C & R model, this model was recognized as the top model in terms of the accuracy and sensitivity of the models.
Due to the average accuracy of suggested models, these models are both valid and attributable. The results of this study can be useful for the prediction of the impact of socioeconomic factors on burnout outcomes.

Aim: Knee arthroplasty is one of the best treatments to reduce pain and improve quality of life in cases of osteoarthritis resistant to osteoarthritis, however since it is an offensive act and delayed arthroplasty may lead to unwanted side effects after surgery. Therefore, the correct and timely selection of the patient for knee arthroplasty is important so it is necessary to collect standard and integrated data necessary. The purpose of this research is to identify minimum data requirements for predicting knee arthroplasty in patients with osteoarthritis.
This is a descriptive study conducted in 2017. Effective factors in knee arthroplasty prediction were identified Through library research and Internet search of keywords such as total knee arthroplasty, minimal data set, ... in valid databases such as PubMed, science direct, ... and the Google search engine Scholar. Sampling was done using Morgan table 32 faculty members of where rheumatology specialist at Tehran University of Medical Sciences were selected as sample. Validity of the questionnaire was assessed by Health Information Management Professors and its reliability was 82% Cronbach's alpha in SPSS 16 software. Results were analyzed using Excel software.
The results of the two-stage Delphi technique include: nonclinical data (age, body mass index) and clinical data (rest pain, activity pain, quality of life, the x-ray findings, knee instability, knee deformity, and limited mobility). These are the Minimum data necessary for predicting the need of knee arthroplasty in osteoarthritis patients.
The results of this study can be considered as the first step in the development of intelligent knee arthroplasty prediction systems. Using these systems will be very useful in managing the waiting list of surgery in health centers.

Thalassemia is a chronic disease which is extremely expensive, complex and debilitating. The management skill of thalassemia patients should be enhanced to minimize the risk of disease complications. The main purpose of this study was to develop personal electronic health records for thalassemia major patients.
This is a developmental applied study which was conducted to develop a personal electronic health record for thalassemia major. First, a questionnaire was prepared to determine the data elements and was filled by Hematology and Oncology professionals in the country (110 persons). Then, based on the results of needs analysis, the system was designed using PHP programming language and MySQL database and was evaluated by 50 thalassemia patients who referred to the Thalassemia Clinic of Bu Ali Sina Hospital of Mazandaran University of Medical of Sciences during the second half of the month of Aban. Finally, a standard questionnaire of usability and user satisfaction assessment was distributed among them.
Usability evaluation of the system showed that patients evaluated the system at a good level with a mean rating of 7.91 (out of 9 points).
The web-based systems can be used to help thalassemia patients to control injection and reduce the complications of the disease and to promote health.

Nowadays there is no absolute treatment for gestational diabetes. Therefore, lifestyle management and selfcare are highly recommended. In this regard¡ the use of information technology such as mobile phones can help in the process of self-care to pregnant mothers. The purpose of the present research was designing and development of gestational diabetes self-care system based on mobile phones.
This applied-developmental study was done based on 4 phases. These phases included: determining the required data through the related literature review and questionnaires, designing processes scenarios and drawing the UML graphs through Rational Rose software, creating a prototype system using the Java programming language in Android studio software environment, and system usability evaluation via questionnaire.
In the first phase, 4 data elements were eliminated and 39 (with at least 55% response frequency) were considered necessary. In the fourth stage, with acquiring a minimum average score of 6.1, evaluators were satisfied with the usability of all aspects of the system.
The findings concerning determination of the required data based on the mobile phone system, designing, creating and consequently evaluating it in all usability axes indicated a good level of system usability. Accordingly¡ it is suggested that future studies be performed on clinical trials effectiveness of using this gestational diabetes self-care software or similar systems designed to control the diet of these patients.

Production of mobile health apps and their use has grown increasingly in recent years which indicate the profound influence of these apps on health care processes and health of the community. Mobile health apps must be made on the basis of reliable scientific resources so that users can use them with confidence. Therefore, this study aimed to investigate the reliability of resources used in the creation of the content of the top Persian mobile health applications.
In this descriptive, cross-sectional study conducted in March 2015, 200 of the top mobile health applications were installed, and their references and some of their other features were studied. The data were collected using a checklist, entered into an Excel spreadsheet, and were analyzed using descriptive statistics.
Review of the references used in the apps studied showed that 20% of them had no list of references, and only 5.10% (21 cases) used content from reliable sources.
The results of this study are applicable to taking control of the quality of mobile health apps and helping users have access to high-quality and reliable apps by regulatory agencies.

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.
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.
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).
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.

Information technology has an important role in scientific, social, economic and health advancement. National health portals though an integrated access to resources, applications and databases, can provide access to a wide range of sources of information for patients and health-care providers. Therefore, the present study was conducted to review the structural and content features of national health portal in selected countries and make recommendations for developing such portals in Iran.
: In this descriptive and applied study, Denmark, Finland, Sweden, Norway, India, Australia and the Netherlands were selected for investigation. Using a checklist, we observed and compared the content and structural features of the health portals in the selected countries.
All the portals have common features such as patient's and physician's access to public health information, medical and health information, physician's access to patient's health data, capability of search and navigation, security mechanisms and possibility to send feedbacks to authorities and managers of the portal.
Conclusion Developing a national health portal with all the desired features and functionalities requires a strategy for development, updating and continuous user's needs assessments.

The objective of this study was to design electronic card of health for schizophrenic patients to better manage their clinical information.
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 patient's electronic health cards, various software were studied to design database, card and card reader.
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.
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.

Electronic records can be used as one of the key technologies in health care field. Electronic record, with its several capabilities, is an efficient tool for documentation, information exchange and cooperation of health care organizations. The aim of this study was to design an electronic record based on the traditional medicine approach for infertile patients.
The present study was an applied- development research. First, information requirements questionnaire was filled out by 20 traditional medicine specialists and the obtained data were analyzed through SPSS22 software. Then, a system based on data was designed and given to 10 traditional medicine specialists for evaluation of its practical use and patients’ satisfaction rate.
A majority of data elements in the questionnaire were found necessary by the respondents and in relation to practical use, it gained mean score of 8.6 (out of 9). The designed system, in addition to providing data storage, retrieval and reporting is capable of changing the used data, creating new forms and displaying items with different sizes and types according to the user’s comments and without any need for programming.
According to the obtained results, the electronic medical record designed based on traditional medicine approach was an effective step in managing health data of infertile patients. Designing electronic record based on traditional medicine approach for infertile patient’s increases efficient performance, function, storage and retrieval of health data.

Patients with heart failure experience debilitating symptoms lowering their life quality. Patients must use several methods of self-care in order to reduce symptoms and the rate of hospitalization and to improve their quality of life. The main purpose of this study was to design and create a mobile-based self-care application for patients with heart failure.
This was an applied developmental study. Initially, a questionnaire was prepared to assess information requierments, determine data elements and necessary capacities of the application. Then, 20 cardiologists working in Shahid Madany hospital, the specialty center of cardiovascular surgery affiliated to Tabriz University of Medical Sciences were asked to fill out the questionnaire. The obtained data were analysed and the application was developed accordingly. Finally, in order to evaluate its practical capability and patients’ satisfaction rate, it was used by 10 patients with heart failure.
The majority of data elements in the questionnaire were found necessary by the cardiologists. The main features of the designed application included alerts for daily monitoring, visit time and reminders of time of drug use, hypertention, increase of heart rate and weight gain. In evaluation of practical capability of the application by patients, it was evaluated in a good level with the mean score of 7.8 (out of 9).
Mobile-based self-care applications can be used to help patients with heart failure to manage their disease and to obtain self-care skills.

Results of previous studies have showed that there is no comprehensive and standard model for the development of Electronic Health Record (EHR). Therefore, in this study, with the aim of proposing a set of applicable standards for EHR development in Iran, different standards were compared in terms of structure and content, architecture and function aspects.
This comparative study was done in 2017 to compare standards of ASTM, HL7 and ISO organization based on their content. Then, a set of required standards for the development of a national electronic health record was suggested.
ASTME1384 not only included structure and content standard of EHR and CCR user friendly architecture, but also it considered data exchange. Executive function of HER in DSTU-functional model was significant achievement of Hl7. ISO18308 contained requirements for structure and content of EHR and ISO18306 presented interoperability of data comprehensively.
In spite of different activities of standardization organizations in various fields of EHR development, each of them is more comprehensive in some specific aspects. According to the obtained results, for successful development of HER, E1384 is suggested for structure and content, CDA for architecture and DSTU conformance criteria for evaluation.