Strengths, weaknesses, opportunities, and threats (SWOT) of the electronic prescribing systems executed in Iran from the physician's viewpoint: a qualitative study.

BACKGROUND: Electronic prescribing (e-prescribing) is an essential technology in the modern health system. This technology has made many changes in the prescription process, which have advantages and disadvantages and have created opportunities for transforming the health system. This study aimed to investigate the strengths, weaknesses, opportunities, and threats of the e-prescribing system implemented in Iran from the physician's viewpoint. METHODS: This phenomenological qualitative study was conducted in 2022. The participants were 15 Iranian specialist physicians working at Urmia University of Medical Sciences, selected purposively and deliberately. Data was collected through in-depth semi-structured interviews using an interview guide comprising 16 questions. Interviews were conducted until data saturation was reached. The audio data was transcribed into text and analyzed using the thematic analysis. To ensure the validity and reliability of the findings, the criteria introduced by Lincoln and Guba were employed. RESULTS: The results of this study showed that the e-prescribing system executed in Iran has diverse and multidimensional strengths, weaknesses, opportunities, and threats. In the strengths section, the analysis of the interviews led to the extraction of semantic units in the categories of prescription process, prescriber, patient, technical, economic, communication, and insurance. Also, the weaknesses in the three categories of the prescriber, patient, and technical were debatable. The opportunities extracted from the narratives of the interviewees were placed in four categories including technical, national macro policies, Ministry of Health macro-policies, and socio-cultural issues. Finally, the discussed threats are classified into two technical and macro policies of the Ministry of Health categories. On the other hand, technical issues played an effective role in all aspects of the SWOT model. CONCLUSION: The e-prescribing system in Iran has strengths, weaknesses, opportunities, and threats. An overarching factor across all aspects of the SWOT model was technical infrastructure. A robust technical infrastructure is considered a strength and an opportunity for the growth of the electronic prescribing system in Iran. Conversely, any shortcomings in these systems are viewed as weaknesses and pose a threat to the system's sustainability.

End-users' perspectives on factors affecting implementation and utilization of the Iranian electronic health record system: a qualitative study in a developing country.

BACKGROUND: As one of the most important information technologies for storing, managing, and exchanging health information, the electronic health record (EHR) plays a major role in the health system. However, these systems in developing countries have been associated with multidimensional issues. The purpose of the present study was the assessment of nonclinical end-users' points of view on the implementation and utilization of the Iranian electronic health record system. METHODS: This was a large qualitative study conducted in 2021 for 7 months from February to August. In this study, data were collected through in-depth semi-structured interviews with 70 non-clinical end-users in 22 public and six private hospitals of West Azerbaijan province in Iran. To analyze the data, the thematic analysis method was used. RESULTS: The study results indicated that technical, human, cultural, managerial, and financial readiness are the most important factors affecting the implementation of EHRs in Iran. Among the mentioned factors, technical and human readiness were emphasized more by the users. Also, technical, organizational, human, and managerial factors were identified as factors influencing EHRs utilization, and technical and organizational factors had a stronger role in the system utilization. CONCLUSIONS: According to the results, several factors influence EHR implementation and adequate utilization in Iran. To achieve the predetermined goals of this system, implementation issues and problems of using the system should be considered and solved.

Effectiveness of a self-management mobile app on the quality of life of women with breast cancer: a study in a developing country.

BACKGROUND: Self-management involves taking responsibility for personal health and taking the initiative to do so. This can be accomplished by learning information and skills that will help consider the difficulties may encounter during and after cancer treatment. With this perspective, we have aimed to develop a self-management mobile app for women with breast cancer in Iran and evaluate its impact on the quality of life of patients. METHOD: This study is a methodological study in 2021. We developed the app during three phases. The first phase aimed at identifying educational content and designing user experience, the second phase aimed at developing and implementing the app, and the third phase aimed at evaluating pre-and post-implementation. RESULT: In this study, an Android app for self-management women with breast cancer was developed. According to the results of the pre-and post-implementations among the most significant changes were in the quality of life level, highest respectively: social avoidance (Pre: 6.41-Post: 3.56), negative feelings (Pre: 5.93 - Post: 3.40), sexual function (Pre: 6.80 - Post: 5.04), sexual interest (Pre: 6.41 - Post: 4.75) and pain (Pre: 6.37 - Post: 4.97). And least the changes respectively: distress-family (Pre: 7 - Post: 7), distress-recurrence (Pre: 4.49 - Post: 4.38), benefits (Pre: 2.47 - Post: 3.12), appearance (Pre: 4.10 - Post: 3.32). Also, we calculated the usability evaluation of this app with the system usability scale (SUS); the overall rating score was 83/100, an excellent level (> 80.3), and a grade A. CONCLUSION: The study shows that a breast cancer self-management app can support and improve the quality of life of women with breast cancer. We conducted this study to show that by developing a self-management app, women with breast cancer can improve their quality of life, - by increasing their self-management skills.

Evaluation of blended medical education from lecturers' and students' viewpoint: a qualitative study in a developing country.

BACKGROUND: To improve the quality of education, many academic medical institutions are investing in the application of blended education to support new teaching and learning methods. To take necessary measures to implement the blended learning smoothly, and to achieve its goals, we aimed to identify its strengths, weaknesses, opportunities, and threats (SWOT) from its key users' viewpoints. METHODS: A qualitative study consisting of 24 interviews with lecturers and students and document analysis was conducted at Urmia University of Medical Sciences, in Iran, in 2018. The SWOT framework was used to analyze the data. RESULTS: The most important strengths were the promotion of lecturer-student interactions, the focus on students' learning needs and self-learning, and problem-solving skills. The supports of university executives, alignment with the national health education transformation plan, and access to the shared infrastructures of the national virtual medical science university were opportunities to facilitate its implementation. However, this endeavor had weaknesses such as bottlenecks in technical, organizational, and human resource infrastructures and lack of culture readiness. The threats envisioned for its maintenance were its dependency on the education transformation plan and the lack of an independent e-learning center for better planning and support services, lack of proper evaluation and supervision of virtual activities, and insufficiency of the privileges considered for users. CONCLUSIONS: One of the important implications of this study is that different aspects surrounding blended learning might work as a double-edge sword from time to time, which requires a thorough overview. While retaining the strengths and enjoying the opportunities in such interventions, the weaknesses should be recognized and threats are faced and addressed. Therefore, if the SWOT items are considered mindfully, they can help to adopt the right implementation strategies to reap full benefits.

Identification of high-risk non-synonymous SNPs (nsSNPs) in DNAH1 and DNAH17 genes associated with male infertility: a bioinformatics analysis.

Male infertility is a significant reproductive issue affecting a considerable number of couples worldwide. While there are various causes of male infertility, genetic factors play a crucial role in its development. We focused on identifying and analyzing the high-risk nsSNPs in DNAH1 and DNAH17 genes, which encode proteins involved in sperm motility. A total of 20 nsSNPs for DNAH1 and 10 nsSNPs for DNAH17 were analyzed using various bioinformatics tools including SIFT, PolyPhen-2, CADD, PhD-SNPg, VEST-4, and MutPred2. As a result, V1287G, L2071R, R2356W, R3169C, R3229C, E3284K, R4096L, R4133C, and A4174T in DNAH1 gene and C1803Y, C1829Y, R1903C, and L3595P in DNAH17 gene were identified as high-risk nsSNPs. These nsSNPs were predicted to decrease protein stability, and almost all were found in highly conserved amino acid positions. Additionally, 4 nsSNPs were observed to alter post-translational modification status. Furthermore, the interaction network analysis revealed that DNAH1 and DNAH17 interact with DNAH2, DNAH3, DNAH5, DNAH7, DNAH8, DNAI2, DNAL1, CFAP70, DNAI3, DNAI4, ODAD1, and DNAI7, demonstrating the importance of DNAH1 and DNAH17 proteins in the overall functioning of the sperm motility machinery. Taken together, these findings revealed the detrimental effects of identified high-risk nsSNPs on protein structure and function and highlighted their potential relevance to male infertility. Further studies are warranted to validate these findings and to elucidate the underlying mechanisms.

Identification of root causes of clinical coding problems in Iranian hospitals.

BACKGROUND: Improving the quality of coded data requires the identification and evaluation of the root causes of clinical coding problems to inform appropriate solutions. OBJECTIVE: The objective of this study was to identify the root causes of clinical coding problems. METHOD: Twenty-one clinical coders from three cities in Iran were interviewed. The five formal categories in Ishikawa's cause-and-effect diagram were applied as pre-determined themes for the data analysis. RESULTS: The study indicated 16 root causes of clinical coding problems in the five main themes: (i) policies, protocols, and processes (lack of clinical documentation guidelines; lack of audit of clinical coding and feedback to clinical coders; the long interval between documentation and clinical coding; and not using coded data for reimbursement; (ii) individual factors (shortage of clinical coders; low-skilled clinical coders; clinical coders' insufficient communication with physicians; and the lack of continuing education; (iii) equipment and materials (incomplete medical records; lack of access to electronic medical records and electronic coding support tools; (iv) working environment (lack of an appropriate, dynamic, and motivational workspace; and (v) management factors (mangers' inattention to the importance of coding and clinical documentation; and to providing the required staff support. CONCLUSION: The study identified 16 root causes of clinical coding problems that stand in the way of clinical coding quality improvement. IMPLICATIONS: The quality of clinical coding could be improved by hospital managers and health policymakers taking these problems into account to develop strategies and implement solutions that target the root causes of clinical coding problems.

Patients' Perceptions of Applying Information and Communication Technology Tools in Self-care and Factors Affecting It.

INTRODUCTION: In recent years patient self-care has emerged as an important component of disease management programs. The ICT tools facilitate the self-care process with improved access to information resources, effective communication between patients and healthcare professionals, and social support services. AIM: The purpose of this study was identifying the perception of patients from the application of information communication technology in self-care in educational centers of Urmia University of Medical Sciences. MATERIAL AND METHODS: This is a descriptive cross-sectional study conducted in 2018. The studied population consisted 540 hospitalized patients from educational hospitals affiliated to Urmia university of medical sciences. For data collection, a self-designed questionnaire was developed which valid and reliable instrument to be measured. The statistical analysis of data was done using the SPSS Software. RESULTS: more patients' interest to use of ICT tools in case of social media (34%), computer-based (25%) and the most common applications ICT tools included patient education (34%) and searching health information (23%). The most factors effective in the usage of ICT tools by patients were related to ease of using ICT tools (4.82), ICT tools reliability (4.73) and design ICT tools based on patient needs and preferences (4.68) respectively. CONCLUSION: The ICT tools are critical to patient self- care. To encourage more ICT adoption, patients should be made aware of the benefits of ICT and active involvement in the process of technology development. It seems necessary; ICT tools should be designed user-friendly, easy to use, reliable and usable.

The Most Common Smartphone Applications Used By Medical Students and Barriers of Using Them.

INTRODUCTION: Medical knowledge is rapidly expanding and updating. It is very important that students can timely access to information and the latest scientific evidence without any time and place limitation. The smartphone is one of ICT tools that adopted greatly by healthcare professionals. Today, the most medical sciences universities have provided smartphone as an educational aid tool and acquisition licenses for medical apps resources in training of their students. AIM: This research was conducted to determine common smartphone applications among medical students of Urmia University of medical sciences and to identify barriers in using them. MATERIALS AND METHODS: This research was a descriptive type of study carried out in 2016. Population of the study included 530 medical students completing the clinical course in Urmia University of Medical Sciences. Data were collected using researcher-developed questionnaire. The validity of it determined based on the view of experts and the reliability of it obtained by calculating the value of Cronbach's alpha (α = 0.82). RESULTS: 82.3% of the students had smartphone, which in terms of operating system the highest was related Andriod (53%) and iPhone (32%). The most common applications used often by medical students included Up to date, PubSearch, Calculate by QxMD, Epocrates and OMnio. Lack of accreditation of medical apps by valid health institutions (4.63), lack of support and update of applications by their developers (4.44), lack of adequate skill to use applications (4.25) are the most important barriers in using these applications among students. CONCLUSION: To assurance quality of medical apps, it seems very important that academic and healthcare organizations should be involved to develop and update the apps and also provided guidelines for accreditation of apps. It is recommended that for promotion of knowledge and skill of students provide essential educations.

Development of a Minimum Data Set (MDS) for C-Section Anesthesia Information Management System (AIMS).

BACKGROUND: Caesarean section, also known as C-section, is a very common procedure in the world. Minimum data set (MDS) is defined as a set of data elements holding information regarding a series of target entities to provide a basis for planning, management, and performance evaluation. MDS has found a great use in health care information systems. Also, it can be considered as a basis for medical information management and has shown a great potential for contributing to the provision of high quality care and disease control measures. OBJECTIVES: The principal aim of this research was to determine MDS and required capabilities for Anesthesia information management system (AIMS) in C-section in Iran. METHODS: Data items collected from several selected AIMS were studied to establish an initial set of data. The population of this study composed of 115 anesthesiologists was asked to review the proposed data elements and score them in order of importance by using a five-point Likert scale. The items scored as important or highly important by at least 75% of the experts were included in the final list of minimum data set. RESULTS: Overall 8 classes of data (consisted of 81 key data elements) were determined as final set. Also, the most important required capabilities were related to airway management and hypertension and hypotension management. CONCLUSIONS: In the development of information system (IS) based on MDS and identification, because of the broad involvement of users, IS capabilities must focus on the users' needs to form a successful system. Therefore, it is essential to assess MDS watchfully by considering the planned uses of data. Also, IS should have essential capabilities to meet the needs of its users.

Differential Diagnosis of Erythmato-Squamous Diseases Using Classification and Regression Tree.

INTRODUCTION: Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose. OBJECTIVE: we aimed to use the Classification and Regression Tree (CART) to predict differential diagnosis of ESD. METHODS: we used the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. For this purpose, the dermatology data set from machine learning repository, UCI was obtained. The Clementine 12.0 software from IBM Company was used for modelling. In order to evaluation of the model we calculate the accuracy, sensitivity and specificity of the model. RESULTS: The proposed model had an accuracy of 94.84% (. STANDARD DEVIATION: 24.42) in order to correct prediction of the ESD disease. CONCLUSIONS: Results indicated that using of this classifier could be useful. But, it would be strongly recommended that the combination of machine learning methods could be more useful in terms of prediction of ESD.

Electronic health records: critical success factors in implementation.

INTRODUCTION: EHR implementation results in the improved quality of care, customer-orientation and timely access to complete information. Despite the potential benefits of EHR, its implementation is a difficult and complex task whose success depends on many factors. The purpose of this research is indeed to identify the key success factors of EHR. METHOD AND MATERIALS: This is a cross-sectional survey conducted with participation of 340 work forces from different types of job from Hospitals of TUMS in 2014. Data were collected using a self-structured questionnaire which was estimated as both reliable and valid. The data were analyzed by SPSS software descriptive statistics and analytical statistics. RESULTS: 58.2% of respondents were female and their mean age and work experience were 37.7 and 11.2 years, respectively and most respondents (52.5%) was bachelor. In terms of job, the maximum rate was related to nursing (33 %) and physician (21 %). the main category of critical success factors in Implementation EHRs, the highest rate related to Project Management (4.62) and lowest related to Organizational factors (3.98). CONCLUSION: success in implementation EHRs requirement more centralization to project management and human factors. Therefore must be Creating to EHR roadmap implementation, establishment teamwork to participation of end-users and select prepare leadership, users obtains sufficient training to use of system and also prepare support from maintain and promotion system.

Hemodialysis Adequacy Monitoring Information System: Minimum Data Set and Capabilities Required.

INTRODUCTION: In dialysis centers both nephrologists and nurses are faced with the challenge of ensuring reliable and efficient care accordance with the clinical guideline. Hemodialysis adequacy monitoring information system therefore enable the automation of tasks, which ultimately allows doctors and nursing staff more time to dedicate to the individual treatment of patients. Development of the information systems in healthcare has made the use of the Minimum data set inevitable. The purpose of this study was determined MDS and capabilities required in hemodialysis adequacy monitoring information system. METHOD AND MATERIALS: This is a cross-sectional survey conducted with participation of 320 nephrology specialists in 2015. Data were collected using an electronic questionnaire which was estimated as both reliable and valid. The data were analyzed by SPSS software descriptive statistics and analytical statistics. RESULTS: Overall 42 data elements were determined as final set in 4 major categories (patient demographics, medical history, treatment plan and hemodialysis adequacy). The most capabilities required of hemodialysis information system were related to calculate of dialysis adequacy Index (4.80), advice optimal dose of dialysis for each patient (4.63), Easy access to information system without restrictions of time and place (4.61), providing alerts when dialysis adequacy index below the standard (4.55) and Interchange to other information systems in hospitals (4.46) respectively. CONCLUSION: In design and implementation of information systems focus on MDS and identification IS capabilities based on the users' needs, due to the wide participation users and also the success of the information system. Therefore it is necessary that MDS evaluated carefully with regard to the intended uses of the data. Also information systems based on capabilities the ability to meet the needs of their users.

Data Standards in Tele-radiology.

Data standards play an important role to provide interoperability among different system. As other applications of telemedicine, the tele-radiology needs these standards to work properly. In this article, we conducted a review to introduce some data standards about tele-radiology. By searching PUBMED and Google Scholar database, we find more relevant articles about data standards in tele-radiology. Three categories of standards identified, including data interchange, document and terminology standards. Data interchange standards, including those which facilitate the understanding of the format of a massage between systems, such as DICOM and HL7. Document standards, including those which facilitate the contents of a massage, such as DICOM SR and HL7 CDA. And terminology standards, including those which facilitate the understanding of concepts of the domain. Since, the harmonization between different standards are important to meet interoperability, so the more effort is needed to conduct harmonization between tele-radiology standards and other domain.

Development of hospital information systems: user participation and factors affecting it.

INTRODUCTION: Given the large volume of data generated in hospitals, in order to efficiently management them; using hospital information system (HIS) is critical. User participation is one of the major factors in the success of HIS that in turn leads Information needs and processes to be correctly predicted and also their commitment to the development of HIS to be augmented. The purpose of this study is to investigate the participation rate of users in different stages of HIS development as well as to identify the factors affecting it. METHOD AND MATERIALS: This is a descriptive-cross sectional study which was inducted in 2014. The study population consists of 140 HIS users (from different types of job including physicians, nurses, laboratory, radiology and HIM staffs) from Teaching Hospitals Affiliated to Urmia University of Medical Sciences. Data were collected using a self-structured questionnaire which was estimated as both reliable and valid. The data were analyzed by SPSS software descriptive statistics and analytical statistics (t-test and chi-square). RESULTS: The highest participation rate of users in the four-stage development of the HIS was related to the implementation phase (2.88) and the lowest participation rate was related to analysis (1.23). The test results showed that the rate of user participation was not satisfactory in none of the stages of development (P< 0.05). The most important factors in increasing user participation include established teamwork from end-users and the support of top managers from HIS development. CONCLUSION: According to the results obtained from the study, it seems that health care administrators must have a detailed plan for user participation prior to the development and purchase of HIS so that they identify the real needs as well as increase their commitment and motivations to develop, maintain and upgrade the system, and in this way, the success of the system will be assured.