نشریه مدیریت اطلاعات سلامت
سال بیستم شماره 2 (پیاپی 88، تابستان 1402)

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.

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.

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.

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.

As the worldwide population grows and the access to healthcare is increasingly being demanded, real-time monitoring of different biological signals has driven the study and development of diverse wearable technology. Monitoring of physical activity and behaviors by wearable devices may improve these health behaviors. This study endeavored to recognize the challenges of wearable technology in medicine and healthcare.

This applied study was conducted in two phases using qualitative approach in winter 2023. Initially, the challenges of wearable devices were recognized from previous studies. In the second step, the study experts evaluated conceptual model by Delphi method. The expert panel consists of 13 individuals active in information technology in healthcare according to targeted sampling.

According results the main challenges of wearable devices are technology acceptance (0.923), design/development (0.769), data quality/safety (0.769), privacy/confidentiality (0.923), socioeconomic impact (0.846), interoperability/connectivity (0.769), patient information/data overload (0.846), remote monitoring (0.846), and sanctions (0.769).

This study revealed that applications of the wearable technology in healthcare are becoming mature and established as a scientific domain. Practical adoption in wearable technology still demands design and validation of new pathways, strategic formulation, and a sound business model. Practitioners and researchers should consider how these technological advances may impact healthcare in the new era.

Emergency departments of hospitals play a very important role in the health system, and the effectiveness of these services can be effectively increased by using health information technologies. The purpose of this study was to prioritize the challenges of implementing electronic medical records in the emergency department of selected hospitals in Isfahan. This descriptive-cross-sectional study was conducted in 1401. The research population included doctors and nurses from Al-Zahra, Kashani and Amin hospitals of Isfahan University of Medical Sciences. The data was collected through a researcher-made questionnaire. The validity of this tool was confirmed based on the opinions of 10 experts, and the reliability of the questionnaire was obtained by calculating Cronbach's alpha of 0.85. Data analysis was done using SPSS statistical software software and presented via Mean and standard deviation. The findings showed that challenges in the organizational field, technical field, human field, and financial field had the first to fourth priority, respectively, among the organizational challenges, the increase in the workload of health service providers, the complexity of the processes of accepting and providing services to emergency patients and the lack of necessary infrastructure for electronic transmission of information to interested organizations has been assigned the highest priority. The effective implementation of electronic medical records in the emergency department of the studied hospitals requires the development of effective processes for accepting and providing medical services to emergency patients, providing the necessary organizational and technical infrastructure for proper access of health service providers and other users to electronic records. and providing funds for training users.

Mobile value-added services in health encompass all services beyond voice calls and their implementation carries many benefits. The aim of the present study is to rank the factors related to mobile value-added services in the health sector.

This research is of the applied and descriptive-cross-sectional type with the statistical population of all information technology experts in the Social Security Organization of Tehran province, including 84 people. The measurement tool, with 64 items in 18 components, and its reliability was obtained with Cronbach’s alpha of 0.916. The validity of the questionnaire was confirmed by 5 experts. For data analysis, confirmatory factor analysis method and SmartPLS software were used. For ranking related factors, a pairwise comparison questionnaire was designed and made available to 15 specialized experts and their opinions were calculated and ranked using Expert choice software.

The indices and coefficients obtained from the model of implementing mobile value-added services in the health sector have sufficient validity. The themes of effects and outcomes with a weight of 0.558, user understanding with a weight of 0.165, reliability with a weight of 0.115, mentality and expectations with a weight of 0.071, effective environmental conditions with a weight of 0.054, technology development with a weight of 0.037 have the most impact on the implementation of mobile value-added services in the health sector.

Organizations providing health services can implement by considering effective factors such as effects and consequences for using these services and other factors based on priority, in order to improve the acceptance rate, in order to improve processes and increase satisfaction

Introduction:

Accurate documentation of medical records is one of the important issues during the process of diagnosis and treatment of the disease. It is very important in terms of treatment, legal, educational, financial and research. This study aimed to determine awareness of medical students about principles of medical records documentation.

This descriptive-analytical and cross-sectional study was conducted in 2022-2023 at Zahedan university of medical sciences. The research population included medical students in the preclinical, clinical, and residency levels. The sample size was 260 medical students and the sampling method was quota sampling. The data collection tool was a researcher-made questionnaire. The validity and reliability of questionnaire were confirmed. Descriptive statistics (frequency, percentage, mean, and standard deviation) and analytical tests (T-test and One-way ANOVA) were used to analysis the research data.

The average awareness score obtained by the research community was 64.92±14.02 out of 74. The highest and lowest average scores were respectively related to the principles about the time frame of completing the information and the general principles of documenting the medical record. The test of the relationship between the variables of the research showed that only the relationship between the two variables of awareness level and educational level of students was significant.

In this study, the level of students' awareness about the principles of documenting medical records was optimal. But by comparing the different results of this research with previous similar studies, it can be said that teaching the principles of documentation over time has had a positive effect on improving the level of students' awareness.

This study endeavors to identify discourses and analyze the situation of human resources management information systems of the Isfahan University of Medical Sciences. This qualitative study was conducted using Fairclough's Critical Discourse Analysis method and semi-structured interviews with 42 experts and managers working in the field of human resources management and university information technology management and participatory observation to identify meaningful concepts, critical and different discourses. Then, it has been analyzed using Clark's situation analysis method by drawing ordered situational map and positional maps. Based on the results of the study, different discourse structures play a role in human resource management information systems, which indicates that the designed model of human resource management systems is based on the type of thinking and managers’ view towards human resources and factors. The environment has been designed and implemented. In practice, human resource management information systems are influenced by the power of official and unofficial actors and agents, government laws and regulations, approvals of the board of trustees, as well as environmental and cultural factors. This research can pave the way for other researchers to consider a critical approach to human resource information systems and helps guide more research with this approach.

The purpose of the present study is to identify the compensation strategies for dealing with the covid-19 pandemic among the medical staff.

The research method is exploratory in terms of mixed type and has been done in two parts, qualitative and quantitative. In the qualitative part, through thematic analysis method and using semi-structured interviews with 19 experts who were selected through purposive sampling, policies affecting the management structure of medical centers were identified and categorized. The data of this section were categorized and analyzed using the open, central and selective three-stage coding method. In order to comment on each of the obtained dimensions and rank them, at this stage, the obtained data were tested using the analysis hierarchy process (AHP) using the geometric mean method.

During this research, 179 sub-themes were categorized in the form of 43 main themes and 8 categories based on the results of calculating the final weight of the special vector, the categories of welfare services with a coefficient of 0.172, human resources policies with a coefficient of 0.152 and motivational solutions with a coefficient of 0.148 They ranked first to third respectively, followed by behavioral measures with a coefficient of 0.120, management solutions with a coefficient of 0.108, organizational solutions with a coefficient of 0.107, open communication with a coefficient of 0.103 and social support of the organization with a coefficient of 0.091 respectively. were ranked

The results of the hierarchical analysis test and calculating the geometric mean of indicators show that the main themes of democratic management styles, increasing the level of motivation of the treatment staff, implementing fun programs for members and their families, increasing financial support, in Prioritizing the physical health of the treatment staff, increasing the welfare services for the treatment staff, implementing support pol

Identifying the components affecting people's health literacy is one of the important areas in the field of medical sciences. In this study, the construction and validation of a health literacy questionnaire has been done.

The current research is descriptive. The statistical sample of the research is 327 graduate students of Azarbaijan Shahid Madani University who were selected by simple random method. To identify the items of the questionnaire, databases and related sources were checked first. The result of the investigation was the preparation of the initial version of the health literacy questionnaire with 28 items. Exploratory factor analysis was used to extract dimensions and items, and Cronbach's alpha was used to check the reliability. Data statistical processing was done using SPSS and Monte Carlo software. Cronbach's alpha of the questionnaire was equal to 0.89.

Before the factor analysis, the correlation coefficients of the scores between the questionnaire questions were checked. According to the results of Kaiser-Meyer-Olkin test and Bartlett's Test of Sphericity, exploratory factor analysis on the questionnaire was deemed justified. The findings of factor analysis showed that by removing two items from the whole questionnaire and analyzing the rest and rotating the results with the Varimax method, four dimensions of "access to health information"; "understanding health information"; "evaluation of health information"; and "use of health information" is obtained.

According to the findings, the proposed health literacy questionnaire has the necessary validity to assess the health literacy of adults.