Healthcare Informatics Research最新文献

{"title":"Implementation of the Digital Health Approach to Support Learning for Health Students Based on Bloom's Taxonomy: A Systematic Review.","authors":"Savitri Citra Budi, Divi Galih Prasertyo Putri, Kintan Puspitasari, Al Razi Sena","doi":"10.4258/hir.2024.30.4.387","DOIUrl":"10.4258/hir.2024.30.4.387","url":null,"abstract":"<p><strong>Objectives: </strong>Health students' ability to utilize technology effectively is vital for improving the quality of future healthcare services. Relevant digital health education must be comprehensively integrated into training programs, continuing professional development activities, and school curricula to keep them current. This study investigated the most effective digital health approaches to enhance health students' cognitive, affective, and psychomotor skills, thereby preparing them for the workforce.</p><p><strong>Methods: </strong>A literature review was conducted by searching for articles from 2013 to 2023 in PubMed, Science Direct, ERIC, and Scopus. The search used the PICO model, focusing on experimental studies and digital learning.</p><p><strong>Results: </strong>The review identified 26 studies, categorizing digital education methods into platform-based (46.2%), tools-based (30.7%), and training-based approaches (23.1%). Participants included health students (57.7%), healthcare professionals (34.6%), and a combination of both (7.7%). The content materials primarily targeted curriculum objectives (65.4%) and clinical applications (34.6%). The outcomes, classified according to Bloom's taxonomy, were divided into cognitive (84.6%), affective (76.9%), and psychomotor (46.1%) domains.</p><p><strong>Conclusions: </strong>Digital health education benefits from a variety of approaches. A platformbased approach is recommended for delivering theoretical and methodological materials, a tools-based approach for simulations, and a training-based approach for practical skills to enhance the cognitive domain. Both platform-based and trainingbased approaches are advised to improve the affective and psychomotor dimensions of learning. This study underscores the importance of an integrated digital learning system in health educational institutions to prepare students for evolving health systems and to improve learning outcomes and skill transfer.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"387-397"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570657/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AminoApp: The First Brazilian Application for Dietary Monitoring of Inborn Errors of Metabolism in Patients on a Low-Protein Diet.","authors":"Bianca Fasolo Franceschetto, Júlia Montim Orlandi, Wanessa de Carvalho Rosa, Mariana Lima Scortegagna, Lilia Farret, Ida V D Schwartz, Soraia Poloni","doi":"10.4258/hir.2024.30.4.409","DOIUrl":"10.4258/hir.2024.30.4.409","url":null,"abstract":"<p><strong>Objectives: </strong>Disorders of amino acid metabolism fall under the category of inborn errors of metabolism that can be managed with a protein-restricted diet. However, adherence to such a diet often poses challenges, leading to low treatment engagement. Consequently, there is a pressing need for new resources to aid in dietary self-monitoring. The goal is to develop and implement \"AminoApp,\" an application tailored for dietary self-monitoring in patients with inborn errors of metabolism who are on a low-protein diet.</p><p><strong>Methods: </strong>The design and development of the application adhered to the user-centered design method. This approach emphasizes active participation and collaboration between users and designers/researchers throughout all stages of product development, including requirement gathering, prototype development, and evaluation. Usability was evaluated using the System Usability Scale, which has been validated in Portuguese.</p><p><strong>Results: </strong>The application's features include a food diary, a food consultation area, exam records, a recipe calculator, and reports on diet composition and metabolic control. The usability test included four patients on a low-protein diet, three caregivers, and three healthcare professionals. The average usability score was 84.9, with averages of 77.5 for patients, 85.8 for caregivers, and 91.6 for professionals, indicating that the application is user-friendly.</p><p><strong>Conclusions: </strong>AminoApp is the first application developed in Brazil designed to assist in managing inborn errors of metabolism that require a protein-restricted diet. It was found to be easy to use, and the initial results are promising. Further research is necessary to evaluate the impact of the application on metabolic control and treatment adherence.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"409-415"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570656/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vaccine Logistics Management Information System at Public Health Facilities in Amhara Region, Ethiopia: A Performance Evaluation.","authors":"Zelalem Tilahun Mekonen, Denny J Cho, Simon Peter Nadeem, Jose Arturo Garza-Reyes, Teferi Gedif Fenta","doi":"10.4258/hir.2024.30.4.375","DOIUrl":"10.4258/hir.2024.30.4.375","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to evaluate the performance of vaccine logistics management information systems at public health facilities in Amhara Region, Ethiopia.</p><p><strong>Methods: </strong>An institution-based concurrent explanatory mixed design was used at public health facilities in Amhara Region, Ethiopia. In total, 102 health facilities were selected using the multi-stage, stratified, random-sampling proportionate-to-size method. Data were collected using a structured data abstraction checklist from vaccine logistics management information system records. Additionally, experiences of Expanded Program for Immunization focal persons were gathered through interviewer-administered questionnaires.</p><p><strong>Results: </strong>Among the 102 health facilities surveyed, 99 (97.1%) provided vaccination services during the study period. On the day of the visit, the average availability and utilization rates of 15 vaccine logistics management information system forms were 44.1% and 40.5%, respectively. The mean inventory accuracy for tracer vaccines stood at 58.3% ± 45.1%. The overall average accuracy percentages for urban and rural vaccine request form reports were 73.4% and 69.6%, respectively.</p><p><strong>Conclusions: </strong>The performance of vaccine logistics management information systems in these public health facilities was suboptimal. Key issues identified include inconsistent use of recording forms, shortages of reporting forms, lack of digitalization, poor data quality, and a shortage of qualified staff. These findings underscore the urgent need for standardization of the vaccine logistics management information system and enhancement of data quality.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"375-386"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping Drug Terms via Integration of a Retrieval-Augmented Generation Algorithm with a Large Language Model.","authors":"Eizen Kimura, Yukinobu Kawakami, Shingo Inoue, Ai Okajima","doi":"10.4258/hir.2024.30.4.355","DOIUrl":"10.4258/hir.2024.30.4.355","url":null,"abstract":"<p><strong>Objectives: </strong>This study evaluated the efficacy of integrating a retrieval-augmented generation (RAG) model and a large language model (LLM) to improve the accuracy of drug name mapping across international vocabularies.</p><p><strong>Methods: </strong>Drug ingredient names were translated into English using the Japanese Accepted Names for Pharmaceuticals. Drug concepts were extracted from the standard vocabulary of OHDSI, and the accuracy of mappings between translated terms and RxNorm was assessed by vector similarity, using the BioBERT-generated embedded vectors as the baseline. Subsequently, we developed LLMs with RAG that distinguished the final candidates from the baseline. We assessed the efficacy of the LLM with RAG in candidate selection by comparing it with conventional methods based on vector similarity.</p><p><strong>Results: </strong>The evaluation metrics demonstrated the superior performance of the combined LLM + RAG over traditional vector similarity methods. Notably, the hit rates of the Mixtral 8x7b and GPT-3.5 models exceeded 90%, significantly outperforming the baseline rate of 64% across stratified groups of PO drugs, injections, and all interventions. Furthermore, the r-precision metric, which measures the alignment between model judgment and human evaluation, revealed a notable improvement in LLM performance, ranging from 41% to 50% compared to the baseline of 23%.</p><p><strong>Conclusions: </strong>Integrating an RAG and an LLM outperformed conventional string comparison and embedding vector similarity techniques, offering a more refined approach to global drug information mapping.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"355-363"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570653/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pain Management in Cancer Patients: The Effectiveness of Digital Game-based Interventions: A Rapid Literature Review.","authors":"Behrouz Alizadeh Savareh, Zahra Karandish, Fardis Farhoudi, Azadeh Bashiri","doi":"10.4258/hir.2024.30.4.297","DOIUrl":"10.4258/hir.2024.30.4.297","url":null,"abstract":"<p><strong>Objectives: </strong>Pain is a common side effect of cancer that negatively impacts biopsychosocial well-being and quality of life. There has been increasing interest in using digital game interventions for managing pain in cancer patients. The present study aimed to consolidate and summarize knowledge regarding the role of games in reducing pain among cancer patients and enhancing their overall quality of life.</p><p><strong>Methods: </strong>We reviewed studies published between 2000 and April 8, 2023, from databases such as PubMed, Scopus, and Web of Science. The focus was on determining the impact of health games on pain management in cancer patients.</p><p><strong>Results: </strong>An initial search identified 2,544 studies, which were narrowed down to 10 relevant articles after removing duplicates and assessing quality. These studies examined the use of mobile and computer games across various types of cancer, including both pediatric and adult cases. The findings indicate that digital games, particularly those utilizing virtual reality technologies, can diminish pain and anxiety while enhancing treatment outcomes. Overall, the application of these technologies has the potential to improve cancer treatment.</p><p><strong>Conclusions: </strong>Digital game interventions empower cancer patients by fostering effective communication and patient-centered approaches, which enhance perceptions, outcomes, and overall well-being. These games provide real-time feedback and facilitate interaction with healthcare professionals, which promotes self-management and boosts patient motivation and adherence to treatment protocols. As personalized educational platforms, they increase engagement through educational resources and symptom tracking, while also encouraging physical activity. Furthermore, they act as distraction tools during painful procedures, presenting new research opportunities in pain management and enhancing overall quality of life.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"297-311"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ChatGPT in Healthcare Writing: Advantages and Limitations.","authors":"SeyedAhmad SeyedAlinaghi, Pegah Mirzapour, Esmaeil Mehraeen","doi":"10.4258/hir.2024.30.4.416","DOIUrl":"10.4258/hir.2024.30.4.416","url":null,"abstract":"","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"416-418"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570662/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nursing Records Regarding Decision-Making in Cancer Supportive Care: A Retrospective Study in Japan.","authors":"Yuko Kawasaki, Manab Nii, Eina Nishioka","doi":"10.4258/hir.2024.30.4.364","DOIUrl":"10.4258/hir.2024.30.4.364","url":null,"abstract":"<p><strong>Objectives: </strong>This study was performed to examine the content of decision-making support and patient responses, as documented in the nursing records of individuals with cancer. These patients had received outpatient treatment at hospitals that met government requirements for providing specialized cancer care.</p><p><strong>Methods: </strong>Nursing records from the electronic medical record system (in the subjective, objective, assessment, and plan [SOAP] format), along with data from interviews, were extracted for patients receiving outpatient care at the Department of Internal Medicine and Palliative Care and the Department of Breast Oncology. Data analysis involved simple tabulation and text mining, utilizing KH Coder version 3.beta.07d.</p><p><strong>Results: </strong>The study included 42 patients from palliative care internal medicine and 60 from breast oncology, with mean ages of 70.5 ± 12.2 and 55.8 ± 12.2 years, respectively. Decisions most frequently regarded palliative care unit admission (25 cases) and genetic testing (24 cases). The assessment category covered keywords including (1) \"pain,\" \"treatment,\" \"future,\" \"recuperation,\" and \"home,\" as terms related to palliative care and internal medicine, as well as (2) \"treatment,\" \"relief,\" and \"genetics\" as terms related to breast oncology. The plan category incorporated keywords such as (1) \"treatment,\" \"relaxation,\" and \"visit\" and (2) \"explanation,\" \"confirmation,\" and \"conveyance.\"</p><p><strong>Conclusions: </strong>Nurses appear crucial in evaluating patients' symptoms and treatment paths during the decision-making support process, helping them make informed choices about future treatments, care settings, and genetic testing. However, when patients cannot make a decision solely based on the information provided, clinicians must address complex psychological concepts such as disease progression and the potential genetic impact on their children. Further detailed observational studies of nurses' responses to patients' psychological reactions are warranted.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"364-374"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570663/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the Usability and User Experience of the Jaminan Kesehatan Nasional Mobile Application in Indonesia.","authors":"Savira Putri Handasari, Respati Wulandari, Haikal","doi":"10.4258/hir.2024.30.4.324","DOIUrl":"10.4258/hir.2024.30.4.324","url":null,"abstract":"<p><strong>Objectives: </strong>The National Health Insurance (Jaminan Kesehatan Nasional or JKN) mobile application represents an administrative transformation of health social insurance in Indonesia. The application's user base has quadrupled in the past 2 years. The study aimed to evaluate the usability and user experience of the JKN mobile application in Indonesia.</p><p><strong>Methods: </strong>The study administered an online survey featuring the System Usability Scale (SUS) questionnaire alongside a user experience assessment. The survey was disseminated via social media and garnered responses from 370 participants. The variables examined included usability and user experience, specifically focusing on attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Data analysis was performed descriptively, and the results were benchmarked.</p><p><strong>Results: </strong>The JKN mobile application had an average SUS score of 60.9 ± 13.47 (adjective rating \"good,\" Grade \"F,\" acceptability rating of \"low marginal,\" and a percentile range of 34). User experience testing yielded the following results: attractiveness (1.09 ± 1.09), perspicuity (1.05 ± 1.17), efficiency (1.07 ± 1.20), dependability (1.03 ± 1.12), stimulation (0.88 ± 1.20), and novel-ty (0.58 ± 1.09). The benchmark for the JKN mobile application placed the user experience in the \"below average\" category.</p><p><strong>Conclusions: </strong>The evaluation of the usability and user experience of the JKN mobile application was generally positive. However, there is a need to improve the usability and all parameters of the user experience. Broader-scale research is needed to explore the factors that influence usage and user experience to promote the adoption of the JKN application and increase user satisfaction.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"324-332"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570665/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cancer-related Keywords in 2023: Insights from Text Mining of a Major Consumer Portal.","authors":"Wonjeong Jeong, Eunkyoung Song, Eunzi Jeong, Kyoung Hee Oh, Hye-Sun Lee, Jae Kwan Jun","doi":"10.4258/hir.2024.30.4.398","DOIUrl":"10.4258/hir.2024.30.4.398","url":null,"abstract":"<p><strong>Objectives: </strong>With the growing importance of monitoring cancer patients' internet usage, there is an increasing need for technology that expands access to relevant information through text mining. This study analyzed internet articles from portal sites in 2023 to identify trends in the information available to cancer patients and to derive meaningful insights.</p><p><strong>Methods: </strong>This study analyzed 19,578 news articles published on Naver, a major Korean portal site, from January 1, 2023, to December 31, 2023. Natural language processing, text mining, network analysis, and word cloud analysis were employed. The search term \"am\" (Korean for \"cancer\") was used to identify keywords related to cancer.</p><p><strong>Results: </strong>In 2023, an average of 1,631 cancer-related articles were published monthly, with a peak of 1,946 in September and a low of 1,371 in February. A total of 132,456 keywords were extracted, with \"cure\" (2,218 occurrences), \"lung cancer\" (1,652), and \"breast cancer\" (1,235) being the most frequent. Term frequency-inverse document frequency analysis ranked \"struggle\" (1064.172) as the most significant keyword, followed by \"lung cancer\" (839.988) and \"breast cancer\" (744.840). Network analysis revealed four distinct clusters focusing on treatment, celebrity-related issues, major cancer types, and cancer-causing factors.</p><p><strong>Conclusions: </strong>The analysis of cancer-related keywords in 2023 indicates that news articles often prioritize gossip over essential information. These findings provide foundational data for future policy directions and strategies to address misinformation. This study underscores the importance of understanding the nature of cancer-related information consumed by the public and offers insights to guide official policies and healthcare practices.</p>","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"398-408"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570664/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Milestones and Growth: The 30-Year Journey of Healthcare Informatics Research.","authors":"Hyejung Chang","doi":"10.4258/hir.2024.30.4.293","DOIUrl":"10.4258/hir.2024.30.4.293","url":null,"abstract":"","PeriodicalId":12947,"journal":{"name":"Healthcare Informatics Research","volume":"30 4","pages":"293-296"},"PeriodicalIF":2.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570660/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}