# AI Risks * **Definition:** AI Risks in healthcare refer to potential negative consequences arising from the use of artificial intelligence technologies in medical settings, including issues related to patient safety, data privacy, algorithmic bias, misdiagnosis, and the ethical implications of automated decision-making. * **Taxonomy:** Healthcare Topics / AI Risks ## News * Selected news on the topic of **AI Risks**, for healthcare technology leaders * 7.2K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 3/12/2025 | [**Fractional AI Introduces Generative AI Diligence Service To Unlock Smarter Private Equity Deals**](https://finance.yahoo.com/news/fractional-ai-introduces-generative-ai-130000886.html) | [[Yahoo Finance]] | | 2/26/2025 | [**LBMC Unveils Key Healthcare Trends for 2025: AI, M&A, Cybersecurity, and Policy Shifts ...**](https://finance.yahoo.com/news/lbmc-unveils-key-healthcare-trends-192100608.html) | [[Yahoo Finance]] | | 2/21/2025 | [**The urgency of centering safety-net organizations in AI governance - npj Digital Medicine**](https://www.nature.com/articles/s41746-025-01479-4) | [[Nature]] | | 1/30/2025 | [**Lone Star Family Health Center Selects athenahealth to Enable Superior Health Outcomes and a Consumer-Grade Patient Experience**](http://www.businesswire.com/news/home/20250130308726/en/Lone-Star-Family-Health-Center-Selects-athenahealth-to-Enable-Superior-Health-Outcomes-and-a-Consumer-Grade-Patient-Experience/?feedref=JjAwJuNHiystnCoBq_hl-Q-tiwWZwkcswR1UZtV7eGe24xL9TZOyQUMS3J72mJlQ7fxFuNFTHSunhvli30RlBNXya2izy9YOgHlBiZQk2LOzmn6JePCpHPCiYGaEx4DL1Rq8pNwkf3AarimpDzQGuQ==) | [[Business Wire]] | | 1/29/2025 | [**Core Mobile, Inc. and InfoVision Announce Strategic Partnership to Transform AI-Native ...**](https://finance.yahoo.com/news/core-mobile-inc-infovision-announce-155600011.html) | [[Yahoo Finance]] | | 1/25/2025 | [**Environment scan of generative AI infrastructure for clinical and translational science**](https://www.nature.com/articles/s44401-024-00009-w) | [[Nature]] | | 1/16/2025 | [**Healthcare IT Integration Market Size to Hit USD 12.97 Billion by 2032, Growing at a 12.69AGR**](https://finance.yahoo.com/news/healthcare-integration-market-size-hit-141200374.html) | [[Yahoo Finance]] | | 1/15/2025 | [**New model analyzes CT scans to identify high-risk individuals - News-Medical**](https://www.news-medical.net/news/20250115/New-model-analyzes-CT-scans-to-identify-high-risk-individuals.aspx) | [[News Medical Net]] | | 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]] | | 1/13/2025 | [**Amazon Web Services, General Catalyst Announce Collaboration - Healthcare Innovation**](https://www.hcinnovationgroup.com/interoperability-hie/cloud-computing-storage/news/55260611/amazon-web-services-general-catalyst-announce-collaboration) | [[Healthcare Innovation]] | | 1/10/2025 | [**AI in health care: Tampa Bay leaders share insights, concerns - The Business Journals**](https://www.bizjournals.com/tampabay/news/2025/01/10/tampa-bay-health-care-leaders-share-ai-insights.html) | [[The Business Journals]] | | 12/31/2024 | [**AI in Healthcare: Accountability a Key Focus in 2025 - MedPage Today**](https://www.medpagetoday.com/special-reports/features/113596) | [[Medpage Today]] | | 12/18/2024 | [**Healthcare AI News 12/18/24**](https://histalk2.com/2024/12/18/healthcare-ai-news-12-18-24/) | [[HISTalk]] | | 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]] | | 12/4/2024 | [**AI Tops ECRI's Top 10 Health Technology Hazards for 2025**](https://hitconsultant.net/2024/12/04/ai-tops-ecris-top-10-health-technology-hazards-for-2025/) | [[HIT Consultant]] | | 12/3/2024 | [**Health IT Hires, Appointments, and Who's Hiring**](https://www.healthitanswers.net/health-it-hires-appointments-and-whos-hiring-120324/) | [[Health IT Answers]] | | 11/26/2024 | [**Mount Sinai Center to Combine AI, Data Science, Genomics - Healthcare Innovation**](https://www.hcinnovationgroup.com/analytics-ai/artifical-intelligence-machine-learning/news/55246083/mount-sinai-center-to-combine-ai-data-science-genomics) | [[Healthcare Innovation]] | | 11/22/2024 | [**IT Professional Services Market to Expand by USD 621.4 Billion (2024-2028), Driven by ...**](https://www.prnewswire.com/news-releases/it-professional-services-market-to-expand-by-usd-621-4-billion-2024-2028-driven-by-growing-digital-transformation-market-evolution-powered-by-ai---technavio-302313562.html) | [[PR Newswire]] | | 11/14/2024 | [**How 21st Century CISOs Balance AI Risks Against Rewards - PYMNTS.com**](https://www.pymnts.com/news/artificial-intelligence/2024/how-21st-century-chief-information-security-officers-balance-ai-risks-against-rewards/) | [[PYMTScom]] | | 11/7/2024 | [**CHIME24: Setting the Record Straight on Generative AI**](https://healthtechmagazine.net/article/2024/11/chime24-setting-record-straight-generative-ai) | [[HealthTech Magazine]] | | 11/7/2024 | [**Healthcare Compliance Professionals Grapple with Mounting Risks and Limited Resources**](https://hitconsultant.net/2024/11/08/healthcare-compliance-professionals-grapple-with-mounting-risks/) | [[HIT Consultant]] | | 10/10/2024 | [**Suki Raises $70M to Advance AI-Powered Solutions for Healthcare**](https://hitconsultant.net/2024/10/10/suki-raises-70m-to-advance-ai-powered-solutions-for-healthcare/) | [[HIT Consultant]] | | 7/11/2024 | [**Seven Important Actions to Manage Cyber Risk While Benefiting from AI**](https://www.healthitanswers.net/seven-important-actions-to-manage-cyber-risk-while-benefiting-from-ai/) | [[Health IT Answers]] | | 7/8/2024 | [**Data-Driven Devices: Powering Healthcare's Digital Revolution**](https://www.forbes.com/sites/forbesbusinessdevelopmentcouncil/2024/07/09/data-driven-devices-powering-healthcares-digital-revolution/) | [[Forbes]] | | 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 - **ECRI**: An organization that identifies healthcare technology hazards, including risks associated with AI. - **IBM**: Conducted a study revealing the importance of responsible AI practices in strategic decision-making. - **Prove AI**: Released a report on AI governance's role in mitigating risks associated with AI adoption. - **DECRI**: A non-profit organization focused on healthcare safety, which published a report highlighting AI risks in healthcare. - **Riskonnect**: Published a report indicating cybersecurity as a primary risk driver for organizations. - **Providence**: A healthcare system implementing a comprehensive AI governance strategy to ensure patient safety and data security. - **OpenAI**: Collaborated with the AI Safety Institute for safety research and is involved in significant AI infrastructure investments. - **Amazon**: A major tech player advocating for global alignment on responsible AI measures, emphasizing transparency and ethical guidelines. - **Privacera**: A leader in data governance and security solutions, focusing on AI risk management and compliance. - **Dr. Jay Anders**: Expert from Medicomp Systems, addressing the lack of real patient data training in FDA-approved AI devices. - **Brian Anderson**: CEO of the Coalition for Health AI, promoting collaboration for responsible AI practices. - **DeepSeek**: A Chinese AI company that released an open-source reasoning model, R1, which has sparked competition in the AI market. - **National Institute of Standards and Technology (NIST)**: Directed to establish an AI Safety Institute for regulatory guidance. - **Department of Health and Human Services (HHS)**: Tasked with monitoring unsafe AI practices and enhancing healthcare delivery through AI. - **Eric Smith**: Chief Digital Officer at Artera, emphasizing AI governance for transparency and safety. - **Bipartisan House Task Force**: A legislative group focused on establishing guidelines and recommendations for responsible AI use in healthcare. - **Infinx**: A company specializing in AI-driven solutions for optimizing healthcare revenue cycle management. - **Amazon Web Services (AWS)**: A cloud computing platform that partners with General Catalyst to develop AI-powered healthcare solutions. - **Philips**: Published the Future Health Index 2024 report highlighting staffing shortages and the potential of AI in healthcare. ### Partnerships and Collaborations - **AI Safety Institute**: Collaborated with companies like Anthropic and OpenAI for safety research. - **OpenAI and Anthropic**: Collaborated with the AI Safety Institute for safety testing of AI technologies. - **e& and IBM**: Partnering to implement a comprehensive AI governance solution to enhance compliance and ethical practices. - **Public Consulting Group and Synergist Technology**: Strategic partnership to enhance AI governance, security, and compliance solutions. - **AWS and General Catalyst**: Partnering to develop AI solutions for predictive and personalized healthcare. - **Healthcare Financial Management Association (HFMA)**: Partnering with ALIGNMT AI to launch a micro-credentialing program aimed at enhancing AI governance skills among healthcare professionals. - **Kipu Health and AWS**: Working together to create AI solutions that improve efficiency in the behavioral health sector. - **Google Cloud and Hackensack Meridian Health**: Collaborating to develop generative AI tools to streamline administrative tasks in healthcare. - **Suki and EHR vendors**: Integrating AI capabilities into existing EHR systems to improve user experience and patient care. - **Eli Lilly and Genetic Leap**: Partnered to develop genetic medicine therapeutics using RNA-targeted AI technology. - **University of Texas at Austin**: Collaborating with the Administration for Strategic Preparedness and Response to evaluate public health organizations' readiness for cyber threats. - **Core Mobile and InfoVision**: Collaborating to enhance healthcare operations through AI technology solutions. - **Medidata and ICON plc**: ICON will utilize Medidata's Clinical Data Studio to enhance decision-making and risk assessment in clinical trials. - **Clinical Architecture and 4medica**: Partnering to enhance data quality and interoperability in healthcare. - **Nvidia with Mayo Clinic and Illumina**: Leveraging AI technology for drug discovery and genomic research. - **Washington University and BJC Health System**: Jointly established a Center for Health AI to enhance healthcare efficiency. ### Innovations, Trends, and Initiatives - **AI Governance Frameworks**: Organizations are increasingly recognizing the need for dedicated AI governance frameworks to manage risks effectively. - **AI in Healthcare**: AI is being integrated into various healthcare areas, including diagnostics and appointment scheduling, but poses risks if not managed properly. - **AI Safety Institute**: Aims to provide regulatory guidance and ensure safe AI practices in healthcare. - **AI Governance Framework**: Developed by Harvard Medical School and Mass General Brigham to guide the responsible implementation of AI in healthcare. - **AI-Driven Predictive Models**: Research initiatives aimed at predicting health risks, such as heart failure, using AI to analyze patient data. - **AI in Revenue Cycle Management**: Innovations aimed at optimizing financial processes in healthcare through AI technologies. - **AI Service Cards**: Introduced by Amazon to inform customers about AI limitations and best practices. - **European AI Act**: Introduces new requirements for AI safety and encourages innovation in managing AI risks. - **NIST AI Risk Management Framework**: Privacera's updates to its AI Governance platform align with this framework to enhance risk management. - **HHS Artificial Intelligence Strategic Plan**: Aims to enhance quality and safety in health services through responsible AI use. - **National AI Roadmap in the Philippines**: Focuses on responsible AI practices and aims to standardize AI governance in Southeast Asia. - **Future Health Index 2024**: Highlights the need for AI integration in healthcare to address staffing shortages. - **Trustworthy Responsible AI Network (TRAIN)**: Established to promote responsible AI practices in healthcare, focusing on underserved communities. - **Digital Health Innovation Hub**: Eli Lilly's initiative to enhance AI-powered digital health technologies. - **California Assembly Bill 3030**: Regulates the use of generative AI in healthcare to enhance patient transparency and mitigate risks in clinical communications. - **Clinical Decision Support Systems**: AI systems that personalize patient care by analyzing individual data against medical literature. - **Generative AI in Healthcare**: Emerging trend where AI tools are used for clinical documentation, drug development, and improving patient outcomes. - **Large Language Models (LLMs)**: Emerging as tools for addressing cybersecurity challenges and enhancing healthcare operations. - **Telehealth and Remote Monitoring**: Innovations in telehealth and remote patient monitoring have improved patient experiences and clinical outcomes. ### Challenges and Concerns - **Cybersecurity Risks**: 80% of companies lack a dedicated plan to manage generative AI risks, with rising threats from AI-powered attacks. - **Patient Safety Risks**: Potential for AI technologies to produce false results and patient harm if not properly validated and monitored. - **AI Bias and Misleading Results**: AI systems can produce biased outcomes, particularly affecting underrepresented communities, necessitating careful evaluation. - **Bias in AI Decision-Making**: Risks associated with biased algorithms that can lead to unequal treatment outcomes in healthcare. - **Algorithm Biases**: Concerns regarding biases in AI algorithms that could lead to ethical dilemmas and patient harm. - **Data Integrity and Security**: Concerns regarding data integrity and security are primary deterrents to adopting new AI solutions. - **Bias and Trust Issues**: Concerns regarding AI bias and the need for clinician trust in AI applications. - **Cybersecurity Threats**: Increased risks associated with AI adoption in healthcare, necessitating enhanced cybersecurity measures. - **Data Privacy and Security**: Healthcare organizations face challenges in securing sensitive data related to AI tools. - **Data Bias and Inequity**: Concerns regarding data bias leading to inequitable care and the need for rigorous testing of AI systems. - **Data Privacy and Cybersecurity**: Concerns regarding the extensive patient data required by AI tools, necessitating robust privacy policies. - **Regulatory Compliance**: Healthcare organizations face challenges in meeting new compliance standards set by the EU's AI Act. - **Algorithmic Bias**: AI systems can produce misleading results and perpetuate biases, particularly affecting marginalized communities. - **Administrative Burdens**: High levels of clinician burnout attributed to excessive administrative tasks, which AI aims to alleviate. - **Regulatory Fragmentation**: Differing national regulations complicating operations for multinational corporations in the AI sector. - **Skill Gaps**: Healthcare professionals express the need for comprehensive training in AI technologies to ensure effective utilization. - **Data Breaches and Financial Losses**: The healthcare industry experienced significant financial losses due to cyber incidents, highlighting the need for robust cybersecurity measures. - **Lack of Uniform Standards**: Challenges in achieving interoperability and data sharing due to inconsistent standards for medical data and algorithms. ## Related Topics [[AI Implementation Risks]]; [[AI Governance]]