# Skepticism Towards AI * **Definition:** A critical attitude or doubt regarding the reliability, effectiveness, and ethical implications of artificial intelligence technologies in healthcare, often stemming from concerns about data privacy, algorithmic bias, lack of transparency, and the potential for adverse outcomes in patient care. * **Taxonomy:** Healthcare Topics / Skepticism Towards AI ## News * Selected news on the topic of **Skepticism Towards AI**, for healthcare technology leaders * 2.5K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 4/6/2025 | [**From AI optimism to outcomes: 3 things every CEO should know**](https://www.beckershospitalreview.com/ai/from-ai-optimism-to-outcomes-3-things-every-ceo-should-know/) | [[Beckers Hospital Review]] | | 3/14/2025 | [**Executive Insights: 4 Key Takeaways from HIMSS and ViVE 2025**](https://hitconsultant.net/2025/03/14/executive-insights-4-key-takeaways-from-himss-and-vive-2025/) | [[HIT Consultant]] | | 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]] | | 1/30/2025 | [**Public Consulting Group & Synergist Technology Partner to Deliver High-Quality AI ... - PR Newswire**](https://www.prnewswire.com/news-releases/public-consulting-group--synergist-technology-partner-to-deliver-high-quality-ai-compliance-security-and-governance-302364101.html) | [[PR Newswire]] | | 1/29/2025 | [**2024-2032 Generative AI in Healthcare Market Outlook: Size, Share & Revenue Analysis**](https://medium.com/@medinsightjourney/2024-2032-generative-ai-in-healthcare-market-outlook-size-share-revenue-analysis-70cb1b4dbe94) | [[Medium]] | | 1/28/2025 | [**Centific awarded AI Chatbot agreement with Premier, Inc.**](https://www.prnewswire.com/news-releases/centific-awarded-ai-chatbot-agreement-with-premier-inc-302362640.html) | [[PR Newswire]] | | 1/25/2025 | [**Environment scan of generative AI infrastructure for clinical and translational science**](https://www.nature.com/articles/s44401-024-00009-w) | [[Nature]] | | 1/21/2025 | [**How AI can move from hype to global solutions - World Economic Forum**](https://www.weforum.org/stories/2025/01/ai-transformation-industries-responsible-innovation/) | [[World Economic Forum]] | | 1/17/2025 | [**Takeda opens innovation centre in Bengaluru - Computer Weekly**](https://www.computerweekly.com/news/366618110/Takeda-opens-innovation-centre-in-Bengaluru) | [[Computer Weekly]] | | 1/15/2025 | [**More than Half of Americans Believe AI will Improve Healthcare Outcomes & Lower Costs, New Gwynedd Mercy University Survey Finds**](http://www.businesswire.com/news/home/20250115029465/en/More-than-Half-of-Americans-Believe-AI-will-Improve-Healthcare-Outcomes-Lower-Costs-New-Gwynedd-Mercy-University-Survey-Finds/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 1/15/2025 | [**More than Half of Americans Believe AI will Improve Healthcare Outcomes & Lower Costs ...**](https://www.businesswire.com/news/home/20250115029465/en/More-than-Half-of-Americans-Believe-AI-will-Improve-Healthcare-Outcomes-Lower-Costs-New-Gwynedd-Mercy-University-Survey-Finds) | [[Business Wire]] | | 1/14/2025 | [**HHS' new AI strategic plan promises increased guidance, funding - Fierce Healthcare**](https://www.fiercehealthcare.com/regulatory/hhs-new-ai-strategic-plan-promises-increased-guidance-and-funding) | [[FierceHealthcare]] | | 1/12/2025 | [**Hyperautomation in Healthcare: Transforming IT with Benefits and Risks**](https://hitconsultant.net/2025/01/13/hyperautomation-in-healthcare-transforming-it-with-benefits-and-risks/) | [[HIT Consultant]] | | 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]] | | 1/6/2025 | [**FDA Issues New Recommendations for Use of Artificial Intelligence to Support Regulatory Actions**](https://www.pharmexec.com/view/fda-issues-new-recommendations-artificial-intelligence-support-regulatory-actions) | [[PharmExec]] | | 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]] | | 12/14/2024 | [**The Future of Production: Scaling Innovation with Hybrid Computing, AI, and Automation**](https://www.cioreview.com/news/the-future-of-production-scaling-innovation-with-hybrid-computing-ai-and-automation-nid-40640-cid-175.html) | [[CIO Review]] | | 11/22/2024 | [**Health Boards Of Directors Must Drive AI Governance And Accountability - Forbes**](https://www.forbes.com/councils/forbestechcouncil/2024/11/22/health-boards-of-directors-must-drive-ai-governance-and-accountability/) | [[Forbes]] | | 10/7/2024 | [**Kipu Health Collaborates with AWS to Bring Cutting-Edge Generative AI to Behavioral Health Industry**](https://www.prnewswire.com/news-releases/kipu-health-collaborates-with-aws-to-bring-cutting-edge-generative-ai-to-behavioral-health-industry-302268383.html) | [[PR Newswire]] | | 10/7/2024 | [**Kipu Health, AWS Partner to Bring AI-Powered Solutions to Behavioral Health**](https://hitconsultant.net/2024/10/07/kipu-health-aws-partner-to-bring-ai-powered-solutions-to-behavioral-health/) | [[HIT Consultant]] | | 9/30/2024 | [**New center established to bridge AI technology and healthcare applications**](https://www.news-medical.net/news/20240930/New-center-established-to-bridge-AI-technology-and-healthcare-applications.aspx) | [[News Medical Net]] | | 9/25/2024 | [**How AI is shaping the future of medicine - Fast Company**](https://www.fastcompany.com/91196757/how-ai-is-shaping-the-future-of-medicine) | [[Fast Company]] | | 9/19/2024 | [**The 'long-term vision' of AI at Mass General Brigham - Becker's Hospital Review**](https://www.beckershospitalreview.com/innovation/the-long-term-vision-of-ai-at-mass-general-brigham.html) | [[Beckers Hospital Review]] | | 9/3/2024 | [**QingSong Health Chairman Speaks at Global Ethics Forum in Geneva - PR Newswire**](https://www.prnewswire.com/news-releases/qingsong-health-chairman-speaks-at-global-ethics-forum-in-geneva-advancing-ethical-leadership-in-healthcare-302236513.html) | [[PR Newswire]] | | 8/6/2024 | [**The AI debate: 6 ASC leaders weigh in**](https://www.beckersasc.com/asc-news/the-ai-debate-6-asc-leaders-weigh-in.html) | [[Beckers ASC Review]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **FDA**: Regulatory body providing guidance on AI use in drug safety and efficacy, emphasizing the need for credibility in AI models. - **ECRI**: An organization emphasizing the need for transparency and validation in AI applications in healthcare. - **Providence**: A health system implementing AI governance strategies to ensure patient safety and ethical AI use. - **Gartner**: A research and advisory company providing insights on AI project failures and trends in AI adoption. - **Hippocratic AI**: Aims to enhance nurses' influence in healthcare technology through partnerships and the development of AI-driven solutions. - **American Nurses Association**: An organization emphasizing the importance of AI systems complementing the knowledge and skills of nurses. - **IBS Software**: Launched a Data & AI Center of Excellence to promote responsible AI adoption in various sectors, including healthcare. - **Amazon Web Services (AWS)**: Provides AI services that Kipu Health utilizes to create ethical AI solutions aimed at enhancing healthcare efficiency. - **Gwynedd Mercy University**: Focuses on ethical AI use in healthcare education and training. - **Philips**: Focuses on human-centered AI development to improve healthcare outcomes and decision-making. - **HHS**: The Department of Health and Human Services, which has released a strategic plan on AI in healthcare. - **Traliant**: A company providing compliance training focused on AI ethics and HIPAA regulations. - **Deloitte**: Utilizes Nvidia's technology to create digital avatars for patient assistance through its Frontline AI Teammate platform. - **CareMessage**: A company developing AI tools to improve patient communication and health equity. - **Capgemini**: A consulting firm addressing regulatory challenges in AI for the life sciences sector. - **Nanyang Technological University (NTU) Singapore**: A leading educational institution collaborating with the National Healthcare Group to advance AI in medicine. - **Centific**: Offers AI chatbots and scribes to reduce administrative burdens on healthcare providers, enhancing patient outcomes. - **Microsoft**: A technology company launching AI-driven innovations in healthcare to enhance clinical insights. - **QuantHealth**: A company focused on advancing AI-powered drug development platforms and enhancing security measures. ### Partnerships and Collaborations - **ALIGNMT AI and HFMA**: Launching a micro-credentialing program to enhance AI governance skills among healthcare professionals. - **Public Consulting Group and Synergist Technology**: Strategic partnership to enhance AI governance and compliance across industries. - **NTT Data and Amelia**: Partnership aimed at enhancing patient engagement through AI solutions. - **HHS and Coalition for Health AI (CHAI)**: A partnership to establish a nationwide network of quality assurance labs for AI. - **NTU Singapore and NHG**: Launched the Centre of AI in Medicine (C-AIM) to integrate AI technologies into healthcare. - **Hippocratic AI and Nurses on Boards Coalition**: Partnership to empower nurses in healthcare technology decision-making. - **Cognizant and Google Cloud**: Collaboration to improve administrative efficiency in healthcare using AI. - **Capgemini and clients**: Creating a platform to comply with European AI legislation in the life sciences. - **Kipu Health and Amazon Web Services (AWS)**: Partnering to create AI tools for improving clinical workflows in behavioral health. - **Microsoft and Mass General Brigham**: Developing multimodal AI foundation models for improved radiology. - **Kipu Health and AWS**: Strategic collaboration to develop AI solutions for the behavioral health industry, focusing on streamlining clinical workflows. - **Humana and Google Cloud**: Agreement to develop generative AI solutions for improving healthcare accessibility and operations. - **HEALWELL and Mutuo Health Solutions**: An acquisition to enhance AI-driven healthcare technologies. - **Viz.ai and Microsoft**: A collaboration to integrate diagnostic imaging AI models into clinical workflows. - **Microsoft and Providence**: Collaborating to develop multimodal medical imaging models to enhance healthcare data analysis. - **Centific and Premier, Inc.**: A partnership enabling Premier members to access special pricing for AI chatbots and scribes. - **GE HealthCare and Sutter Health**: A seven-year strategic partnership to improve patient care coordination and access to imaging services. ### Innovations, Trends, and Initiatives - **AI in Nursing Informatics**: AI is expected to enhance patient outcomes and operational efficiency, but it raises ethical and practical concerns. - **AI in Education**: Growing support for integrating AI in training healthcare professionals to enhance skills and knowledge. - **Responsible AI Framework**: Implemented by Unilever to address data and AI ethics, promoting trustworthy AI systems. - **AI Governance Frameworks**: Increasing emphasis on establishing robust governance frameworks to ensure ethical AI deployment and compliance with regulations. - **Trustworthy AI Network (TRAIN)**: An initiative promoting responsible AI use across multiple health systems. - **Responsible AI Adoption**: Organizations are increasingly focusing on ethical AI practices, data governance, and compliance with regulations. - **European AI Act**: Introducing new requirements for AI safety and innovation in healthcare. - **AI Governance Market Growth**: Projected significant growth driven by regulatory compliance and ethical AI practices. - **EU AI Act**: A regulatory framework categorizing AI systems by risk level, impacting compliance and innovation in AI technologies. - **Generative AI Applications**: Examples include tools for interpreting lab results and identifying genetic links to conditions, showcasing AI's potential. - **Generative AI**: Rapidly transforming healthcare by automating tasks and enhancing decision-making, but requires effective governance to mitigate risks. - **Centre of AI in Medicine (C-AIM)**: Focuses on mental health, elderly frailty, medical imaging, and cancer screening through AI research. - **Trustworthy Responsible AI Network (TRAIN)**: Established to promote responsible AI practices in healthcare, focusing on underserved communities. - **AI in Healthcare**: AI is being integrated into healthcare to improve patient outcomes, streamline operations, and address staff shortages. - **AI-Driven Solutions**: Innovations such as AI chatbots and scribes are being developed to alleviate administrative burdens and enhance patient care. - **Generative AI in Healthcare**: Utilized for creating synthetic datasets and improving imaging diagnostics. - **Hyperautomation**: Integrates AI and robotic process automation to streamline healthcare workflows and improve operational efficiency. ### Challenges and Concerns - **Cultural Hesitations**: Barriers to AI adoption due to skepticism about its reliability and ethical implications. - **Skepticism Towards AI Implementation**: Nurses express concerns about AI's implementation, highlighting the need for education and knowledge regarding AI tools. - **Data Privacy and Security**: Concerns regarding the ethical implications and potential biases in AI algorithms. - **Lack of Human Oversight**: A significant concern among the public, with 58% worried about insufficient human involvement in AI applications. - **Burnout and Staffing Shortages**: Nurses face burnout and staffing shortages, leading to skepticism about AI's ability to alleviate these pressures. - **Trust in AI**: Building trust necessitates transparency, accountability, and explainability in AI decision-making. - **Ethical Considerations**: The integration of AI raises ethical concerns that must be managed to ensure effective use in clinical settings. - **Model Transparency**: The need for clear understanding and communication of AI outputs to ensure trust among healthcare providers and patients. - **Bias and Inequity**: AI systems may perpetuate data bias, leading to inequitable care and necessitating rigorous testing and compliance. - **Bias in AI Models**: The risk of AI systems perpetuating existing health disparities due to biased training data. - **Need for AI Education**: 85% of physicians believe AI integration requires significant reforms in medical education. - **High Failure Rate of AI Projects**: Gartner reports that 85% of AI projects fail due to unclear objectives and inadequate frameworks. - **Regulatory Compliance**: Organizations face challenges in ensuring their AI systems comply with evolving regulations and ethical standards. - **Integration with Legacy Systems**: Challenges faced by healthcare organizations in adopting AI technologies due to outdated infrastructure. - **Governance and Accountability**: Boards of directors are urged to adopt active accountability in AI governance to ensure safety, transparency, and ethical practices. - **Data Security and Privacy**: Concerns regarding data misuse and algorithmic bias, necessitating strong governance and compliance measures. ## Related Topics [[Trust in AI]]; [[Ethical Concerns with AI]]; [[Resistance to AI Adoption]]; [[Ethical AI]]; [[Ethical Concerns in AI]]; [[Ethical Use of AI]]; [[Ethical Considerations in AI]]; [[Ethical Implications of AI]]