Ehsan Ghassemi Barghi, N. Mohammadzadeh, Afsaneh Enteshari Moghaddam
Introduction: Rheumatoid arthritis is a systemic, chronic autoimmune disease that affects the joints, and limited mobility. The disease is progressive and can significantly impact a patient's quality of life. Today, mobile applications have the potential to address specific health needs and provide therapeutic interventions. The initial stage of constructing and advancing a healthcare information system involves the utilization of a minimum data set, which comprises essential and standardized data components aimed at capturing and overseeing patient care. This study aims to identify key components for a mobile-based self-care application for patients with rheumatoid arthritis.Material and Methods: In this descriptive analytical study, two steps were undertaken. Firstly, a review of related articles and existing apps was conducted. Secondly, a researcher-developed questionnaire with a high reliability coefficient (Cronbach's alpha=0.97) was used to validate the identified information elements. Elements that scored at least an average of 3.2 (60%) on a 5 point Likert scale were deemed necessary data components for the design of an android-based mobile app catering to the self-care needs of rheumatoid arthritis patients.Results: Based on the analysis findings, experts identified crucial technical requirements for a mobile-based self-management system. The system should include features for documenting drug side effects and providing educational content and physical exercise videos. Additionally, these requirements encompass reminders for medication, doctor appointments, and physical activities. Priorities also include clinical information, lifestyle management, and patient demographics.Conclusion: Overall, the implementation of such a system has the potential to enhance patients' self-management skills, promote active involvement in self-care, and facilitate communication with healthcare providers.
{"title":"Self-Care Application for Rheumatoid Arthritis: Identifying Key Data Elements","authors":"Ehsan Ghassemi Barghi, N. Mohammadzadeh, Afsaneh Enteshari Moghaddam","doi":"10.30699/fhi.v12i0.504","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.504","url":null,"abstract":"Introduction: Rheumatoid arthritis is a systemic, chronic autoimmune disease that affects the joints, and limited mobility. The disease is progressive and can significantly impact a patient's quality of life. Today, mobile applications have the potential to address specific health needs and provide therapeutic interventions. The initial stage of constructing and advancing a healthcare information system involves the utilization of a minimum data set, which comprises essential and standardized data components aimed at capturing and overseeing patient care. This study aims to identify key components for a mobile-based self-care application for patients with rheumatoid arthritis.Material and Methods: In this descriptive analytical study, two steps were undertaken. Firstly, a review of related articles and existing apps was conducted. Secondly, a researcher-developed questionnaire with a high reliability coefficient (Cronbach's alpha=0.97) was used to validate the identified information elements. Elements that scored at least an average of 3.2 (60%) on a 5 point Likert scale were deemed necessary data components for the design of an android-based mobile app catering to the self-care needs of rheumatoid arthritis patients.Results: Based on the analysis findings, experts identified crucial technical requirements for a mobile-based self-management system. The system should include features for documenting drug side effects and providing educational content and physical exercise videos. Additionally, these requirements encompass reminders for medication, doctor appointments, and physical activities. Priorities also include clinical information, lifestyle management, and patient demographics.Conclusion: Overall, the implementation of such a system has the potential to enhance patients' self-management skills, promote active involvement in self-care, and facilitate communication with healthcare providers.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"161 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139246655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edward Agyemang, Addae Boateng Adu-Gyamfi, K. Esia-Donkoh, E. Achampong
Introduction: In the pursuit of improving effective health service delivery, developing nations including Ghana are progressively integrating electronic health record systems into healthcare frameworks. This research explored the proficient utilization of an EHR called the Lightwave Health Information Management System used by healthcare professionals in Ghana.Material and Methods: A descriptive cross-sectional study design and a multi-stage sampling technique (stratified and simple random sampling) were used to recruit 1126 respondents for this study. Weighted averages were computed to determine scores for all the indicators measuring the effectiveness construct.Results: The study found that LHIMS improved productivity, patient data gathering, sharing of patient information among service providers, care continuity, data exchange among facilities, decision-making, and coordination/organization of care. Also, health professionals’ work experience, educational qualification, and training status were statistically significant predictors of effective use of the LHIMS at the multivariate level. Age and professional type were statistically significant only at the bivariate level.Conclusion: The study concludes that incorporating the LHIMS improves healthcare professionals' effectiveness in gathering patient information while reducing the likelihood of errors by promptly notifying them of any inaccuracies. The study emphasized the importance of training for effectively using the LHIMS.
{"title":"Effective use of electronic health records system for healthcare delivery in Ghana","authors":"Edward Agyemang, Addae Boateng Adu-Gyamfi, K. Esia-Donkoh, E. Achampong","doi":"10.30699/fhi.v12i0.510","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.510","url":null,"abstract":"Introduction: In the pursuit of improving effective health service delivery, developing nations including Ghana are progressively integrating electronic health record systems into healthcare frameworks. This research explored the proficient utilization of an EHR called the Lightwave Health Information Management System used by healthcare professionals in Ghana.Material and Methods: A descriptive cross-sectional study design and a multi-stage sampling technique (stratified and simple random sampling) were used to recruit 1126 respondents for this study. Weighted averages were computed to determine scores for all the indicators measuring the effectiveness construct.Results: The study found that LHIMS improved productivity, patient data gathering, sharing of patient information among service providers, care continuity, data exchange among facilities, decision-making, and coordination/organization of care. Also, health professionals’ work experience, educational qualification, and training status were statistically significant predictors of effective use of the LHIMS at the multivariate level. Age and professional type were statistically significant only at the bivariate level.Conclusion: The study concludes that incorporating the LHIMS improves healthcare professionals' effectiveness in gathering patient information while reducing the likelihood of errors by promptly notifying them of any inaccuracies. The study emphasized the importance of training for effectively using the LHIMS.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"32 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139272317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeynab Salehnasab, A. Mousavizadeh, Ghasem Ghalamfarsa, A. Garavand, C. Salehnasab
Introduction: The global COVID-19 pandemic has led to a health crisis, emphasizing the need to identify high-risk patients for effective resource allocation and prioritized hospitalization. Previous studies have been limited in their use of algorithms and variables, while this research expands to include lifestyle factors and optimizes hyperparameters for twenty machine learning algorithms, enhancing prediction accuracy and identifying key predictors.Material and Methods: In this cross-sectional study, we analyzed data from 207 COVID-19 patients. The Boruta algorithm was used to select the best features for twenty classification algorithms, and RandomizedSearchCV was utilized to optimize hyperparameters. The models were evaluated using performance metrics such as accuracy, f-measure, and area under the curve (AUC).Results: The study identified eight key predictors of COVID-19 hospitalization, which include gamma-glutamyl transpeptidase, alkaline phosphatase, diagnosis by CT scan, mean platelet volume, mean corpuscular volume, fasting blood sugar, red blood cell count, and mean corpuscular hemoglobin concentration. By optimizing the hyperparameters of twenty machine learning algorithms, the accuracy and AUC were improved. With an outstanding AUC of 81.25, the XGBClassifier model exhibited superior performance.Conclusion: The findings of this study can assist clinicians in allocating resources effectively and improving patient care. Additionally, this approach can aid healthcare researchers in leveraging artificial intelligence to manage diseases.
{"title":"Predictive Modeling of COVID-19 Hospitalization Using Twenty Machine Learning Classification Algorithms on Cohort Data","authors":"Zeynab Salehnasab, A. Mousavizadeh, Ghasem Ghalamfarsa, A. Garavand, C. Salehnasab","doi":"10.30699/fhi.v12i0.473","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.473","url":null,"abstract":"Introduction: The global COVID-19 pandemic has led to a health crisis, emphasizing the need to identify high-risk patients for effective resource allocation and prioritized hospitalization. Previous studies have been limited in their use of algorithms and variables, while this research expands to include lifestyle factors and optimizes hyperparameters for twenty machine learning algorithms, enhancing prediction accuracy and identifying key predictors.Material and Methods: In this cross-sectional study, we analyzed data from 207 COVID-19 patients. The Boruta algorithm was used to select the best features for twenty classification algorithms, and RandomizedSearchCV was utilized to optimize hyperparameters. The models were evaluated using performance metrics such as accuracy, f-measure, and area under the curve (AUC).Results: The study identified eight key predictors of COVID-19 hospitalization, which include gamma-glutamyl transpeptidase, alkaline phosphatase, diagnosis by CT scan, mean platelet volume, mean corpuscular volume, fasting blood sugar, red blood cell count, and mean corpuscular hemoglobin concentration. By optimizing the hyperparameters of twenty machine learning algorithms, the accuracy and AUC were improved. With an outstanding AUC of 81.25, the XGBClassifier model exhibited superior performance.Conclusion: The findings of this study can assist clinicians in allocating resources effectively and improving patient care. Additionally, this approach can aid healthcare researchers in leveraging artificial intelligence to manage diseases.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125478538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Kharazmi, Ali Majidpour Azad Shirazi, A. Yazdani
Introduction: Strategic dashboards, including hospital economic monitoring systems, play a major role in analyzing data and making decisions. As the health system is a multidimensional ecosystem, decision-makers and healthcare officials must gather and integrate information from numerous health information systems to monitor and direct healthcare centers. This study aims to develop and usability evaluation of a health information technology dashboard in Iran that utilizes qualitative and economic indicators.Material and Methods: This study was conducted in four phases. It included extracting the requirements of the system through the focus group technique. Based on these results, a comprehensive economic dashboard was developed. Then, the system’s usability is evaluated from the perspectives of experts and end-users by two scales of Nielsen and USE, respectively.Results: The dashboard was developed on the web and different access levels were defined for users according to their roles. This dashboard provides the ability to integrate information from different systems at the national level for decision-makers. The results of usability evaluation from users' point of view showed that it has a good level of usability. Furthermore, evaluation results revealed that aesthetic aspects and simple design and clarity of system status (0%), privacy (1.49%), "visibility and clarity of the system" and "adaptation between the system and the real world" (2.98%), have the fewest design errors. With 14 problems (20.89%), "recognition rather than remembering" and "compliance with uniformity and standards" have the highest frequency of problems.Conclusion: The development of an extensive integrated economic health dashboard, based on usability principles that are suitable for its stakeholders regardless of their specialty and granted access level, is welcomed by the health economist, hospital managers, and the ones who have an active role in monitoring and coordinating hospitals or even in greater scales such as national wide decision makers.
{"title":"Development and Usability Evaluation of a Web-Based Health Information Technology Dashboard of Quality and Economic Indicators","authors":"E. Kharazmi, Ali Majidpour Azad Shirazi, A. Yazdani","doi":"10.30699/fhi.v12i0.466","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.466","url":null,"abstract":"Introduction: Strategic dashboards, including hospital economic monitoring systems, play a major role in analyzing data and making decisions. As the health system is a multidimensional ecosystem, decision-makers and healthcare officials must gather and integrate information from numerous health information systems to monitor and direct healthcare centers. This study aims to develop and usability evaluation of a health information technology dashboard in Iran that utilizes qualitative and economic indicators.Material and Methods: This study was conducted in four phases. It included extracting the requirements of the system through the focus group technique. Based on these results, a comprehensive economic dashboard was developed. Then, the system’s usability is evaluated from the perspectives of experts and end-users by two scales of Nielsen and USE, respectively.Results: The dashboard was developed on the web and different access levels were defined for users according to their roles. This dashboard provides the ability to integrate information from different systems at the national level for decision-makers. The results of usability evaluation from users' point of view showed that it has a good level of usability. Furthermore, evaluation results revealed that aesthetic aspects and simple design and clarity of system status (0%), privacy (1.49%), \"visibility and clarity of the system\" and \"adaptation between the system and the real world\" (2.98%), have the fewest design errors. With 14 problems (20.89%), \"recognition rather than remembering\" and \"compliance with uniformity and standards\" have the highest frequency of problems.Conclusion: The development of an extensive integrated economic health dashboard, based on usability principles that are suitable for its stakeholders regardless of their specialty and granted access level, is welcomed by the health economist, hospital managers, and the ones who have an active role in monitoring and coordinating hospitals or even in greater scales such as national wide decision makers.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132509211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: The World Health Organization (WHO) has declared the novel coronavirus (COVID-2019) infection outbreak a global health emergency. Drug repurposing, which concerns the investigation of existing drugs for new therapeutic target indications, has emerged as a successful strategy for drug discovery due to the reduced costs and expedited approval procedures.Material and Methods: The crystal structure of a protein essential for virus replication has been filed in the Protein Data Bank recently. Based on this structure and existing experimental datasets for SARS-CoV2(COVID-19) we present results deriving from the virtual screening of a database of more than 1000 drugs in the DrugBank that have been approved by Food and Drug Administration (FDA).Results: Results showed that some of the known protease inhibitors currently used in HIV and Cancer infections might be helpful for the therapy of COVID-19 also. Results also showed that Levomefolic acid, or vitamin B9, is recommended therapy because of its oral sources and no side effects.Conclusion: Between all studied FDA-approved drug, VitaminB9 and Etoposide which used for HIV protease inhibitor, revealed strong interaction with protease binding pocket and placed well into the pocket even better than the lopinavir-ritonavir, and since this compound is FDA-approved and successfully passed various testing steps, therefor there is a hope that this drug, could be a potential drug to treating the COVID-19.
{"title":"Potentially Highly Effective Drugs for COVID-19: Virtual Screening and Molecular Docking Study Through PyRx-Vina Approach","authors":"Fatemeh Houshmand, Sara Houshmand","doi":"10.30699/fhi.v12i0.478","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.478","url":null,"abstract":"Introduction: The World Health Organization (WHO) has declared the novel coronavirus (COVID-2019) infection outbreak a global health emergency. Drug repurposing, which concerns the investigation of existing drugs for new therapeutic target indications, has emerged as a successful strategy for drug discovery due to the reduced costs and expedited approval procedures.Material and Methods: The crystal structure of a protein essential for virus replication has been filed in the Protein Data Bank recently. Based on this structure and existing experimental datasets for SARS-CoV2(COVID-19) we present results deriving from the virtual screening of a database of more than 1000 drugs in the DrugBank that have been approved by Food and Drug Administration (FDA).Results: Results showed that some of the known protease inhibitors currently used in HIV and Cancer infections might be helpful for the therapy of COVID-19 also. Results also showed that Levomefolic acid, or vitamin B9, is recommended therapy because of its oral sources and no side effects.Conclusion: Between all studied FDA-approved drug, VitaminB9 and Etoposide which used for HIV protease inhibitor, revealed strong interaction with protease binding pocket and placed well into the pocket even better than the lopinavir-ritonavir, and since this compound is FDA-approved and successfully passed various testing steps, therefor there is a hope that this drug, could be a potential drug to treating the COVID-19.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134025849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fatemeh Bahador, Fatemeh Salehi, Erfan Esmaeeli, A. Akbari, A. Sabahi
Introduction: As university systems are dealing with a wide range of users, including students, managers, and university employees, these systems can likely satisfy the needs and activities of various users with maximum quality in the shortest possible time. Consequently, it is very essential to observe usability features in the design of such systems. The current study aimed to evaluate the usability of the Hamava system to recognize and resolve its problems and weaknesses.Material and Methods: The present study is a cross-sectional descriptive study that was done in the second half of 2022 on the Hamava system of students of Birjand University of Medical Sciences. Nielsen's Heuristics (ten principles) were used to check the compliance of this system with the usability principles. Descriptive statistics were used to analyze the overall severity of the identified usability factors collected using the checklist.Results: In the present evaluation, 176 problems were recognized, with the highest number of problems related to the violation of the two principles of aesthetic and minimalist design (n=58), user control and freedom (n=31), and the least problem related to the recognition rather than recall principle (n=4).Conclusion: The results of the current study revealed that though a large number of users of the Hamava system are students and it is expected that this system will be designed based on the latest standards and the needs of its users, this system also faces usability problems that if not resolved, it can cause an increase in errors, dissatisfaction of users, decrease in the quality of information, waste of users' time, and lack of effective user interaction with the educational system.
{"title":"Evaluation the Usability of Hamava System Using Heuristic Evaluation","authors":"Fatemeh Bahador, Fatemeh Salehi, Erfan Esmaeeli, A. Akbari, A. Sabahi","doi":"10.30699/fhi.v12i0.462","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.462","url":null,"abstract":"Introduction: As university systems are dealing with a wide range of users, including students, managers, and university employees, these systems can likely satisfy the needs and activities of various users with maximum quality in the shortest possible time. Consequently, it is very essential to observe usability features in the design of such systems. The current study aimed to evaluate the usability of the Hamava system to recognize and resolve its problems and weaknesses.Material and Methods: The present study is a cross-sectional descriptive study that was done in the second half of 2022 on the Hamava system of students of Birjand University of Medical Sciences. Nielsen's Heuristics (ten principles) were used to check the compliance of this system with the usability principles. Descriptive statistics were used to analyze the overall severity of the identified usability factors collected using the checklist.Results: In the present evaluation, 176 problems were recognized, with the highest number of problems related to the violation of the two principles of aesthetic and minimalist design (n=58), user control and freedom (n=31), and the least problem related to the recognition rather than recall principle (n=4).Conclusion: The results of the current study revealed that though a large number of users of the Hamava system are students and it is expected that this system will be designed based on the latest standards and the needs of its users, this system also faces usability problems that if not resolved, it can cause an increase in errors, dissatisfaction of users, decrease in the quality of information, waste of users' time, and lack of effective user interaction with the educational system.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"130 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120932970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The global crisis engendered by the COVID-19 pandemic brought about profound changes in various aspects of daily life, one of which pertains to how group therapies and support meetings are conducted. Of particular interest in this paper is the Alcoholics Anonymous (AA) program, a globally recognized initiative known for its efficacy in helping individuals cope with alcoholism through mutual, peer support in group meetings. The advent of the pandemic, however, challenged this very structure of the program, enforcing a radical transition from in-person meetings to virtual environments, which has posed several hurdles for both organizers and participants. Notably, these changes triggered by restrictive mobility measures have called for innovative adaptations to continue to provide the support needed for recovery and to reduce relapses fuelled by pandemic-induced loneliness and isolation.
{"title":"The Strength of Connection: The Virtual Adaptation of Twelve-Step Programs’ Meetings","authors":"Rebeca Tenajas, D. Miraut","doi":"10.30699/fhi.v12i0.471","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.471","url":null,"abstract":"The global crisis engendered by the COVID-19 pandemic brought about profound changes in various aspects of daily life, one of which pertains to how group therapies and support meetings are conducted. Of particular interest in this paper is the Alcoholics Anonymous (AA) program, a globally recognized initiative known for its efficacy in helping individuals cope with alcoholism through mutual, peer support in group meetings. The advent of the pandemic, however, challenged this very structure of the program, enforcing a radical transition from in-person meetings to virtual environments, which has posed several hurdles for both organizers and participants. Notably, these changes triggered by restrictive mobility measures have called for innovative adaptations to continue to provide the support needed for recovery and to reduce relapses fuelled by pandemic-induced loneliness and isolation.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121291638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saeideh Valizadeh-Haghi, S. Rahmatizadeh, S. Adibi, Amirreza Kalantari
Introduction: The growing use of online information influences people's healthcare decision making in terms of treatment or consulting a doctor. The readability of a website is a factor that influences the correct understanding of its content. Regarding that there is little information about the readability as well as the credibility of health websites in the field of kidney transplantation, the present study assesses the readability and trustworthiness of websites in this topic.Material and Methods: Google, Yahoo, and Bing search engines were used to search for "Kidney Transplantation" and "Renal Transplantation.". Four readability scales were applied to assess the readability of the first 30 results of each search engine. The HONcode toolbar was applied to recognize credible websites. The relationship between HONcode verification and website position on the search results pages was explored. Furthermore, the difference between the readability scores and website position on the search results pages was tested. The readability difference between search result pages was also examined.Results: According to the results, the assessed websites are suitable for students or high school graduates. Furthermore, the association between the average readability of websites and website position on the search results pages was significant (p-value<0.05). A significant association between HONcode-verified sites and website position on the search results pages was also revealed (p-value=0.011).Conclusion: The readability of kidney transplantation websites is far above the recommended level. Therefore, health organizations must consider readability while designing their websites.
{"title":"The Readability Analysis of Online Education Materials for Kidney Transplantation","authors":"Saeideh Valizadeh-Haghi, S. Rahmatizadeh, S. Adibi, Amirreza Kalantari","doi":"10.30699/fhi.v12i0.446","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.446","url":null,"abstract":"Introduction: The growing use of online information influences people's healthcare decision making in terms of treatment or consulting a doctor. The readability of a website is a factor that influences the correct understanding of its content. Regarding that there is little information about the readability as well as the credibility of health websites in the field of kidney transplantation, the present study assesses the readability and trustworthiness of websites in this topic.Material and Methods: Google, Yahoo, and Bing search engines were used to search for \"Kidney Transplantation\" and \"Renal Transplantation.\". Four readability scales were applied to assess the readability of the first 30 results of each search engine. The HONcode toolbar was applied to recognize credible websites. The relationship between HONcode verification and website position on the search results pages was explored. Furthermore, the difference between the readability scores and website position on the search results pages was tested. The readability difference between search result pages was also examined.Results: According to the results, the assessed websites are suitable for students or high school graduates. Furthermore, the association between the average readability of websites and website position on the search results pages was significant (p-value<0.05). A significant association between HONcode-verified sites and website position on the search results pages was also revealed (p-value=0.011).Conclusion: The readability of kidney transplantation websites is far above the recommended level. Therefore, health organizations must consider readability while designing their websites.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123987409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Raheleh Mahboub Farimani, S. Amini, K. Bahaadinbeigy, M. Akbari, S. Eslami
Introduction: The cardiovascular intensive care unit (CVICU) registry provides physicians with tools for monitoring, managing, and following up on patients. The CVICU registry provides researchers with the ability to analyze and evaluate integrated data patients. Our goal with this study is to explain the design, development, and deployment of a comprehensive, integrated, qualified cardiovascular intensive care unit registry, as well as to characterize individuals admitted to CVICUs.Material and Methods: From June 2012, a cohort study of ICU admissions for adults (≥18 years) in a teaching hospital’s CVICU began. The study includes retrospective collection of existing data from paper records and hospital information systems (HIS) and ongoing prospective collection using the proposed CVICU registry portal.Results: Between June 2013 and June 2022, 2587 admissions were included, among which 1041 (40.2%) were women, 1546 (59.8%) were man, and the median age was 58 ranging from 18 to 93 years and their mean (SD) age was 56.8 (13) years. About 11.1% of the patients died in the CVICU. The primary indications for CVICU care included mechanical ventilation (29.7%), weaning time (??%), readmission (4.9%), cardiovascular (17.4%), myocardial infarction (1.7%), diabetes (9.3%), hypertension (14.3%). Of these, about 73% had coronary artery bypass grafting (CABG), 15% valve surgery and the remains has other cardiovascular surgeries. About 39% experienced an on-pump surgery. In addition, patients had 6.4 hours weaning time after operation. The overall CVICU length of stay (LOS) rate was 3.6 days and mean predicted by APACHE IV, APACHE II, SOFA, and SAPS II were 5.67, 3.03, 4, and 4 days, respectively.Conclusion: The use of registries equipped physicians and researchers with an integrated data pool to manage and evaluate information. Appropriate patient registries allow effective decision-making for appropriate interventions, resource allocation, and ongoing data monitoring and analysis. Ultimately, this leads to the optimal outcomes for patients. This registry aims to generate valuable knowledge about cardiovascular ICU patients in Iran and to collect accurate and qualified data.
{"title":"Design, Development, and Deployment of a Web-Based Registry for Cardiovascular Intensive Care Unit (CVICU)","authors":"Raheleh Mahboub Farimani, S. Amini, K. Bahaadinbeigy, M. Akbari, S. Eslami","doi":"10.30699/fhi.v12i0.470","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.470","url":null,"abstract":"Introduction: The cardiovascular intensive care unit (CVICU) registry provides physicians with tools for monitoring, managing, and following up on patients. The CVICU registry provides researchers with the ability to analyze and evaluate integrated data patients. Our goal with this study is to explain the design, development, and deployment of a comprehensive, integrated, qualified cardiovascular intensive care unit registry, as well as to characterize individuals admitted to CVICUs.Material and Methods: From June 2012, a cohort study of ICU admissions for adults (≥18 years) in a teaching hospital’s CVICU began. The study includes retrospective collection of existing data from paper records and hospital information systems (HIS) and ongoing prospective collection using the proposed CVICU registry portal.Results: Between June 2013 and June 2022, 2587 admissions were included, among which 1041 (40.2%) were women, 1546 (59.8%) were man, and the median age was 58 ranging from 18 to 93 years and their mean (SD) age was 56.8 (13) years. About 11.1% of the patients died in the CVICU. The primary indications for CVICU care included mechanical ventilation (29.7%), weaning time (??%), readmission (4.9%), cardiovascular (17.4%), myocardial infarction (1.7%), diabetes (9.3%), hypertension (14.3%). Of these, about 73% had coronary artery bypass grafting (CABG), 15% valve surgery and the remains has other cardiovascular surgeries. About 39% experienced an on-pump surgery. In addition, patients had 6.4 hours weaning time after operation. The overall CVICU length of stay (LOS) rate was 3.6 days and mean predicted by APACHE IV, APACHE II, SOFA, and SAPS II were 5.67, 3.03, 4, and 4 days, respectively.Conclusion: The use of registries equipped physicians and researchers with an integrated data pool to manage and evaluate information. Appropriate patient registries allow effective decision-making for appropriate interventions, resource allocation, and ongoing data monitoring and analysis. Ultimately, this leads to the optimal outcomes for patients. This registry aims to generate valuable knowledge about cardiovascular ICU patients in Iran and to collect accurate and qualified data.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129503181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Gholamhosseini, A. Behmanesh, Somayeh Nasiri, S. Ehsanzadeh, F sadoughi
Introduction: The Internet of Things (IoT) and Cloud computing are two recent technological advances whose potential have not been realized in a range of industries. These technologies have been used in healthcare systems to improve their performance. In this regard, the IoT generates a large amount of data; also, cloud computing is a viable option for data storage and complex computing. The purpose of this study is to identify and categorize various aspects of CIoT-based healthcare in terms of main application domains, sensors, wireless communication technologies, messaging protocols, cloud platforms, and artificial intelligence (AI) algorithms.Material and Methods: We conducted a literature systematic review and reported according to the PRISMA guideline. PubMed, IEEE, Scopus, and Web of Science were searched using the related keywords and their synonyms. Two independent authors reviewed the papers' eligibility according to the defined inclusion and exclusion criteria.Results: Of the 2,118 papers retrieved, 61 were eventually selected in the study. Results of the present study revealed that the majority of CIoT research works were applied to patient monitoring systems and cardiovascular patient monitoring systems using Amazon and IBM dominating Cloud platforms. In addition, the most widely used communication technologies for CIoT in healthcare are cellular networks (3G and 4G), Wi-Fi, and Bluetooth. Cardiovascular, environmental, and position sensors are also the most common types of sensors used in healthcare CIoT applications. Among the Cloud platform providers, Amazon and IBM have the highest utility in healthcare systems. The majority of the included studies used Cloud-based AI algorithms to diagnose, classify, and predict diseases.Conclusion: The integration of the Cloud into the IoT can support healthcare systems in terms of processing power, storage capacity, security, privacy, performance, reliability, and scalability. We suggest researchers conduct experimental studies to evaluate the effectiveness of the CIoT approach in healthcare applications.
导言:物联网(IoT)和云计算是最近的两项技术进步，其潜力尚未在一系列行业中实现。这些技术已用于医疗保健系统，以提高其性能。在这方面，物联网产生了大量的数据;此外，云计算是数据存储和复杂计算的可行选择。本研究的目的是根据主要应用领域、传感器、无线通信技术、消息传递协议、云平台和人工智能(AI)算法来识别和分类基于ciot的医疗保健的各个方面。材料和方法:我们进行了文献系统综述，并根据PRISMA指南进行了报道。使用相关关键词及其同义词对PubMed、IEEE、Scopus和Web of Science进行了搜索。两位独立作者根据确定的纳入和排除标准审查了论文的资格。结果:在检索到的2118篇论文中，有61篇最终入选本研究。本研究结果表明，大部分CIoT研究工作应用于使用亚马逊和IBM主导的云平台的患者监测系统和心血管患者监测系统。此外，医疗保健领域CIoT中使用最广泛的通信技术是蜂窝网络(3G和4G)、Wi-Fi和蓝牙。心血管、环境和位置传感器也是医疗保健CIoT应用中最常用的传感器类型。在云平台提供商中，亚马逊和IBM在医疗保健系统中的效用最高。大多数纳入的研究使用基于云的人工智能算法来诊断、分类和预测疾病。结论:云与物联网的集成可以在处理能力、存储容量、安全性、隐私性、性能、可靠性和可扩展性方面支持医疗保健系统。我们建议研究人员进行实验研究，以评估CIoT方法在医疗保健应用中的有效性。
{"title":"Cloud-Based Internet of Things in Healthcare Applications: A Systematic Literature Review","authors":"L. Gholamhosseini, A. Behmanesh, Somayeh Nasiri, S. Ehsanzadeh, F sadoughi","doi":"10.30699/fhi.v12i0.451","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.451","url":null,"abstract":"Introduction: The Internet of Things (IoT) and Cloud computing are two recent technological advances whose potential have not been realized in a range of industries. These technologies have been used in healthcare systems to improve their performance. In this regard, the IoT generates a large amount of data; also, cloud computing is a viable option for data storage and complex computing. The purpose of this study is to identify and categorize various aspects of CIoT-based healthcare in terms of main application domains, sensors, wireless communication technologies, messaging protocols, cloud platforms, and artificial intelligence (AI) algorithms.Material and Methods: We conducted a literature systematic review and reported according to the PRISMA guideline. PubMed, IEEE, Scopus, and Web of Science were searched using the related keywords and their synonyms. Two independent authors reviewed the papers' eligibility according to the defined inclusion and exclusion criteria.Results: Of the 2,118 papers retrieved, 61 were eventually selected in the study. Results of the present study revealed that the majority of CIoT research works were applied to patient monitoring systems and cardiovascular patient monitoring systems using Amazon and IBM dominating Cloud platforms. In addition, the most widely used communication technologies for CIoT in healthcare are cellular networks (3G and 4G), Wi-Fi, and Bluetooth. Cardiovascular, environmental, and position sensors are also the most common types of sensors used in healthcare CIoT applications. Among the Cloud platform providers, Amazon and IBM have the highest utility in healthcare systems. The majority of the included studies used Cloud-based AI algorithms to diagnose, classify, and predict diseases.Conclusion: The integration of the Cloud into the IoT can support healthcare systems in terms of processing power, storage capacity, security, privacy, performance, reliability, and scalability. We suggest researchers conduct experimental studies to evaluate the effectiveness of the CIoT approach in healthcare applications.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126940581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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