# Generative AI Adoption * **Definition:** The integration and utilization of generative artificial intelligence technologies in healthcare settings to enhance clinical decision-making, improve patient outcomes, streamline administrative processes, and facilitate personalized medicine through the generation of new data, insights, and predictive models. * **Taxonomy:** Healthcare Topics / Generative AI Adoption ## News * Selected news on the topic of **Generative AI Adoption**, for healthcare technology leaders * 20.2K 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]] | | 5/19/2025 | [**Health system CIOs step into a new era - Becker's Hospital Review - Healthcare News & Analysis**](https://www.beckershospitalreview.com/healthcare-information-technology/health-system-cios-step-into-a-new-era/) | [[Beckers Hospital Review]] | | 5/19/2025 | [**Cycle Time is the New Currency of Drug Development**](https://hitconsultant.net/2025/05/20/cycle-time-is-the-new-currency-of-drug-development/) | [[HIT Consultant]] | | 5/8/2025 | [**Early days for small language models and AI at the edge - Computer Weekly**](https://www.computerweekly.com/feature/Early-days-for-small-language-models-and-AI-at-the-edge) | [[Computer Weekly]] | | 4/10/2025 | [**Google Cloud healthcare agentic AI and AI transformation solutions - PwC**](https://www.pwc.com/us/en/technology/alliances/google-cloud/healthcare-ai-agents-solutions.html) | [[PWC]] | | 4/10/2025 | [**Google Cloud, Juniper Networks accelerate enterprise campus deployment**](https://www.computerweekly.com/news/366622340/Google-Cloud-Juniper-Networks-accelerate-enterprise-campus-deployment) | [[Computer Weekly]] | | 4/7/2025 | [**AI being used more often at point of care, KLAS research shows - Healthcare IT News**](https://www.healthcareitnews.com/news/ai-being-used-more-often-point-care-klas-research-shows) | [[Healthcare IT News]] | | 3/4/2025 | [**What's coming to Epic**](https://www.beckershospitalreview.com/ehrs/whats-coming-to-epic.html) | [[Beckers Hospital Review]] | | 2/21/2025 | [**Roundup: AI and cloud tackle cyber risk and improve workflows - Healthcare IT News**](https://www.healthcareitnews.com/news/roundup-ai-and-cloud-tackle-cyber-risk-and-improve-workflows) | [[Healthcare IT News]] | | 2/14/2025 | [**Engineering a Healthcare Analytics Center of Excellence (ACoE): A Strategic Framework for ...**](https://blogs.perficient.com/2025/02/14/engineering-a-healthcare-analytics-center-of-excellence-acoe-a-strategic-framework-for-innovation/) | [[Perficient Healthcare]] | | 2/12/2025 | [**AI Health Assistant Development: Revolutionizing Patient Care and Healthcare Efficiency**](https://medium.com/@apoorv-gehlot/ai-health-assistant-development-revolutionizing-patient-care-and-healthcare-efficiency-59cce677021a) | [[Medium]] | | 2/10/2025 | [**Launching the Trustworthy and Responsible AI Network (TRAIN) A Consortium to Facilitate ...**](https://jamanetwork.com/journals/jama/articlepdf/2830340/jama_emb_2025_vp_250019_1738942291.693.pdf) | [[JAMA Network]] | | 1/24/2025 | [**Zacks Industry Outlook Enovis, Omnicell and Phreesia - Nasdaq**](https://www.nasdaq.com/articles/zacks-industry-outlook-enovis-omnicell-and-phreesia) | [[Nasdaq]] | | 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]] | | 1/9/2025 | [**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 | [**Top tech trends powering the Middle East's digital evolution by 2025 - CIO**](https://www.cio.com/article/3632028/top-tech-trends-powering-the-middle-easts-digital-evolution-by-2025.html) | [[CIO]] | | 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]] | | 12/12/2024 | [**Partnering on EHR design for better care, easy migration: Insights and successes from University of Missouri Health Care**](https://www.beckershospitalreview.com/hospital-physician-relationships/partnering-on-ehr-design-for-better-care-easy-migration-insights-and-successes-from-university-of-missouri-health-care.html) | [[Beckers Hospital Review]] | | 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]] | | 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 - **Trigent Software**: Launched advanced Generative AI services aimed at transforming enterprise operations in healthcare. - **Ryght AI**: Provider of advanced generative AI solutions aimed at automating clinical trial processes and improving efficiency in clinical research. - **Epic**: A healthcare software company launching new generative AI technologies to improve clinical care and streamline operations. - **Mass General Brigham**: A healthcare organization partnering with Microsoft to leverage generative AI in radiology. - **Ensemble**: A revenue cycle managed services company that utilizes generative AI to improve revenue cycle performance. - **Michael Johnson**: Chief Strategy Officer at Traliant, focuses on compliance and ethical use of Generative AI in healthcare. - **Hyro**: A company specializing in conversational and generative AI solutions for healthcare, recently raising funding to expand its technology. - **Amazon Web Services (AWS)**: Collaborating with General Catalyst to develop AI-powered healthcare solutions for personalized care and operational efficiency. - **Insilico Medicine**: Announced positive results from a Phase IIa trial of a generative AI-developed drug for treating pulmonary fibrosis. - **Cognizant**: Launching AI solutions to optimize administrative functions and enhance quality care in healthcare settings. - **Google Cloud**: A cloud computing service provider partnering with various organizations to enhance AI capabilities in healthcare. - **Qualified Health**: A startup providing infrastructure for implementing and governing AI solutions in healthcare, ensuring compliance and performance monitoring. - **Felix Bradbury**: Senior GenAI Solutions architect with over 30 years of experience, specializing in developing GenAI-driven solutions for operational efficiency and patient outcomes. - **Northwestern Medicine**: Developed FHIR-GPT, an AI model to enhance health data interoperability. - **Deloitte**: Utilizes Nvidia's technology to create digital avatars that assist patients, enhancing patient engagement and operational efficiency. - **NTT Data**: A global system integrator that has developed healthcare-specific AI solutions, focusing on patient engagement and process automation. - **NYU Langone Health**: An institution leading efforts to integrate AI into healthcare, focusing on improving patient care and operational efficiency. ### Partnerships and Collaborations - **Philips and AWS**: Expanding collaboration to offer cloud-enabled diagnostics and integrate generative AI capabilities. - **AWS and General Catalyst**: Developing AI-powered solutions to enhance predictive healthcare, interoperability, and operational efficiency. - **NYU Langone Health**: Establishing a new IT department focused on health informatics to leverage Generative AI. - **Netsmart and Apricot**: Partnering to streamline documentation processes in home care and hospice agencies using Generative AI. - **Microsoft and Mass General Brigham**: Collaborating to enhance AI in medical imaging and address challenges like physician burnout. - **Freshfields and Google Cloud**: Implementing AI-driven digital transformation to enhance operational efficiency. - **Hyro and Healthier Capital**: Funding to enhance conversational AI solutions in healthcare. - **Cognizant and Google Cloud**: Collaboration to streamline administrative tasks in healthcare using AI technologies. - **Deloitte and Nvidia**: Partnership to develop digital avatars for patient assistance, improving engagement and operational efficiency. - **HealthEdge and Codoxo**: Collaborated to enhance payment integrity processes for healthcare payers using GenAI. - **MetaPhy Health and ActiumHealth**: Enhancing patient engagement through AI-powered voice agents to improve nurse-patient interactions. - **NTT Data and Amelia**: Partnership aimed at enhancing patient engagement through AI-driven solutions. - **NYU Langone Health and AI Companies**: Partnering to integrate AI tools for improving patient care and education. - **Meditech and AWS**: Partnership to create AI-enabled workflows for better diagnostic accuracy and equitable healthcare access. - **Google Cloud and Juniper Networks**: Partnering to enhance enterprise campus deployments and user experiences in the AI era. - **Sheba Medical Center and Paradigm Health**: Collaborating to create a global network for enhancing clinical research and patient-centered clinical trials using AI. - **Maverick Medical AI, NewVue.ai, and RADPAIR**: Formed a strategic partnership to enhance radiology workflows and revenue cycle management. - **Keck School of Medicine and Ryght Research Network**: Aims to enhance clinical trial efficiency through AI technology, streamlining communication and accelerating trial timelines. - **QPS Holdings and Ryght AI**: Collaboration to optimize and automate clinical trials globally, integrating QPS's research sites into the Ryght Research Network. - **Memorial Sloan Kettering Cancer Center and AWS**: Creating a comprehensive longitudinal data resource to drive cancer research and personalize treatment. ### Innovations, Trends, and Initiatives - **Generative AI Adoption**: Nearly half of U.S. health systems are adopting generative AI, indicating a significant shift in the healthcare industry. - **Generative AI in Healthcare Market Growth**: Projected to grow from USD 1.07 billion in 2023 to USD 19.99 billion by 2032, driven by advancements in AI applications. - **Generative AI for Personalized Medicine**: Improves treatment plans and operational efficiency, projected to grow significantly in the healthcare market. - **Generative AI in Clinical Trials**: Emerging as a tool to enhance operational efficiency and decision-making in clinical trials. - **Generative AI in Telemedicine**: Expected to enhance patient engagement and streamline administrative tasks, with 85% of healthcare leaders investing in this technology. - **Generative AI in Drug Discovery**: Accelerates research and development timelines, reducing costs and time to market for new medications. - **Generative AI in Diagnostics**: Transforming healthcare by improving diagnostics and enabling personalized risk assessments. - **Personalized Care Solutions**: Generative AI is utilized to create tailored treatment plans, significantly improving patient outcomes. - **Healthtech Innovation Hub**: A platform for showcasing advancements in health technology, including generative AI. - **WellSky's 2024 Evolution of Care report**: Highlights the role of Generative AI in enhancing caregiving and improving data-driven decision-making. - **FDA's Digital Health Advisory Committee**: Formed to discuss the implications of Generative AI in medical devices and ensure safety and effectiveness. - **Ambient AI**: Gaining traction for generating notes from patient interactions to alleviate provider burnout. - **Revenue Cycle Management Optimization**: Generative AI automates prior authorizations and claims processing, maximizing reimbursement for healthcare providers. - **Trustworthy and Responsible AI Network (TRAIN)**: A consortium aimed at promoting safe and effective AI adoption in various sectors, including healthcare. - **AI in Clinical Trials**: Utilizing AI to automate key trial processes, improving site selection and patient referrals. - **AI health assistants**: Utilizing machine learning and natural language processing to automate workflows and improve patient engagement. - **AI-Powered Tools**: Meditech developing intuitive tools leveraging AI for decision-making and documentation to streamline workflows. - **AI in Clinical Decision-Making**: Integrates multimodal data to create adaptive clinical pathways, enhancing care delivery and patient safety. - **AI in Clinical Workflows**: AI is increasingly being integrated into clinical decision support and imaging analysis, with a focus on improving patient outcomes. ### Challenges and Concerns - **Slow Adoption Rates**: Despite recognizing the benefits of generative AI, many healthcare leaders have yet to implement these technologies, reflecting cautious adoption. - **Clinician Trust**: The need to build trust among clinicians for the effective use of generative AI. - **Governance and Compliance**: Healthcare leaders are encouraged to adopt generative AI with a focus on low-risk applications and robust governance frameworks. - **Integration Complexity**: Challenges in integrating generative AI into existing hospital information systems. - **Integration Barriers**: Challenges in integrating generative AI with existing electronic health record systems and a lack of in-house expertise. - **Staff Resistance**: Resistance from decision-makers regarding the value of AI transformations poses a challenge to adoption. - **Data Privacy and Security**: Concerns regarding data privacy and integration issues complicate the effective implementation of AI solutions. - **Regulatory Compliance**: Evolving regulations on data privacy and security in hybrid cloud environments pose challenges for AI adoption. - **Skepticism Among Healthcare Workers**: Despite the potential benefits, many healthcare professionals express reluctance towards AI adoption due to concerns about job displacement. - **Cybersecurity Threats**: As AI tools become more accessible, there is a growing concern about their potential misuse in cybercrime. - **Regulatory Challenges**: The FDA is working to balance innovation and patient safety in AI technologies, particularly concerning large language models. - **Data Security**: Concerns regarding the protection of sensitive patient information in AI applications. - **Data Bias and Health Disparities**: Ongoing concerns regarding the ethical implications of AI, particularly in ensuring equitable healthcare access. - **Algorithmic Bias**: The risk of AI models reinforcing existing healthcare disparities and complicating trust and accountability. - **AI Bias**: Concerns about bias in AI systems that could exacerbate healthcare disparities. - **Integration into Existing Workflows**: The need for seamless integration of AI into current healthcare practices to enhance efficiency and reduce administrative burdens. - **Interoperability Issues**: Lack of uniform standards for medical data and algorithms hinders the effective integration of AI tools in healthcare. ## Related Topics [[Generative AI Applications]]; [[Generative AI Integration]]; [[Generative AI]]; [[Generative AI Solutions]]; [[Generative AI Tools]]; [[Generative AI in Healthcare]]; [[Generative AI in Clinical Trials]]; [[Generative AI in Drug Development]]; [[Generative AI in Diagnostics]]