Yearbook of medical informatics最新文献

{"title":"IMIA Member Societies *as at November 2023","authors":"","doi":"10.1055/s-0043-1768761","DOIUrl":"https://doi.org/10.1055/s-0043-1768761","url":null,"abstract":"","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139352644","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}

{"title":"Machine and Deep Learning Dominate Recent Innovations in Sensors, Signals and Imaging Informatics.","authors":"Christian Baumgartner, Leticia Rittner, Thomas M Deserno","doi":"10.1055/s-0043-1768743","DOIUrl":"10.1055/s-0043-1768743","url":null,"abstract":"<p><strong>Objectives: </strong>This review presents research papers highlighting notable developments and trends in sensors, signals, and imaging informatics (SSII) in 2022.</p><p><strong>Method: </strong>We performed a bibliographic search in PubMed combining Medical Subject Heading (MeSH) terms and keywords to create particular queries for sensors, signals, and imaging informatics. Only papers published in journals containing greater than three articles in the search query were considered. Using a three-point Likert scale (1 = not include, 2 = perhaps include, 3 = include), we reviewed the titles and abstracts of all database results. Only articles that scored three times Likert scale 3, or two times Likert scale 3, and one time Likert scale 2 were considered for full paper review. On this pre-selection, only papers with a total of at least eight points of the three section co-editors were considered for external review. Based on the external reviewers, we selected the top two papers representing significant research in SSII.</p><p><strong>Results: </strong>Among the 469 returned papers published in 2022 in the various areas of SSII, 90, 31, and 348 papers for sensors, signals, and imaging informatics, and then, the full review process selected the two best papers. From the 469 papers, the section co-editors identified 29 candidate papers with at least 8 Likert points in total, of which 9 were nominated as the best contributions after a full paper assessment. Five external reviewers evaluated the nominated papers, and the two highest-scoring papers were selected based on the overall scores of all external reviewers. A consensus of the International Medical Informatics Association (IMIA) Yearbook editorial board finally approved the nominated papers. Machine and deep learning-based techniques continue to be the dominant theme in this field.</p><p><strong>Conclusions: </strong>Sensors, signals, and imaging informatics is a dynamic field of intensive research with increasing practical applications to support medical decision-making on a personalized basis.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"32 1","pages":"282-285"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751153/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139040670","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":"Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges.","authors":"Erikson J de Aguiar, Caetano Traina, Agma J M Traina","doi":"10.1055/s-0043-1768731","DOIUrl":"10.1055/s-0043-1768731","url":null,"abstract":"<p><strong>Objectives: </strong>Machine learning (ML) is a powerful asset to support physicians in decision-making procedures, providing timely answers. However, ML for health systems can suffer from security attacks and privacy violations. This paper investigates studies of security and privacy in ML for health.</p><p><strong>Methods: </strong>We examine attacks, defenses, and privacy-preserving strategies, discussing their challenges. We conducted the following research protocol: starting a manual search, defining the search string, removing duplicated papers, filtering papers by title and abstract, then their full texts, and analyzing their contributions, including strategies and challenges. Finally, we collected and discussed 40 papers on attacks, defense, and privacy.</p><p><strong>Results: </strong>Our findings identified the most employed strategies for each domain. We found trends in attacks, including universal adversarial perturbation (UAPs), generative adversarial network (GAN)-based attacks, and DeepFakes to generate malicious examples. Trends in defense are adversarial training, GAN-based strategies, and out-of-distribution (OOD) to identify and mitigate adversarial examples (AE). We found privacy-preserving strategies such as federated learning (FL), differential privacy, and combinations of strategies to enhance the FL. Challenges in privacy comprehend the development of attacks that bypass fine-tuning, defenses to calibrate models to improve their robustness, and privacy methods to enhance the FL strategy.</p><p><strong>Conclusions: </strong>In conclusion, it is critical to explore security and privacy in ML for health, because it has grown risks and open vulnerabilities. Our study presents strategies and challenges to guide research to investigate issues about security and privacy in ML applied to health systems.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"32 1","pages":"269-281"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751106/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139040674","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":"Telehealth as a Component of One Health: a Position Paper.","authors":"Arindam Basu, Vije Kumar Rajput, Marcia Ito, Prasad Ranatunga, Craig Kuziemsky, Gumindu Kulatunga, Inga Hunter, Najeeb Al-Shorbaji, Shashi Gogia, Sriram Iyengar","doi":"10.1055/s-0043-1768728","DOIUrl":"10.1055/s-0043-1768728","url":null,"abstract":"<p><strong>Introduction: </strong>One Health (OH) refers to the integration of human, animal, and ecosystem health within one framework in the context of zoonoses, antimicrobial resistance and stewardship, and food security. Telehealth refers to distance delivery of healthcare. A systems approach is central to both One Health and telehealth, and telehealth can be a core component of One Health. Here we explain how telehealth might be integrated into One Health.</p><p><strong>Methods: </strong>We have considered antimicrobial resistance (AMR) as a use case where both One Health and telehealth can be used for coordination among the farming sector, the veterinary services, and human health providers to mitigate the risk of AMR. We conducted a narrative review of the literature to develop a position on the inter-relationships between telehealth and One Health. We have summarised how telehealth can be incorporated within One Health.</p><p><strong>Results: </strong>Clinicians have used telehealth to address antimicrobial resistance, zoonoses, food borne infection, improvement of food security and antimicrobial stewardship. We identified little existing evidence in support of the usage of telehealth within a One Health paradigm, although in isolation, both are useful for the same purpose, i.e., mitigation of the significant public health risks posed by zoonoses, food borne infections, and antimicrobial resistance.</p><p><strong>Conclusions: </strong>It is possible to integrate telehealth within a One Health framework to develop effective inter-sectoral communication essential for the mitigation and addressing of zoonoses, food security, food borne infection containment and antimicrobial stewardship. More research is needed to substantiate and investigate this model of healthcare.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"32 1","pages":"19-26"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751139/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139040675","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":"Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications.","authors":"Werner O Hackl, Sabrina B Neururer, Bernhard Pfeifer","doi":"10.1055/s-0043-1768756","DOIUrl":"10.1055/s-0043-1768756","url":null,"abstract":"<p><strong>Objective: </strong>In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2022 in the CIS field.</p><p><strong>Methods: </strong>The editors follow a systematic approach to gather relevant articles and select the best papers for the section. This year, they updated the query to incorporate the topic of telemedicine and removed search terms related to geographic information systems. The revised query resulted in a larger number of identified papers, necessitating the appointment of a third section editor to handle the increased workload. The editors narrowed the initial pool of articles to 15 candidate papers through a multi-stage selection process. At least seven independent reviews were collected for each candidate paper, and a selection meeting with the IMIA Yearbook editorial board led to the final selection of the best papers for the CIS section.</p><p><strong>Results: </strong>The query was carried out in mid-January 2023 and retrieved a deduplicated result set of 5,206 articles from 1,500 journals. This year, 15 papers were nominated as candidates, and four were finally selected as the best papers in the CIS section.Including telemedicine in the query resulted in a substantial increase in the number of papers found. The analysis highlights the growing convergence between clinical information systems and telemedicine, with mobile health (mHealth) technologies and data science applications gaining prominence. The selected candidate papers emphasize the practical impact of research efforts, focusing on patient-centric outcomes and benefits, including intelligent mobile health monitoring systems and AI-assisted decision-making in healthcare.</p><p><strong>Conclusions: </strong>Looking ahead, the field of CIS is expected to continue evolving, driven by advances in telemedicine, mHealth technologies, data science, and AI integration, leading to more efficient, patient-oriented, and intelligent healthcare systems and overall improvement of global healthcare outcomes.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"32 1","pages":"127-137"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139040676","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":"Health Equity in Clinical Research Informatics.","authors":"Sigurd Maurud, Silje H Henni, Anne Moen","doi":"10.1055/s-0043-1768720","DOIUrl":"10.1055/s-0043-1768720","url":null,"abstract":"<p><strong>Objectives: </strong>Through a scoping review, we examine in this survey what ways health equity has been promoted in clinical research informatics with patient implications and especially published in the year of 2021 (and some in 2022).</p><p><strong>Method: </strong>A scoping review was conducted guided by using methods described in the Joanna Briggs Institute Manual. The review process consisted of five stages: 1) development of aim and research question, 2) literature search, 3) literature screening and selection, 4) data extraction, and 5) accumulate and report results.</p><p><strong>Results: </strong>From the 478 identified papers in 2021 on the topic of clinical research informatics with focus on health equity as a patient implication, 8 papers met our inclusion criteria. All included papers focused on artificial intelligence (AI) technology. The papers addressed health equity in clinical research informatics either through the exposure of inequity in AI-based solutions or using AI as a tool for promoting health equity in the delivery of healthcare services. While algorithmic bias poses a risk to health equity within AI-based solutions, AI has also uncovered inequity in traditional treatment and demonstrated effective complements and alternatives that promotes health equity.</p><p><strong>Conclusions: </strong>Clinical research informatics with implications for patients still face challenges of ethical nature and clinical value. However, used prudently-for the right purpose in the right context-clinical research informatics could bring powerful tools in advancing health equity in patient care.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":" ","pages":"138-145"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751137/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9755301","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":"Advances in Clinical Decision Support Systems: Contributions from the 2022 Literature.","authors":"Christoph U Lehmann, Vignesh Subbian","doi":"10.1055/s-0043-1768751","DOIUrl":"10.1055/s-0043-1768751","url":null,"abstract":"<p><strong>Objective: </strong>To summarize significant research contributions published in 2022 in the field of clinical decision support (CDS) systems and select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook 2023.</p><p><strong>Methods: </strong>A renewed search query for identifying CDS scholarship was developed using Medical Subject Headings (MeSH) terms and related keywords. The query was executed in PubMed in January 2023. The search results were reviewed in three stages by two reviewers: title-based triaging, followed by abstract screening, and then full text review. The resulting articles were sent for external review to identity best paper candidates.</p><p><strong>Results: </strong>A total of 1,939 articles related to CDS were retrieved. Of these, 11 articles were selected as candidates for best papers. The general themes of the final three best papers are (1) reducing documentation burden through in-line guidance for clinical notes, (2) clinician engagement for continuous improvement of CDS, and (3) mitigating healthcare-related carbon emissions using scalable and accessible CDS, respectively.</p><p><strong>Conclusion: </strong>The field of clinical decision support remains highly active and dynamic, with innovative contributions to a range of clinical domains from primary to acute care. Interoperability issues, documentation burden, clinician acceptance, and the need for effective integration into existing healthcare workflows are among the prominent challenges and areas of interest faced by CDS implementation efforts.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"32 1","pages":"179-183"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751149/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139040618","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":"Broad Trends in Public Health and Epidemiology Informatics.","authors":"Gayo Diallo, Georgeta Bordea, Cécilia Samieri","doi":"10.1055/s-0043-1768754","DOIUrl":"10.1055/s-0043-1768754","url":null,"abstract":"<p><strong>Objectives: </strong>The objective of this study is to highlight innovative research and contemporary trends in the area of Public Health and Epidemiology Informatics (PHEI).</p><p><strong>Methods: </strong>Following a similar approach to last year's edition, a meticulous search was conducted on PubMed (with keywords including topics related to Public Health, Epidemiological Surveillance and Medical Informatics), examining a total of 2,022 scientific publications on Public Health and Epidemiology Informatics (PHEI). The resulting references were thoroughly examined by the three section editors. Subsequently, 10 papers were chosen as potential candidates for the best paper award. These selected papers were then subjected to peer-review by six external reviewers, in addition to the section editors and two chief editors of the IMIA yearbook of medical informatics. Each paper underwent a total of five reviews.</p><p><strong>Results: </strong>Out of the 539 references retrieved from PubMed, only two were deemed worthy of the best paper award, although four papers had the potential to qualify in total. The first best paper by pertains to a study about the need for a new annotation framework due to inadequacies in existing methods and resources. The second paper elucidates the use of Weibo data to monitor the health of Chinese urbanites. The correlation between air pollution and health sensing was measured via generalized additive models.</p><p><strong>Conclusions: </strong>One of the primary findings of this edition is the dearth of studies identified for the PHEI section, which represents a significant decline compared to the previous edition. This is particularly surprising given that the post-COVID period should have led to an increased use of information and communication technology for public health issues.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"32 1","pages":"264-268"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139040621","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 Informatics 2023: Data Sharing and Federating Learning Point Towards New Collaborative Opportunities.","authors":"Jeremy L Warner, Debra Patt","doi":"10.1055/s-0043-1768744","DOIUrl":"10.1055/s-0043-1768744","url":null,"abstract":"<p><strong>Objective: </strong>To summarize significant research contributions on cancer informatics published in 2022.</p><p><strong>Methods: </strong>An extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2022 that address topics in cancer informatics. The selection process comprised three steps: (i) ten candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of three best papers was conducted by the editorial board of the Yearbook.</p><p><strong>Results: </strong>The three selected best papers demonstrate advances in federated learning, drug synergy prediction, and utilization of clinical note data.</p><p><strong>Conclusion: </strong>Cancer informatics continues to mature as a subfield of biomedical informatics. Applications of informatics methods to data sharing and federated approaches are especially notable in 2022.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"32 1","pages":"111-114"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751122/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139040622","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":"Informatics for One Health.","authors":"Kate Fultz Hollis, Fleur Mougin, Lina F Soualmia","doi":"10.1055/s-0043-1768757","DOIUrl":"10.1055/s-0043-1768757","url":null,"abstract":"<p><strong>Objectives: </strong>To introduce the 2023 International Medical Informatics Association (IMIA) Yearbook by the editors.</p><p><strong>Methods: </strong>The editorial provides an introduction and overview to the 2023 IMIA Yearbook where the special topic is \"Informatics for One Health\". The special topic, survey papers and some best papers are discussed. The section changes in the Yearbook editorial committee are also described.</p><p><strong>Results: </strong>IMIA Yearbook 2023 provides many perspectives on a relatively new topic called \"One Digital Health\". The subject is vast, and includes the use of digital technologies to promote the well-being of people and animals, but also of the environment in which they evolve. Many sections produced new work in the topic including One Health and all sections included the latest themes in many specialties in medical informatics.</p><p><strong>Conclusions: </strong>The theme of \"Informatics for One Health\" is relatively new but the editors of the IMIA Yearbook have presented excellent and thought-provoking work for biomedical informatics in 2023.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"32 1","pages":"2-6"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10994713/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140852232","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}