--- title: "International Science Digests" language: "en" type: "page" original_url: "https://www.atlas-digitale-gesundheitswirtschaft.de/en/international-science-digests/" human_version: "../../mensch/en/international-science-digests/" description: "This page provides compact overviews of current scientific studies and classification of technical innovations in form of Science Digests." publisher: "Lehrstuhl für Management und Innovation im Gesundheitswesen, Universität Witten/Herdecke" --- # International Science Digests ## Compact overviews of current scientific studies and classification of technical innovations with use cases for health professionals and healthcare executives --- - [![Lessons Learned From Multidomain mHealth Development Practice in Application of Lifestyle Management](https://www.atlas-digitale-gesundheitswirtschaft.de/mensch/assets/bilder/wp-content/uploads/2022/05/shutterstock_1508157266.png)](https://www.atlas-digitale-gesundheitswirtschaft.de/en/blog/2026/07/30/lessons-learned-from-multidomain-mhealth-development-practice-in-application-of-lifestyle-management/) Lessons Learned From Multidomain mHealth Development Practice in Application of Lifestyle Management While multidomain lifestyle mHealth interventions offer great promise for public health, their impact is often limited in the development process. Current research frequently overlooks micro-level design elements, leaving developers with few evidence-based lessons to draw from past experiences. [Weiterlesen: Lessons Learned From Multidomain mHealth Development Practice in Application of Lifestyle Management](blog/2026/07/30/lessons-learned-from-multidomain-mhealth-development-practice-in-application-of-lifestyle-management.md) - [![Smart Healthcare vs. the Silver Digital Divide](https://www.atlas-digitale-gesundheitswirtschaft.de/mensch/assets/bilder/wp-content/uploads/2022/05/shutterstock_558560407.png)](https://www.atlas-digitale-gesundheitswirtschaft.de/en/blog/2026/07/30/smart-healthcare-vs-the-silver-digital-divide/) Smart Healthcare vs. the Silver Digital Divide As global populations age, digital solutions are often presented as a means to ease healthcare burdens. But is that truly the case? How do older adults—the primary end users of many of these services—actually experience the growing use of digital tools in everyday care? [Weiterlesen: Smart Healthcare vs. the Silver Digital Divide](blog/2026/07/30/smart-healthcare-vs-the-silver-digital-divide.md) - [![Turning Medical Data into Decision Capacity: A Practical Blueprint for a Cloud-Based Platform in Anesthesiology](https://www.atlas-digitale-gesundheitswirtschaft.de/mensch/assets/bilder/wp-content/uploads/2022/05/shutterstock_1525668521.png)](https://www.atlas-digitale-gesundheitswirtschaft.de/en/blog/2026/07/30/turning-medical-data-into-decision-capacity-a-practical-blueprint-for-a-cloud-based-platform-in-anesthesiology/) Turning Medical Data into Decision Capacity: A Practical Blueprint for a Cloud-Based Platform in Anesthesiology Anesthesiologists make rapid decisions under time pressure, often with incomplete information. Can cloud-based platforms help translate available data into practical decision support? [Weiterlesen: Turning Medical Data into Decision Capacity: A Practical Blueprint for a Cloud-Based Platform in Anesthesiology](blog/2026/07/30/turning-medical-data-into-decision-capacity-a-practical-blueprint-for-a-cloud-based-platform-in-anesthesiology.md) - [![Is AI Really a Magic Wand in Emergency Departments?](https://www.atlas-digitale-gesundheitswirtschaft.de/mensch/assets/bilder/wp-content/uploads/2022/04/shutterstock_1459062743-1-scaled.jpg)](https://www.atlas-digitale-gesundheitswirtschaft.de/en/blog/2026/07/30/is-ai-really-a-magic-wand-in-emergency-departments/) Is AI Really a Magic Wand in Emergency Departments? Let’s paint a picture: In the bustling emergency department (ED), where every second counts, AI tools promise to sharpen doctors’ decision-making. But what if they don’t live up to what was promised? If that happens, how should we rethink the role of advanced tech when the stakes are high? [Weiterlesen: Is AI Really a Magic Wand in Emergency Departments?](blog/2026/07/30/is-ai-really-a-magic-wand-in-emergency-departments.md) - [![Innovation of Health Data Governance in Emergency Settings](https://www.atlas-digitale-gesundheitswirtschaft.de/mensch/assets/bilder/wp-content/uploads/2026/01/3.png)](https://www.atlas-digitale-gesundheitswirtschaft.de/en/blog/2026/07/29/rchis/) Innovation of Health Data Governance in Emergency Settings In multi-site and resource-constrained health settings, particularly in emergency contexts, information recording and reporting remain fragile. Documentation still often relies on paper and Excel, causing duplicate entry, costly manual aggregation, and avoidable errors [1, 2]. When standardized reporting is required, e.g. Emergency Medical Teams (EMT) Minimum Data Set, retrospective compilation turns daily reports into a major operational burden and weakens data completeness, consistency, and comparability, limiting quality management and continuous improvement [Weiterlesen: Innovation of Health Data Governance in Emergency Settings](blog/2026/07/29/rchis.md) - [![The Last Mile of Imaging AI: How to Support Physicians in Making Informed Adoption？](https://www.atlas-digitale-gesundheitswirtschaft.de/mensch/assets/bilder/wp-content/uploads/2026/01/2.png)](https://www.atlas-digitale-gesundheitswirtschaft.de/en/blog/2026/03/24/the-last-mile-of-imaging-ai-how-to-support-physicians-in-making-informed-adoption%ef%bc%9f/) The Last Mile of Imaging AI: How to Support Physicians in Making Informed Adoption？ Technological advances in medical imaging AI are continuously setting new benchmarks, yet in many hospitals it remains confined to pilot demonstrations or use by a small number of clinicians, still some distance from routine clinical practice. When physicians sit at the center of adoption decisions, what clear and actionable support do they need to both dare to use and be able to choose AI, and to truly embed it into everyday diagnostic workflows? [Weiterlesen: The Last Mile of Imaging AI: How to Support Physicians in Making Informed Adoption？](blog/2026/03/24/the-last-mile-of-imaging-ai-how-to-support-physicians-in-making-informed-adoption？.md) - « - 1 - [2](international-science-digests.md) - [3](international-science-digests.md) - … - [6](international-science-digests.md) - [Nächste Seite](international-science-digests.md) ## Images on this page - Lessons Learned From Multidomain mHealth Development Practice in Application of Lifestyle Management: ../../mensch/assets/bilder/wp-content/uploads/2022/05/shutterstock_1508157266.png - Smart Healthcare vs. the Silver Digital Divide: ../../mensch/assets/bilder/wp-content/uploads/2022/05/shutterstock_558560407.png - Turning Medical Data into Decision Capacity: A Practical Blueprint for a Cloud-Based Platform in Anesthesiology: ../../mensch/assets/bilder/wp-content/uploads/2022/05/shutterstock_1525668521.png - Is AI Really a Magic Wand in Emergency Departments?: ../../mensch/assets/bilder/wp-content/uploads/2022/04/shutterstock_1459062743-1-scaled.jpg - Innovation of Health Data Governance in Emergency Settings: ../../mensch/assets/bilder/wp-content/uploads/2026/01/3.png - The Last Mile of Imaging AI: How to Support Physicians in Making Informed Adoption？: ../../mensch/assets/bilder/wp-content/uploads/2026/01/2.png - Titelvideo.mp4: ../../mensch/assets/bilder/wp-content/uploads/2025/02/Titelvideo.mp4 - Hintergrund.jpg: ../../mensch/assets/bilder/wp-content/uploads/2025/01/Hintergrund.jpg --- This page is optimised for AI systems. Human-readable version: [International Science Digests](../../mensch/en/international-science-digests/)