Teleophthalmology: A Systematic Review of Randomized Controlled Trials

Introduction: The aim of this systematic review was to investigate the impact of tele-ophthalmology on screening, monitoring and treatment adherence in eye diseases. Material and Methods: A systematic review of controlled and randomized clinical trial studies without time limit was explored by searching keywords in the title, abstract and keywords of the studies in the reliable scientific databases Embase, Web of Science, Scopus, PubMed on April 20, 2022. A gray literature search was also conducted using the Google search engine to identify the most recent possible evidence. The quality of the studies was evaluated using the Joanna Briggs Institute (JBI) checklist; that the studies with a score above 7 were included in the analysis. Results: A total of 40 articles were identified after removing duplicates. After screening the full text of the articles, 5 studies met the inclusion criteria. In four of the studies, tele-ophthalmology was used for tele-screening and tele-monitoring using tele-imaging approaches, live video conferencing, and websites. Also, in one case, telemedicine reminder studies were used to improve treatment adherence. In the majority of studies, tele-ophthalmology was at least as effective as in-person visit services in screening, monitoring, and adherence to treatment. Conclusion: The results of our systematic review showed that a well-designed tele-ophthalmology program with high-quality cameras and equipment and the use of multiple technologies has the potential to replace or complement in-person visits to an ophthalmologist

Artificial Intelligence Literacy Among Healthcare Professionals and Students: A Systematic Review

Introduction: In the digital age, since the application of artificial intelligence (AI) is increasingly penetrating the world, the cultivation of AI literacy has become increasingly important for everyone. This systematic review investigated the level of AI literacy among healthcare professionals and students. Material and Methods: We searched the databases PubMed, Embase, Scopus, and Web of Science for relevant material. The evidence gathered from the studies included in this systematic review was reported in this study using preferred reporting items for systematic reviews and meta-analyses (PRISMA). Studies that assessed the level of AI literacy among medical and healthcare professionals and students met the inclusion criteria for this study. The quality of the included study for this review was assessed using the analytical cross-sectional critical assessment checklist developed by the Joanna Briggs Institute (JBI). The same standard checklist was used for data extraction. Results: Of the 10 included studies, 4 (40%) reported a low level of preparation, knowledge, and literacy. In a study, it was also shown that radiologists had acceptable literacy about AI, and it seems that they had a better study of this field compared to other specialists. Another study showed that initially the level of AI literacy was not acceptable but improved significantly after training. Two studies also hailed AI's contribution to improving healthcare. Conclusion: Evidence from this review indicated that half of the studies on the AI literacy of professionals and students were very low, and other included studies also reported the basic literacy of AI acceptably. Finally, in all included studies, AI training courses and their application in healthcare were considered necessary for professionals and students, and they were trying to improve the educational infrastructure

Rehabilitation information systems: What we know and what we want

Per the definition of the World Health Organization, rehabilitation is a set of interventions designed to optimize performance and reduce disability in people with a varying range of health-related disorders in interacting with their environment. Like many other fields of the health-care realm, the application and integration of valid and reliable research are perceivably highly primitive. It is not possible to accurately measure or predict the need for rehabilitation services in general, and it is certainly difficult to do so for specific demographic or geographic classes. Service providers lack the tools to make objective policy and financial decision-making at the systemic level without accurate and reliable information management practices. To gain the capacity to transform the current guidelines of the ministry and make financial changes in the entire rehabilitation process, the rehabilitation sector needs a strong voice and a solid political base to guide the rehabilitation process therefrom. The current narrative review focuses on our knowledge of rehabilitation information systems and what we know and what we want

A Comparative Study of Minimum Data Set of Speech Therapy: A Systematic Literature Review

Introduction: A minimum data set improves the potential of data standardization and overcoming the problem of low-quality speech therapy data by providing coherent, complete, and uniform data elements. Therefore, this study was conducted to compare speech therapy minimum data set among different countries. Material and Methods: A systematic review was conducted without time limits in PubMed, Scopus, Web of Science, Embase, SID, Magiran, Elmnet databases, and in the Google search engine to retrieve articles, speech therapy forms, and speech therapy registry sites. Keywords related to speech therapy minimum data set including minimum data set, registry, and speech therapy, were used. First, studies were reviewed based on titles and abstracts. Then, the selected studies from the previous stage were examined independently by two researchers. A similar standard checklist was used to extract and compare the findings. Results: A total of 1710 related records were extracted for review, and finally, six main articles and 11 forms were included in this review. The six original articles included two related to speech therapy minimum data set in the United States, two related to Iran, and one related to Australia and Germany. A comparative review of the most important data elements obtained from the articles and input forms in this review, including identity and admission information, referral information, history, assessment of verbal skills, assessment of non-verbal skills, assessment of organs of production, assessment of cognitive skills, assessment of other aspects of speech, and linguistic and cultural considerations, were information elements related to diagnoses, recommendations, and treatment plans. Conclusion: It could be concluded that an agreed classification system is needed to facilitate communication between speech therapists. This potentially enables further testing of diagnostic and therapeutic hypotheses with more coherent and simultaneous data collection. The challenge ahead is to create a comprehensive and universally agreed-upon classification system that meets the needs of professionals and researchers