--- title: "DIGI-HEALTH MONITOR Calendar Week 24, 2025" language: "en" type: "post" original_url: "https://www.atlas-digitale-gesundheitswirtschaft.de/en/blog/2025/06/18/digi-health-monitor-calendar-week-24-2025/" human_version: "../../../../../../mensch/en/blog/2025/06/18/digi-health-monitor-calendar-week-24-2025/" date: "2025-06-18" section: "Monitor" categories: ["Monitor"] description: "Global patient trust studies show AI in healthcare gains cautious acceptance, needing tailored, explainable, physician-led use; precision oncology evolves with multiomics and drug repurposing; Stanford’s ChatEHR streamlines EHR navigation; MUSC’s hybrid telehealth expands access for unhoused populat" publisher: "Lehrstuhl für Management und Innovation im Gesundheitswesen, Universität Witten/Herdecke" --- # DIGI-HEALTH MONITOR Calendar Week 24, 2025 *June 18, 2025 · Monitor* ## DIGI-HEALTH MONITOR: Calendar Week 24, 2025 ## Patient Demographics and Trust Shape Global AI Healthcare Acceptance A comprehensive study of 13,806 patients across 43 countries reveals cautiously optimistic attitudes toward AI in healthcare, with 57.6% expressing positive views despite significant demographic divides. Women, patients in poor health, and those with limited technological literacy show notably less enthusiasm for AI adoption. Trust emerges as the critical factor—only 41.8% trust AI’s accuracy in predicting treatment responses, the lowest confidence level recorded. Patients overwhelmingly prefer explainable AI systems and physician-led decision-making, even at the cost of slightly reduced accuracy. Major concerns center on data security, diminished doctor-patient relationships, and potential cost increases. The research, spanning six continents through the COMFORT network, underscores that successful AI implementation in healthcare requires tailored approaches addressing local patient populations’ unique characteristics and concerns rather than one-size-fits-all solutions. [Read More…](https://85e92187cce389752c767d75e6ca2980.eu-west-1.resend-links.com/CL0/https:%2F%2Fwww.insideprecisionmedicine.com%2Ftopics%2Fpatient-care%2Ftrust-and-demographics-influence-patient-attitudes-to-ai-healthcare%2F/1/010201975afb139e-0b1dac06-69b7-4f3d-882f-c976d58df3b1-000000/wluFTJz3G72Dw5-dr0WqPTr0ZyRd67csnWLm5IP2jE8=408) --- ## Precision Medicine Evolution: From Genetic Matching to Functional Drug Testing for Cancer Resistance Dr. Caroline Heckman from Finland’s Institute for Molecular Medicine is pioneering functional precision medicine approaches that transcend traditional genetic-drug matching by combining multiomics analysis with ex vivo drug sensitivity testing to address cancer’s fundamental challenge—tumor heterogeneity and treatment resistance evolution. While historical precision medicine focused on matching specific genetic alterations with targeted therapies, Heckman’s approach screens all approved drugs rather than condition-specific treatments, enabling drug repositioning opportunities for patients who no longer respond to standard care and helping pharmaceutical companies identify responsive patient populations for clinical trials. Her methodology involves analyzing patient samples at different disease stages to understand progression mechanisms, creating personalized treatment strategies that leverage existing approved medications in novel applications—a more sustainable and economical approach than developing entirely new drugs. Looking toward the next five years, Heckman envisions expanding beyond next-generation sequencing to incorporate proteomics and functional platforms into routine clinical practice, though implementation will require scaling down from comprehensive screening approaches to focused, targeted panels—similar to how whole genome sequencing evolved into targeted panel sequencing. The transition from research to clinic demands industry collaboration to develop streamlined assays that maintain predictive accuracy while becoming practically implementable across different medical centers, potentially transforming cancer treatment from reactive standard protocols to proactive, personalized therapeutic strategies based on real-time tumor biology analysis. [Read More…](https://85e92187cce389752c767d75e6ca2980.eu-west-1.resend-links.com/CL0/https:%2F%2Fwww.technologynetworks.com%2Ftn%2Farticles%2Fwhats-next-for-cancer-precision-medicine-400832/1/010201975afb139e-0b1dac06-69b7-4f3d-882f-c976d58df3b1-000000/LBIbSSuokAOxNPZci6bqNocP-crGCG95g7CG83QxwsE=408) --- ## Stanford’s ChatEHR Transforms Medical Records into Conversational AI Interface Stanford Medicine has developed ChatEHR, a groundbreaking AI software that allows clinicians to interact conversationally with electronic health records, transforming time-consuming chart reviews into streamlined question-and-answer sessions. Currently piloted with 33 healthcare providers, the system enables physicians to ask natural language questions like Does this patient have allergies? or What does their latest cholesterol test show? while automatically generating comprehensive chart summaries from within the secure medical record system. The technology addresses critical workflow inefficiencies—particularly in emergency situations where doctors must rapidly synthesize hundreds of pages of patient history—by providing instant access to relevant medical information without compromising clinical decision-making authority. Beyond simple queries, ChatEHR features ‘automations’ that perform evaluative tasks such as determining patient transfer eligibility or hospice care recommendations, potentially saving significant administrative burden. Built with responsible AI guidelines and evaluated through Stanford’s MedHELM framework, the system includes developing citation features to show information sources and maintains strict security protocols by pulling data directly from authenticated medical records. While designed as an information-gathering tool rather than a diagnostic aid, ChatEHR represents a significant step toward making electronic health records more user-friendly, allowing physicians to spend less time navigating complex documentation systems and more time providing direct patient care. [Read More…](https://85e92187cce389752c767d75e6ca2980.eu-west-1.resend-links.com/CL0/https:%2F%2Fmed.stanford.edu%2Fnews%2Fall-news%2F2025%2F06%2Fchatehr.html/1/010201975afb139e-0b1dac06-69b7-4f3d-882f-c976d58df3b1-000000/mVOTZyr6p9ZehKs7JP33Q076GkAE5l1T6cnrEFf4lXQ=408) --- ## MUSC Health’s Hybrid Telehealth Program Breaks Down Care Barriers for Unhoused Populations MUSC Health’s innovative CARES for the Unhoused program demonstrates how strategic telehealth integration can overcome traditional healthcare barriers, providing comprehensive care to Charleston’s unhoused population through a hybrid model combining in-person visits at community-based organizations, virtual consultations, and street medicine outreach. Launched in 2018 and now serving 500 visits annually with 250 patients, the program deploys resident physicians, nursing students, and specialty coordinators who meet patients ‘where they are’—whether at social service locations or literally under bridges—using telehealth to connect field teams with attending physicians for real-time clinical support. A recent stakeholder evaluation using the RE-AIM framework confirmed the program’s effectiveness, with patients praising provider reliability and accessibility while community partners highlighted the convenience of integrated healthcare delivery that addresses both medical and social needs simultaneously. Key success factors include maintaining close partnerships with social service agencies to provide wraparound care, respecting individual health goals rather than imposing medical agendas, and leveraging telehealth’s flexibility to accommodate the unique challenges unhoused individuals face in accessing traditional healthcare systems. The program continues expanding its scope by adding community health workers, coordinating with emergency services and law enforcement, and incorporating dental and point-of-care testing services, positioning telehealth as an essential tool for addressing health equity gaps among vulnerable populations who face significant barriers to conventional medical care. [Read More…](https://85e92187cce389752c767d75e6ca2980.eu-west-1.resend-links.com/CL0/https:%2F%2Fwww.techtarget.com%2Fvirtualhealthcare%2Ffeature%2FHow-telehealth-is-connecting-the-unhoused-to-care-in-SC/1/010201975afb139e-0b1dac06-69b7-4f3d-882f-c976d58df3b1-000000/-IK3ZuNtvZCVJSSBZu0eUS0O4x94AYyexwGglMt4K_4=408) --- ## AI Revolutionizes Medicine with Precision Gains and Persistent Human Oversight Needs Artificial intelligence is rapidly transforming healthcare through sophisticated applications spanning diagnosis, treatment personalization, drug development, and administrative efficiency, yet significant challenges persist around bias, data privacy, and equitable access. Current AI implementations include ambient documentation systems that reduce physician charting time by 16%, advanced imaging analysis that outperforms human radiologists in breast cancer detection, and robotic surgical assistance for enhanced precision. The technology excels at pattern recognition in massive datasets, enabling personalized treatment recommendations based on genetic profiles and accelerating drug discovery—exemplified by Rentosertib, the first AI-designed medication to reach clinical trials for lung disease treatment. However, critical limitations include training data gaps due to HIPAA restrictions, algorithmic bias that can perpetuate healthcare disparities, and high implementation costs that may exclude resource-limited facilities. While AI offers transformative potential for rural healthcare access and chronic disease management through continuous monitoring, experts emphasize that human oversight remains essential to prevent clinical skill deterioration and ensure ethical deployment. The next five years will likely see expanded AI integration, but success depends on addressing bias, maintaining human-centered care, and developing inclusive implementation strategies that don’t worsen existing healthcare inequities. [Read More…](https://85e92187cce389752c767d75e6ca2980.eu-west-1.resend-links.com/CL0/https:%2F%2Fhealth.usnews.com%2Fwellness%2Farticles%2Fhow-ai-is-transforming-medicine-and-patient-care/1/010201975afb139e-0b1dac06-69b7-4f3d-882f-c976d58df3b1-000000/a09pVLqqMDG-ms7QUEd8aFyXPii2I1EeCHNYxwVDbBM=408) --- ![Expect highly curated news on everything digital in the global healthcare economy, sourced from over 1,000 articles each week](https://www.atlas-digitale-gesundheitswirtschaft.de/mensch/assets/bilder/wp-content/uploads/sites/2/2024/06/Decision-Conversion-Funnel-4.png) In collaboration with ATLAS Alumni [Dr. Jonathan Koß](https://www.linkedin.com/in/dr-jonathan-koss-790540156/) and his innovative start-up, [MultiplyContent](https://www.linkedin.com/company/multiplycontent/), we are combining state-of-the-art AI with human oversight, to deliver tailored, engaging, and relevant news from across the globe. Expect highly curated news on everything digital in the global healthcare economy, sourced from over 1,000 articles each week. The AI-driven personalized content engine from Newsbutler gathers, prioritizes, and synthesizes the most important news based on our keyword parameters. Our team then reviews and further curates these results to bring you the most relevant and exciting updates each week. **Categories:** Monitor ## Images on this page - Expect highly curated news on everything digital in the global healthcare economy, sourced from over 1,000 articles each week: ../../../../../../mensch/assets/bilder/wp-content/uploads/sites/2/2024/06/Decision-Conversion-Funnel-4.png - ATLAS_Logo_RGB_RZ.jpg: ../../../../../../mensch/assets/bilder/wp-content/uploads/2025/08/ATLAS_Logo_RGB_RZ.jpg --- This page is optimised for AI systems. Human-readable version: [DIGI-HEALTH MONITOR Calendar Week 24, 2025](../../../../../../mensch/en/blog/2025/06/18/digi-health-monitor-calendar-week-24-2025/)