Health Information management
Hoda Memarzadeh; Nasser Ghadiri; Maryam Lotfi shahreza
Abstract
Introduction: Identifying similar patients is effective in designing many secondary applications to improve the quality of treatments and research services. The similarity of the final diagnoses is one of the aspects of similar patient groups. In order to measure similarity between patients, it is crucial ...
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Introduction: Identifying similar patients is effective in designing many secondary applications to improve the quality of treatments and research services. The similarity of the final diagnoses is one of the aspects of similar patient groups. In order to measure similarity between patients, it is crucial to convert their information into a comparable format. There are different types of data in electronic health records (EHR). An important part of patient EHR are clinical notes, which face challenges to process. Therefore, the present study aims to design a clinical language processing model to identify definitive diagnoses. Research method: In this study, the clinical notes of more than 26,000 patients from the MIMIC-III database were represented as vectors using modern language models, and these vectors were used as input for the diagnostic prediction model.Results: According to the results of the experiments, the BIO-BERT model with 0.715 and then the SciBERT model with 0.713 the best result between the biomedical language models. The results also show that using unique concepts extracted from clinical notes resulted in an increase in model accuracy. Conclusion: Representation models trained with specific biomedical data can be used to map latent clinical note information to embedding vectors and provide the ability to use notes in machine learning algorithms, including prediction of the final diagnostic group.
Fatemeh Makkizadeh; Mohammad Amin Erfanmanesh; Farzaneh Sarrami
Abstract
Introduction: Altmetrics (Alternative Indicators) are indicators which can be exploited alongside traditional scientometric concepts based on the citation analysis to examine the impact of scientific products on the Web 2.0 environment. The purpose of this study is to investigate the prevalence ...
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Introduction: Altmetrics (Alternative Indicators) are indicators which can be exploited alongside traditional scientometric concepts based on the citation analysis to examine the impact of scientific products on the Web 2.0 environment. The purpose of this study is to investigate the prevalence of international articles in the field of medical informatics and health information management (HIM) in social media and to determine the level of use of researchers from these media, in addition to identifying top articles based on Altmetrics scores.Methods: The present study was conducted with a scientometric approach using Altmetric indicators. The research population consisted of 64 journals in the field of HIM and medical informatics indexed at the SCImago Journal Rank (SJR) and Scopus databases. All the necessary information about the journals and articles, such as the name of the journal, the name of the article, the altimetric score, etc. was obtained by referring to the Altmetric.com website. Spearman correlation test was used to analyze the data.Results: Mendeley, Twitter, and Facebook were among the social media that received the most mentions. The findings indicated that there was a significant relationship between altmetrics coverage (presence in social web environment) and three quality performance indices (SJR, snipe, and site score). The correlation coefficients obtained for these three indices were 0.401, 0.248, and 0.285, respectively.Conclusion: Social media can have a positive effect on the citation rate of scientific articles. Therefore, researchers in the field of medical informatics and HIM can increase the number of citations by sharing their works on social media. Due to the lack of strong correlation in this study, altmetrics can be used to complement scientometrics indices, but not as an alternative to evaluating scientific research.
Marzieh Goltaji; Abdolrasoul Jowkar
Volume 14, Issue 2 , July 2017, , Pages 71-77
Abstract
Introduction: Due to the capabilities of alternative metrics and their speed in evaluating scientific outputs, and the importance of social media in establishment of scholarly communication and findings’ dissemination, the aim of this study was to investigate the use of social media by medical informatics ...
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Introduction: Due to the capabilities of alternative metrics and their speed in evaluating scientific outputs, and the importance of social media in establishment of scholarly communication and findings’ dissemination, the aim of this study was to investigate the use of social media by medical informatics researchers, and identify top articles based on altmetric score and the association between altmetrics and citation indicators.Methods: The current descriptive research was conducted through scientometrics method and using altmetrics data. The study population consisted of medical informatics articles which were published in 2014 in four core journals, had digital object identifier (DOI), and were indexed in Web of Science. To collect alternative indicators, each individual article was matched by altmetric.com manually. Spearman correlation was used for analyzing data.Results: Mendeley, Twitter, Facebook, CiteULike, Blog, News Outlet, and Google Plus were the most used social media by medical informatics scholars for sharing scientific outputs. The results revealed statistically significant relations between most alternative metrics and the number of citations in Web of Science.Conclusion: Social media can have a positive impact on the citation rate of articles. Therefore, medical informatics researchers can make use of social media in order to better search information on the internet and increase the citation to their scientific productions. For this purpose, they share their work in various social media.
Alireza Kazemi; Reza Rabiei; Hamid Moghaddasi; Ghasem Deimazar
Abstract
Introduction: The pharmacy information system (PIS) is a subsystem of the hospital information system (HIS). In this study, the PIS implemented in hospitals affiliated with three medical universities in Tehran (Iran) were evaluated. Methods: This applied study was conducted using descriptive method in ...
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Introduction: The pharmacy information system (PIS) is a subsystem of the hospital information system (HIS). In this study, the PIS implemented in hospitals affiliated with three medical universities in Tehran (Iran) were evaluated. Methods: This applied study was conducted using descriptive method in 2015. The study sample included five PISs in hospitals affiliated with three medical universities in Tehran which were selected and evaluated according to the system suppliers. The data were collected through observation and using a checklist (addressing both general and specific criteria). The content validity of the checklist was approved by 6 experts in the field. Data analysis was carried out using descriptive statistics. Results: With respect to the general features of the systems, only two systems were capable of restricting repeated attempts made for unauthorized access to the system. The evaluation of the specific criteria of the systems showed that no attention was paid to patient safety aspects. Furthermore, it was revealed that there was no connection between these systems and information systems of pharmaceutical companies. Conclusion: Financial aspects were the main consideration when designing and producing PISs and little attention was paid to therapeutic criteria such as patient safety. Efficient and effective use of PISs requires the consideration of both general and specific aspects in the development of such systems.
Leila Ahmadian; Sadrieh Hajesmaeel-Gohari; Reza Khajouei
Volume 13, Issue 2 , April 2016, , Pages 71-77
Abstract
Introduction: Numerous studies have evaluated health information systems in Iran, but most studies have not followed a standard format for reporting their findings. The objective of this study was to evaluate the compliance of health information systems’ evaluations published in Persian ...
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Introduction: Numerous studies have evaluated health information systems in Iran, but most studies have not followed a standard format for reporting their findings. The objective of this study was to evaluate the compliance of health information systems’ evaluations published in Persian journals with the Statement on Reporting of Evaluation Studies in Health Informatics (STARE-HI). Methods: This was a review study in which papers reporting on evaluation of health information systems were assessed in terms of 51 principles of the STARE-HI using a checklist. These papers were retrieved from the Persian databases of Magiran, IranMedex, and SID using appropriate keywords. Data were classified and reported based on 13 main sections of the STARE-HI. Results: From the 727 retrieved papers, 36 were relevant to the study objectives. All paper had an introduction section, but none of the paper had the authors’ contribution and conflict of interests sections. The mean compliance of articles with the STARE-HI was 71.4%, with the lowest being 52.94% and the highest being 82.35%. Conclusion: The writing style and structure of studies evaluating health information systems require improvements. The quality of study reports can be improved through reporting essential information in articles and using corresponding guidelines in the design of authors’ instruction sections of journals. Improving the reporting format of papers can result in better and higher rate of application of study results and increased citation of articles.
Izet Masic; Rusmir Baljic; Jasmin Alajbegovic; Sebija Izetbegovic
Volume 10, Issue 4 , November 2013, , Pages 528-537
Abstract
Introduction: With all the progress that is happening today in the field of medicine, the biggest benefit is the possibility of using modern information technology. Medicine today is characterized by widespread use of new information and communication technologies (ICT) - mobile phones, teletext, fax ...
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Introduction: With all the progress that is happening today in the field of medicine, the biggest benefit is the possibility of using modern information technology. Medicine today is characterized by widespread use of new information and communication technologies (ICT) - mobile phones, teletext, fax and electronic mail (e-mail). Global computer network allows access to a number of databases with bibliographic, epidemiological, image and other information, which increasingly emphasizes the importance of the application of the Internet in medicine. Systems to assess health status, to diagnose diseases and systems to support clinical practice have become available over the Internet. Methods: The survey was conducted among the students of the sixth year of the Medical Faculty of the University of Sarajevo, generation of 2009/10 and 2012/13, through specifically created questionnaire. The questionnaire was entirely anonymous. The questionnaire consists of five classes of data that are consisted of created relevant variables from the first author of this article. For evaluation of opinions modified Likert scale of measurement was used. Results: Student feedback on what should be added to the teaching in the field of Medical Informatics is such that students in 2008/09 twice as much thought that there should be more practical work on PC, more education via the Internet and distance learning is present in 2012. Students from both surveys agree that they should improve their knowledge about the databases, but in 2009 there was even twice more students than there is today which considered that they need to improve their knowledge about MS Office and Internet. As the future of information technology students listed in both surveys using the Internet, followed by the databases and multimedia applications. Conclusion: Easier access to useful biomedical information is provided in almost every part of the planet Earth, as to users of health care (patients), as well to physicians and other health care personnel in health institutions. They all have the power to quickly and easily collect and share information from their local and wider environment. Keywords: Medical Informatics; Information Technology; Knowledge, Attitudes, Practices; Schools, Medical; Students
Manijeh Ariaei; Afshin Sarafi Nejad; Jamileh Kouti; Zahra Mehdipour; Kambiz Bahaadinbeigy
Volume 9, Issue 5 , November and December 2012, , Pages 711-723
Abstract
Introduction: Computerized clinical decision support systems (CDSS) can be effective inreducing certain types of medical errors. This study aimed to assess the viewpoints of physiciansand nurses about practical use of these systems to prevent or decrease the incidence of errors.Methods: In a two-month ...
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Introduction: Computerized clinical decision support systems (CDSS) can be effective inreducing certain types of medical errors. This study aimed to assess the viewpoints of physiciansand nurses about practical use of these systems to prevent or decrease the incidence of errors.Methods: In a two-month cross-sectional study using two valid and consistent researcher-madequestionnaires, the viewpoints of one hundred physicians and nurses from university hospitals ofKerman University of Medical Sciences were collected concerning some of the important errorsin treatment process and nursing care that are preventable by alert or reminder systems.Results: All of the study subjects i.e. 65 females and 35 males from physicians and nurses filledout the questionnaires. Among them, 86% of the physicians and 90% of the nurses believed in thepossibility of medical errors and 88% of the participants agreed that using efficient computerizedsystems reduces medical errors. According to most of the responses, computer systems havepositive effects on reducing bed sore and emboli occurrences, eliminating physicians’ illegiblehand-writing and improvement of quality health care services due to accessing to the up-to-dateinformation. Moreover, nearly all the participants believed that computer systems have positiveeffects on reducing drug allergies and interactions as well as improvement of prescription qualitythrough availability of patient’s medical history. The top priorities for physicians were access toup-to-date information and alert about severe drug allergies and interactions, respectively; whilefor nurses, the top priorities were preventing bed sore and emboli and important issues in hightrafficwards.Conclusion: Staff of hospitals of Kerman University of Medical Sciences believed thatcomputerized CDSS, either through reminders or alert systems, are effective to reduce errors inpatient care. These findings might be influencing for development and use of these systems
