# Generative AI in Clinical Trials * **Definition:** Generative AI in Clinical Trials refers to the application of artificial intelligence techniques that generate new data, insights, or models to enhance the design, execution, and analysis of clinical trials. This includes the creation of synthetic patient data, optimization of trial protocols, simulation of trial outcomes, and personalized treatment strategies, ultimately aiming to improve efficiency, reduce costs, and accelerate the drug development process. * **Taxonomy:** Healthcare Topics / Generative AI in Clinical Trials ## News * Selected news on the topic of **Generative AI in Clinical Trials**, for healthcare technology leaders * 12.8K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/27/2025 | [**Ambient AI gains ground but affordability lags**](https://www.beckershospitalreview.com/healthcare-information-technology/ai/ambient-ai-gains-ground-but-affordability-lags/) | [[Beckers Hospital Review]] | | 5/27/2025 | [**A look at Epic's new offerings**](https://www.beckershospitalreview.com/healthcare-information-technology/ehrs/a-look-at-epics-new-offerings/) | [[Beckers Hospital Review]] | | 5/25/2025 | [**Action Framework for AI Agents in Healthcare - by Alex G. Lee - May, 2025 - Medium**](https://medium.com/@alexglee/action-framework-for-ai-agents-in-healthcare-f4801f8dcaa6) | [[Medium]] | | 5/12/2025 | [**Should health systems disclose when they're using AI?**](https://www.beckershospitalreview.com/healthcare-information-technology/ai/should-health-systems-disclose-when-theyre-using-ai/) | [[Beckers Hospital Review]] | | 5/8/2025 | [**Japan to Get First Generative AI Healthcare Agent via Hippocratic AI Team-Up**](https://hitconsultant.net/2025/05/08/japan-to-get-first-generative-ai-healthcare-agent-via-hippocratic-ai-eucalia-team-up/) | [[HIT Consultant]] | | 3/4/2025 | [**What's coming to Epic**](https://www.beckershospitalreview.com/ehrs/whats-coming-to-epic.html) | [[Beckers Hospital Review]] | | 2/16/2025 | [**The Rise of Decentralized Clinical Trials: Transforming Medical Research in the Digital Age**](https://medium.com/@anand.butani/the-rise-of-decentralized-clinical-trials-transforming-medical-research-in-the-digital-age-14de2e771e75) | [[Medium]] | | 2/11/2025 | [**Healthcare enters AI agent era**](https://www.beckershospitalreview.com/artificial-intelligence/healthcare-enters-ai-agent-era.html) | [[Beckers Hospital Review]] | | 1/31/2025 | [**The Digital Health Frontier: Redefining Healthcare With Tech In 2025 - Forbes**](https://www.forbes.com/councils/forbesbusinessdevelopmentcouncil/2025/01/31/the-digital-health-frontier-redefining-healthcare-with-tech-in-2025/) | [[Forbes]] | | 1/29/2025 | [**How genAI and precision medicine will change healthcare in 2025**](https://www.healthcareitnews.com/news/how-genai-and-precision-medicine-will-change-healthcare-2025) | [[Healthcare IT News]] | | 1/27/2025 | [**AI in healthcare 2025: balancing quick wins with long-term plays, risks**](https://www.beckershospitalreview.com/strategy/ai-in-healthcare-2025-balancing-quick-wins-with-long-term-plays-risks.html) | [[Beckers Hospital Review]] | | 1/23/2025 | [**2025 is the Year of Building Resilience with Emerging Health Technology - HIT Consultant**](https://hitconsultant.net/2025/01/23/building-resilience-with-emerging-health-technology/) | [[HIT Consultant]] | | 1/15/2025 | [**Wearable Devices and Mobile Applications - 2025 Health IT Predictions**](https://www.healthcareittoday.com/2025/01/15/wearable-devices-and-mobile-applications-2025-health-it-predictions/) | [[Healthcare IT Today]] | | 1/14/2025 | [**Healthcare Trends Shaping 2025 And Insights For Industry Leaders - Forbes**](https://www.forbes.com/councils/forbesbusinesscouncil/2025/01/14/healthcare-trends-shaping-2025-and-insights-for-industry-leaders/) | [[Forbes]] | | 1/14/2025 | [**Clinical Informatics Market to Hit USD 563.18 Billion by 2030 with 16.0AGR**](https://www.prnewswire.com/news-releases/clinical-informatics-market-to-hit-usd-563-18-billion-by-2030-with-16-0-cagr--marketsandmarkets-302350345.html) | [[PR Newswire]] | | 1/9/2025 | [**Population Health Management Market size to increase by USD 19.40 Billion between 2024 ...**](https://www.prnewswire.com/news-releases/population-health-management-market-size-to-increase-by-usd-19-40-billion-between-2024-to-2029--market-segmentation-by-component-end-user-geography---technavio-302345720.html) | [[PR Newswire]] | | 1/6/2025 | [**The AI Revolution in Healthcare. Authors: Tim Hulsen, Senior Data & AI… - Philips Technology Blog**](https://medium.com/philips-technology-blog/the-ai-revolution-in-healthcare-2fe341229ac2) | [[Medium]] | | 1/3/2025 | [**Robert Goodman on LinkedIn: Generative AI in healthcare: Adoption trends and what's next**](https://www.linkedin.com/posts/robertbgoodman_generative-ai-in-healthcare-adoption-trends-activity-7280595413026451456--675) | [[Linkedin]] | | 12/16/2024 | [**How GSIs Help Healthcare Providers Improve Patient Care With GenAI**](https://www.forbes.com/sites/stevemcdowell/2024/12/16/how-gsis-help-healthcare-providers-improve-patient-care-with-genai/) | [[Forbes]] | | 12/13/2024 | [**Title: Navigating the Generative AI Journey: A Strategic Roadmap for Healthcare Organizations**](https://blogs.perficient.com/2024/12/13/title-navigating-the-generative-ai-journey-a-strategic-roadmap-for-healthcare-organizations/) | [[Perficient Healthcare]] | | 12/6/2024 | [**eMerge Americas Announces 2025 Healthtech Innovation Hub Presented by Jackson ...**](https://www.prnewswire.com/news-releases/emerge-americas-announces-2025-healthtech-innovation-hub-presented-by-jackson-health-system-and-uhealth-welcoming-new-strategic-partners-302324635.html) | [[PR Newswire]] | | 11/27/2024 | [**AI in Healthcare News and Updates**](https://www.healthitanswers.net/ai-in-healthcare-news-and-updates-112724/) | [[Health IT Answers]] | | 11/20/2024 | [**2025 Outlook: Tackling AI, Cybersecurity, and Regulatory Challenges**](https://www.ajmc.com/view/2025-outlook-tackling-ai-cybersecurity-and-regulatory-challenges) | [[AJMC]] | | 8/8/2024 | [**Novel AI model may enhance health data interoperability - Medical Xpress**](https://medicalxpress.com/news/2024-08-ai-health-interoperability.html) | [[MedicalXpress]] | | 1/22/2024 | [**AI risks in healthcare: Misdiagnosis, inequality, and ethical concerns**](https://www.news-medical.net/news/20240123/AI-risks-in-healthcare-Misdiagnosis-inequality-and-ethical-concerns.aspx) | [[News Medical Net]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Ryght AI**: A technology platform that leverages generative AI to optimize clinical trial workflows, improving decision-making for research sites and sponsors. - **Key Player**: Ryght AI, Definition: A technology provider focused on optimizing and automating clinical trials through generative AI solutions. - **IQVIA**: A leading clinical research organization recognized for its end-to-end generative AI capabilities in life sciences, enhancing clinical trial design and operational efficiency. - **Epic**: A healthcare technology company expanding generative AI capabilities to automate clinical tasks and improve patient experience. - **Paradigm Health**: An AI-driven platform provider focused on automating processes in clinical trials to improve patient recruitment and retention. - **Trigent Software**: A provider of advanced generative AI services aimed at transforming healthcare operations, focusing on drug discovery and patient care optimization. - **Mass General Brigham**: A healthcare organization emphasizing the rapid adoption of generative AI for clinical documentation and patient communication. - **Hippocratic AI**: A company that has partnered with EUCALIA to launch Japan's first generative AI healthcare agent aimed at improving patient access and reducing clinician workload. - **NYU Langone Health**: An academic medical center establishing a Health Informatics department to leverage generative AI in clinical care and research. - **Philips**: A healthcare leader implementing AI for clinical decision support and emphasizing a human-centered approach to AI development. - **Insilico Medicine**: A company that developed a generative AI drug for treating idiopathic pulmonary fibrosis, demonstrating safety and efficacy. - **FDA**: The U.S. Food and Drug Administration, which is forming a Digital Health Advisory Committee to discuss generative AI in medical devices. - **Ensemble**: A leading revenue cycle managed services company that utilizes generative AI to enhance healthcare providers' financial outcomes. - **Amber Nigam**: CEO of basys.ai, leading efforts to streamline prior authorization using generative AI. - **NVIDIA**: A leader in AI-powered medical applications, enhancing real-time medical imaging and predictive diagnostics. - **Apexon**: Recognized for delivering AI-powered solutions and driving innovation in generative AI and advanced analytics. - **RevelAi Health**: A company specializing in AI-driven population health solutions aimed at improving patient engagement and reducing clinician burnout. - **Maverick Medical AI**: A company that has partnered with NewVue.ai and RADPAIR to enhance radiology workflows using generative AI. - **Qualified Health**: A startup aiming to simplify the implementation and governance of AI solutions in healthcare. ### Partnerships and Collaborations - **Hippocratic AI and EUCALIA**: Collaboration to create a generative AI healthcare agent to enhance efficiency and accessibility in Japan's healthcare system. - **RevelAi Health and Zimmer Biomet**: Entered into a co-marketing agreement to promote generative AI-powered solutions for value-based orthopedic care. - **HealthEdge and Codoxo**: Partnership to enhance payment integrity processes for healthcare payers using generative AI. - **Keck School of Medicine and Ryght Research Network**: This partnership aims to streamline clinical trial operations by leveraging AI technology to enhance communication and accelerate trial timelines. - **NTT Data and Amelia**: Partnership for enhancing patient engagement through AI solutions. - **Microsoft and Mass General Brigham**: Collaborating to enhance AI in medical imaging, focusing on improving workflow efficiencies and accuracy. - **Maverick Medical AI, NewVue.ai, RADPAIR**: A strategic partnership to enhance radiology workflows and revenue cycle management, integrating generative AI capabilities. - **Coalition for Health AI**: Works with various organizations to establish best practices for AI in healthcare. - **AWS and General Catalyst**: This partnership focuses on developing AI-powered healthcare solutions to enhance personalized care and operational efficiency. - **Cognizant and Google Cloud**: Collaboration to improve administrative efficiency using AI. - **MCW and Ryght Research Network**: This partnership aims to streamline clinical trial processes and improve patient enrollment, particularly for underserved populations. - **Netsmart and Apricot**: This partnership focuses on enhancing operational efficiency for home care and hospice agencies through generative AI technology. - **Ellipsis Health and Ceras Health**: Partnership to enhance mental health care through AI-powered voice biomarker technology. - **Sheba Medical Center and Paradigm Health**: This collaboration aims to create a global network to enhance clinical research and make clinical trials more accessible and patient-centered. - **QPS Holdings and Ryght AI**: This collaboration integrates QPS's extensive network of research sites into the Ryght Research Network to address operational inefficiencies in clinical trials. - **e& and IBM**: Partnering to implement a comprehensive AI governance solution aimed at enhancing compliance and ethical practices. - **Philips and AWS**: Expanded collaboration to enhance HealthSuite cloud services, integrating diagnostic workflows. - **MEDITECH and Google Cloud**: Showcasing the Expanse platform at HIMSS25 to highlight intelligent interoperability in patient care. - **InterSystems and HIMSS25**: Demonstrating IntelliCare's potential to improve patient care and operational efficiency. ### Innovations, Trends, and Initiatives - **Generative AI in Clinical Trials**: Generative AI is being utilized to automate processes, improve site selection, and enhance patient recruitment and retention in clinical trials. - **Generative AI in Drug Discovery**: Enhancing speed and accuracy in clinical trial design and patient engagement. - **Personalized Treatment Plans**: Generative AI is enhancing treatment effectiveness by utilizing patient data for tailored care. - **Generative AI Growth**: The generative AI market in healthcare is projected to grow from USD 1.7 billion in 2023 to USD 19.99 billion by 2032. - **AI-Driven Clinical Trial Optimization**: The integration of AI technologies aims to reduce administrative burdens and improve patient care by allowing researchers to focus on clinical tasks rather than paperwork. - **Real-Time AI Insights**: The use of real-time AI insights in clinical trials is expected to enhance decision-making and improve patient outcomes. - **Generative AI Market Growth**: Projected to grow from $800 million in 2022 to $17.2 billion by 2032, driven by the need for innovative healthcare solutions. - **AI-Enabled Clinical Documentation**: Mass General Brigham is leveraging generative AI to improve clinical documentation and patient communication, enhancing operational efficiency. - **Regulatory Guidance**: The FDA is focusing on premarket performance evaluation for generative AI-enabled medical devices. - **McKinsey Report**: Highlights the importance of adopting generative AI through a strategic framework focusing on low-risk applications and data-rich use cases. - **AI in Mental Health**: A clinical trial by Dartmouth demonstrated the effectiveness of a generative AI chatbot in improving mental health symptoms. - **Healthcare AI Adoption**: Nearly half of U.S. health systems are adopting generative AI, indicating a significant shift towards digital innovation in healthcare. - **Drug Discovery Acceleration**: Generative AI is expected to significantly reduce the time and cost of drug discovery by simulating molecular structures. - **Increased Focus on Data Privacy**: As generative AI is integrated into healthcare, there is a growing emphasis on ensuring data privacy and compliance with regulations like HIPAA. - **Synthetic Data Usage**: Increasingly adopted to address data quality and privacy challenges in AI training. - **AI-Driven Automation**: Expected to streamline administrative tasks and improve clinical decision-making in healthcare settings. ### Challenges and Concerns - **Clinician Trust**: Issues related to the reliability of generative AI outputs, emphasizing the importance of accuracy to prevent risks to patient safety. - **Data Privacy and Security**: Concerns regarding data privacy and algorithmic bias in the implementation of generative AI in healthcare. - **Data Privacy Concerns**: The integration of generative AI raises significant data privacy issues that healthcare organizations must address to maintain patient trust. - **Barriers to Adoption**: Challenges such as trust issues, skepticism among healthcare leaders, and data quality concerns hinder the widespread adoption of generative AI. - **Slow Adoption Rate**: Despite recognizing the benefits, only a small percentage of healthcare leaders have implemented generative AI. - **Governance Frameworks**: Establishing comprehensive governance frameworks for ethical AI use in clinical trials is essential but often challenging for organizations. - **Trust and Governance**: Health systems are struggling with governance and trust issues related to the adoption of generative AI. - **Data Security**: As AI technologies are integrated into clinical trials, ensuring data security and compliance with regulations remains a critical concern. - **Need for Standardization**: Experts emphasize the need for scientific standards and monitoring to ensure the responsible use of generative AI in healthcare. - **Operational Complexity**: The integration of generative AI into existing workflows may present challenges in managing operational complexities. - **Algorithmic Bias**: Risks of reinforcing healthcare disparities due to biases in AI models, necessitating diverse training datasets. - **Ethical Implementation**: Need for responsible AI frameworks to ensure patient safety and regulatory compliance. - **Transparency in AI Use**: Concerns regarding the transparency of AI-generated communications in healthcare settings may undermine trust between patients and providers. - **AI Bias**: Concerns that bias in AI systems could exacerbate healthcare disparities, highlighting the need for fairness and equity in AI solutions. - **Operational Inefficiencies**: Clinical trials face significant challenges such as high staff turnover and administrative burdens, which can delay patient enrollment and therapy delivery. - **Regulatory Uncertainty**: Challenges in navigating compliance with healthcare regulations like HIPAA while implementing AI solutions. - **Regulatory Compliance**: Healthcare organizations face challenges related to regulatory compliance and data integration, which are critical for successful AI implementation. - **Workforce Shortages**: Healthcare organizations face challenges in integrating AI due to a lack of skilled IT talent. ## Related Topics [[Generative AI in Healthcare]]; [[Generative AI in Drug Development]]; [[Generative AI in Drug Discovery]]; [[Generative AI in Diagnostics]]; [[Generative AI]]; [[Generative AI in Radiology]]; [[AI in Clinical Trials]]; [[Generative AI Applications]]; [[Generative AI Solutions]]