Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz最新文献

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[Reflections on implementing population-based measures for the prevention of non-communicable diseases]. [关于实施以人口为基础的预防非传染性疾病措施的思考]。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-07-01 Epub Date: 2025-06-12 DOI: 10.1007/s00103-025-04078-6
Lisa M Pfadenhauer, Kerstin Sell, Stephan Voss, Eva A Rehfuess
{"title":"[Reflections on implementing population-based measures for the prevention of non-communicable diseases].","authors":"Lisa M Pfadenhauer, Kerstin Sell, Stephan Voss, Eva A Rehfuess","doi":"10.1007/s00103-025-04078-6","DOIUrl":"10.1007/s00103-025-04078-6","url":null,"abstract":"<p><strong>Background: </strong>In view of the global burden of non-communicable diseases (NCDs), the focus is shifting increasingly towards structural prevention measures. Effective implementation of these measures is crucial. Using the Context and Implementation of Complex Interventions (CICI) Framework, this article reflects on the implementation of two ratio prevention measures and discusses challenges in the application of implementation science approaches.</p><p><strong>Methods: </strong>Case 1 (Collaboration for Evidence-Based Healthcare and Public Health in Africa-CEBHA+) examined measures for the prevention of NCDs and road traffic accidents in sub-Saharan Africa. Case 2 (\"Präventionskette Freiham\") evaluated a community network in Germany that aims to enable children and adolescents from socially disadvantaged families to grow up well and healthy. Data published in project-related publications served as the basis for the analysis, supplemented by a questionnaire-based reflection by the researchers involved. For both data sources, the data collected were coded inductively and assigned to the deductive categories of the CICI Framework.</p><p><strong>Results: </strong>In both cases, contextual and structural conditions, implementation agents, and strategies were assessed on multiple levels, with an emphasis on implementation agents. While Präventionskette Freiham pursued a systematic process evaluation with explicit use of implementation science approaches, this was only implicitly considered in CEBHA+, which makes comparability, classification in the literature, and overarching consideration more difficult.</p><p><strong>Discussion: </strong>Implementation science approaches should be given a stronger focus in the field of relationship prevention in order to fully exploit their potential.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":"787-796"},"PeriodicalIF":1.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144274258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Status, classification, and potential of implementation research: an inventory for public health in Germany]. [现状、分类和实施研究的潜力:德国公共卫生清单]。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-07-01 Epub Date: 2025-06-30 DOI: 10.1007/s00103-025-04077-7
Heide Weishaar, Anna Kuehne, Kayvan Bozorgmehr, Hajo Zeeb
{"title":"[Status, classification, and potential of implementation research: an inventory for public health in Germany].","authors":"Heide Weishaar, Anna Kuehne, Kayvan Bozorgmehr, Hajo Zeeb","doi":"10.1007/s00103-025-04077-7","DOIUrl":"10.1007/s00103-025-04077-7","url":null,"abstract":"<p><p>The implementation of high-quality, evidence-based practice to improve the health of populations is a prerequisite and a core element of public health. However, gaps frequently exist between research and practice, leading to the underuse of effective interventions and misuse of inappropriate interventions. Implementation science aims to bridge the gap between knowledge production and implementation by generating evidence to improve the transfer of research findings and evidence-based practices into routine action. This discussion article reflects on the state of implementation science in Germany. First, we provide a descriptive classification of implementation science, followed by a review of selected theories, models, and frameworks that are used in implementation research to systematically analyze implementation strategies, barriers, facilitators, and outcomes of interventions. Subsequently, implementation science in Germany is examined with regard to specific projects, institutional integration, teaching, and networking among experts. The article concludes with a critical reflection on the limitations and potential of implementation science for public health in Germany.An English full-text version of this article is available at SpringerLink as Supplementary Information.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":"718-727"},"PeriodicalIF":1.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12254172/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144526463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Implementation of the national community health policy in Guinea: a decision space analysis of the roles and responsibilities of community health workers. 几内亚国家社区卫生政策的实施:社区卫生工作者作用和责任的决策空间分析。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-07-01 Epub Date: 2025-06-20 DOI: 10.1007/s00103-025-04076-8
Alexandre Delamou, Fassou Mathias Grovogui, Facely Camara, Delphin Kolié, Tohaninzé Goumou, Lior Miller, Amy Nye, Thomas Bossert
{"title":"Implementation of the national community health policy in Guinea: a decision space analysis of the roles and responsibilities of community health workers.","authors":"Alexandre Delamou, Fassou Mathias Grovogui, Facely Camara, Delphin Kolié, Tohaninzé Goumou, Lior Miller, Amy Nye, Thomas Bossert","doi":"10.1007/s00103-025-04076-8","DOIUrl":"10.1007/s00103-025-04076-8","url":null,"abstract":"<p><strong>Introduction: </strong>Community health workers (CHW) are crucial for universal health coverage (UHC) in low- and middle-income countries. Decentralization supports this goal but can cause issues if local actors misunderstand their roles. This study explores how Guinea's local health system actors understood and executed their responsibilities in delivering community health services from 2017 to 2021.</p><p><strong>Methods: </strong>This is a subanalysis of 168 CHW from a larger study of 522 respondents on the implementation of community health policy in Guinea. We used a sequential explanatory mixed-methods design to assess the knowledge, involvement, and decision space of national community health policy actors, focusing on CHW and community volunteers (Relais communautaires [RECO]). This analysis was guided by decision space theory and explored both de jure (formal) and de facto (actual) decision-making. De jure decision space refers to the choices authorized by official strategies, policies, or laws, while de facto decision space reflects the choices reported by local actors in practice.</p><p><strong>Results: </strong>Across all commune types, CHW and RECO demonstrated high knowledge and implementation levels of their roles in community health. Contrary to the initial hypothesis that fully implemented communes would have the highest decision-making space, commune type was not the primary determinant of decision-making space for CHW and RECO. The presence of CHW was positively associated with greater de jure and de facto decision-making space and enhanced capacity (p = 0.050). Univariate analysis showed that increased BCG vaccination coverage (vaccine to protect against tuberculosis) was significantly associated with expanded de jure decision-making space (p = 0.041). Bivariate (p = 0.014) and multivariate (p = 0.011) analyses revealed that higher pentavalent vaccination coverage (vaccine to protect against diphtheria, tetanus, pertussis, hepatitis B, and Haemophilus influenzae type b) was also significantly associated with a larger de jure decision-making space.</p><p><strong>Conclusion: </strong>In countries with decentralized responsibilities, it is crucial for community health actors to understand their decision-making range to improve health outcomes. Also, ensuring sufficient and consistent capacity and funding is essential to enhance health services.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":"738-746"},"PeriodicalIF":1.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12254089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance]. 人工智能在儿童和青少年预防医学中的应用与接受。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-06-30 DOI: 10.1007/s00103-025-04096-4
Janna-Lina Kerth, Anne Christine Bischops, Maurus Hagemeister, Lisa Reinhart, Kerstin Konrad, Bert Heinrichs, Thomas Meissner
{"title":"[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].","authors":"Janna-Lina Kerth, Anne Christine Bischops, Maurus Hagemeister, Lisa Reinhart, Kerstin Konrad, Bert Heinrichs, Thomas Meissner","doi":"10.1007/s00103-025-04096-4","DOIUrl":"https://doi.org/10.1007/s00103-025-04096-4","url":null,"abstract":"<p><p>The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibilities, particularly in the prevention of chronic diseases. AI-powered applications such as machine learning for the analysis of speech or movement patterns can, for example, help in the early diagnosis of autism spectrum disorders or motor development delays. In addition, AI-based systems support the treatment of children with type 1 diabetes through automated insulin dosing (AID) systems.AI enables more accurate diagnoses and personalized therapeutic approaches and helps relieve the burden on medical personnel. At the same time, there are challenges associated with the use of AI, which is why only a few applications have so far become part of routine clinical practice. These challenges include the protection of sensitive data and the respect for informational self-determination, ensuring freedom from discrimination, algorithmic transparency, and the acceptance of AI by all involved groups such as children, adolescents, parents, and medical professionals. All stakeholders express concerns about potential misjudgments, the loss of personal interactions, and the possible commercial use of data. Parents and professionals emphasize the importance of clear communication, shared decision-making, and training to promote better understanding. Moreover, there is often a lack of structured, high-quality, large datasets in compatible formats to effectively train AI systems.A sustainable integration of AI in pediatric and adolescent medicine requires large-scale clinical studies, access to high-quality datasets, and a nuanced analysis of the ethical and social implications.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144526461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Participatory approaches in the development of AI applications in medicine: opportunities and challenges]. [人工智能在医学应用开发中的参与式方法:机遇与挑战]。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-06-30 DOI: 10.1007/s00103-025-04095-5
Carolin Heizmann, Patricia Gleim, Philipp Kellmeyer
{"title":"[Participatory approaches in the development of AI applications in medicine: opportunities and challenges].","authors":"Carolin Heizmann, Patricia Gleim, Philipp Kellmeyer","doi":"10.1007/s00103-025-04095-5","DOIUrl":"10.1007/s00103-025-04095-5","url":null,"abstract":"<p><p>The increasing integration of artificial intelligence (AI) in healthcare not only holds the potential for efficiency gains, personalized medicine, and evidence-based decisions but also raises ethical and social challenges, such as bias, lack of transparency, and acceptance. Participatory approaches that actively involve patients, physicians, caregivers, and other stakeholders in the development process make it possible to align technological innovations with actual needs and to design them in a socially just way.The analysis distinguishes between participation as active co-design and partaking as access to social resources. Theoretical models such as the \"ladder of participation\" (Arnstein) illustrate the different levels of participation. In addition, methodological approaches such as action research, community-based participatory research, ethics by design, and value-sensitive design are discussed, which promote early ethical reflection and continuous user feedback.Practical examples such as KIPA (AI-supported patient information), KIDELIR (delirium prevention in care), and PRIVETDIS (neurotechnologies and mental privacy) show how participatory research can contribute to the optimization of care concepts. In addition to opportunities such as increased acceptance and user-centered technology design, challenges are identified, including limited resources, lack of representativeness, and invisible additional burdens for those involved. Finally, it is emphasized that in addition to technical and regulatory measures, continuous ethical reflection and transparent communication are essential to implement trustworthy and effective AI systems in healthcare.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144526462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Request for and practice of assisted suicide-results of a survey among members of the German association for palliative medicine]. [协助自杀的请求和实践——德国缓和医学协会成员调查的结果]。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-06-26 DOI: 10.1007/s00103-025-04087-5
Julian Turiaux, Isabel Sophie Burner-Fritsch, Martin Fegg, Georg Marckmann, Claudia Bausewein
{"title":"[Request for and practice of assisted suicide-results of a survey among members of the German association for palliative medicine].","authors":"Julian Turiaux, Isabel Sophie Burner-Fritsch, Martin Fegg, Georg Marckmann, Claudia Bausewein","doi":"10.1007/s00103-025-04087-5","DOIUrl":"https://doi.org/10.1007/s00103-025-04087-5","url":null,"abstract":"<p><strong>Background: </strong>There are hardly any data available on requests for and performance of assisted suicide in Germany. This study aims to describe requests for assisted suicide in the context of German palliative care, how the requests are handled, and under which conditions assisted suicide is performed.</p><p><strong>Method: </strong>Online survey (October 2023 to January 2024) among all members of the German Association for Palliative Medicine (n = 5667). Questionnaire development based on literature research and piloting with experts. Quantitative data analysis with IBM SPSS Statistics©. Qualitative data analysis with MAXQDA©.</p><p><strong>Results: </strong>The view rate was 434/2585 (16.8%), the participation rate was 337/434 (77.6%), and the completion rate was 272/337 (80.7%); n = 321 datasets were analyzed. Of the participants, 58.9% (189/321) have received specific requests for assisted suicide since 2020. In 93.8% (210/224), the suicidal person suffered from an illness, predominantly cancer (111/210; 52.9%). The most common reason for a suicide wish was loss of autonomy (153/224; 68.3%). Participants tended not to or did not agree at all with the following statements: in 23.6% (52/220), the suicidal person was informed about support options; in 26.8% (59/220), the suicide wish was firm and deliberate. Structured assessment of suicide wishes was performed in 52.5% (114/217). Assessment of free responsibility and assistance was carried out by the same person in 4/10 cases of assisted suicide.</p><p><strong>Conclusion: </strong>Most participants have received specific requests for assisted suicide since 2020. In many respects, participants dealt with requests competently. In some cases, participants found that free responsibility was impaired. Suicide wishes should be assessed in a structured way without exception. Standards and training are necessary to ensure that requests for assisted suicide are handled professionally.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144494744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges]. [人工智能(AI)在医疗保健中的实施:历史发展、当前技术和挑战]。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-06-25 DOI: 10.1007/s00103-025-04086-6
Jill von Conta, Merlin Engelke, Fin H Bahnsen, Amin Dada, Elisabeth Liebert, Felix Nensa, Jens Kleesiek, Anke Diehl
{"title":"[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges].","authors":"Jill von Conta, Merlin Engelke, Fin H Bahnsen, Amin Dada, Elisabeth Liebert, Felix Nensa, Jens Kleesiek, Anke Diehl","doi":"10.1007/s00103-025-04086-6","DOIUrl":"https://doi.org/10.1007/s00103-025-04086-6","url":null,"abstract":"<p><p>The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a transformation from simple rule-based systems to complex, data-driven approaches. Early applications focused on decision support, while innovative systems use neural networks and machine learning to recognise patterns in large datasets. The integration of AI technologies in medicine has given rise to diverse areas of application, which can be categorized into preventive AI, diagnostic AI, AI-assisted therapeutic, and administrative AI. Preventive AI analyses risk factors to enable early interventions, while diagnostic AI contributes to faster and more accurate diagnoses. AI-assisted therapy supports individualized treatments, such as personalized medication. Administrative AI optimizes processes such as appointment scheduling, resource management and billing.Despite their potential, AI systems face challenges. These include the fragmentation of health data, a lack of standardisation, data protection concerns and algorithmic biases. The establishment of interoperable data infrastructures and the development of ethical guidelines are crucial to overcoming these hurdles. Future trends include the further development of foundation models (large AI models that are based on broad datasets and can be used in a variety of ways), the integration of structured and unstructured data and greater personalisation in medicine. In the long term, AI can improve the quality and efficiency of healthcare. However, this requires close co-operation between research, industry and politics in order to ensure safe and sustainable implementation.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144483224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[AI-enabled clinical decision support systems: challenges and opportunities]. [人工智能临床决策支持系统:挑战与机遇]。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-06-25 DOI: 10.1007/s00103-025-04092-8
Maximilian Tschochohei, Lisa Christine Adams, Keno Kyrill Bressem, Jacqueline Lammert
{"title":"[AI-enabled clinical decision support systems: challenges and opportunities].","authors":"Maximilian Tschochohei, Lisa Christine Adams, Keno Kyrill Bressem, Jacqueline Lammert","doi":"10.1007/s00103-025-04092-8","DOIUrl":"https://doi.org/10.1007/s00103-025-04092-8","url":null,"abstract":"<p><p>Clinical decision-making is inherently complex, time-sensitive, and prone to error. AI-enabled clinical decision support systems (CDSS) offer promising solutions by leveraging large datasets to provide evidence-based recommendations. These systems range from rule-based and knowledge-based to increasingly AI-driven approaches. However, key challenges persist, particularly concerning data quality, seamless integration into clinical workflows, and clinician trust and acceptance. Ethical and legal considerations, especially data privacy, are also paramount.AI-CDSS have demonstrated success in fields like radiology (e.g., pulmonary nodule detection, mammography interpretation) and cardiology, where they enhance diagnostic accuracy and improve patient outcomes. Looking ahead, chat and voice interfaces powered by large language models (LLMs) could support shared decision-making (SDM) by fostering better patient engagement and understanding.To fully realize the potential of AI-CDSS in advancing efficient, patient-centered care, it is essential to ensure their responsible development. This includes grounding AI models in domain-specific data, anonymizing user inputs, and implementing rigorous validation of AI-generated outputs before presentation. Thoughtful design and ethical oversight will be critical to integrating AI safely and effectively into clinical practice.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144483223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tätigkeitsbericht der Zentralen Ethik-Kommission für Stammzellenforschung (ZES) : 22. Bericht nach Inkrafttreten des Stammzellgesetzes (StZG) für den Zeitraum vom 01.01.2024 bis 31.12.2024. 干细胞研究中央伦理委员会活动报告:22。《干细胞法》(StZG)于2024年1月1日至12月31日生效后的报告。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-06-20 DOI: 10.1007/s00103-025-04084-8
{"title":"Tätigkeitsbericht der Zentralen Ethik-Kommission für Stammzellenforschung (ZES) : 22. Bericht nach Inkrafttreten des Stammzellgesetzes (StZG) für den Zeitraum vom 01.01.2024 bis 31.12.2024.","authors":"","doi":"10.1007/s00103-025-04084-8","DOIUrl":"10.1007/s00103-025-04084-8","url":null,"abstract":"","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[More efficient use of resources in research laboratories through quality management]. [通过质量管理更有效地利用研究实验室的资源]。
IF 1.7 4区 医学
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Pub Date : 2025-06-05 DOI: 10.1007/s00103-025-04074-w
Sophia Sohns, Janine Kleymann-Hilmes
{"title":"[More efficient use of resources in research laboratories through quality management].","authors":"Sophia Sohns, Janine Kleymann-Hilmes","doi":"10.1007/s00103-025-04074-w","DOIUrl":"https://doi.org/10.1007/s00103-025-04074-w","url":null,"abstract":"<p><p>At first glance, research and quality management (QM) could hardly be more different. Research is characterized by freedom, creativity, and flexibility. QM often appears rigid, strict, and bureaucratic. Nevertheless, research laboratories can benefit significantly from the principles of QM, especially when it comes to increasing the quality and efficiency of research and thus making the best possible use of resources that are constantly limited.High research quality depends on various factors. These different influencing factors were examined in detail and implemented in a specific research quality management system (QMS) in pilot laboratories of the Robert Koch Institute (RKI) and at a university institution. The research QMS is based on the requirements of good scientific practice. It was shown that many laboratories have already established processes that can be further optimized and made more efficient by a QMS.A self-assessment tool for laboratory managers was developed to assess the maturity level of laboratory processes. This report provides an overview of the quality in research and shows ways in which this can be improved at the level of the working groups, tailored to their individual framework conditions. For this purpose, a QMS is proposed and a tool for the self-assessment of one's own processes is presented. The report is based on a comprehensive literature review and a cross-departmental and cross-institutional project of the RKI.</p>","PeriodicalId":9562,"journal":{"name":"Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144224397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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