# Ethical Concerns * **Definition:** Ethical concerns in healthcare or healthcare technology refer to the moral issues and dilemmas that arise in the practice of medicine and the use of technology, including considerations of patient autonomy, informed consent, privacy and confidentiality, equity in access to care, and the implications of artificial intelligence and data usage on patient rights and safety. * **Taxonomy:** Healthcare Topics / Ethical Concerns ## News * Selected news on the topic of **Ethical Concerns**, for healthcare technology leaders * 5.5K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 4/28/2025 | [**The billion-dollar question every pharmacy executive will face in 2025**](https://www.beckershospitalreview.com/hospital-management-administration/the-billion-dollar-question-every-pharmacy-executive-will-face-in-2025/) | [[Beckers Hospital Review]] | | 4/21/2025 | [**Why ScionHealth isn't creating a new role for AI**](https://www.beckershospitalreview.com/healthcare-information-technology/why-scionhealth-isnt-creating-a-new-role-for-ai/) | [[Beckers Hospital Review]] | | 4/8/2025 | [**Harnessing AI in healthcare: Many opportunities but also risks and ethical considerations**](https://www.healthcareitnews.com/video/emea/harnessing-ai-healthcare-many-opportunities-also-risks-and-ethical-considerations) | [[Healthcare IT News]] | | 4/1/2025 | [**AI Agents Market is expected to generate a revenue of USD 51.58 Billion by 2032, Globally ...**](https://www.prnewswire.com/news-releases/ai-agents-market-is-expected-to-generate-a-revenue-of-usd-51-58-billion-by-2032--globally-at-38-5-cagr-verified-market-research-302416899.html) | [[PR Newswire]] | | 4/1/2025 | [**AI Agents Market is expected to generate a revenue of USD 51.58 Billion by 2032, Globally ...**](https://finance.yahoo.com/news/ai-agents-market-expected-generate-141500249.html) | [[Yahoo Finance]] | | 3/27/2025 | [**The AI Prescription: The Risks and Responsible Use of AI in Healthcare Technology**](https://www.healthcareittoday.com/2025/03/27/the-ai-prescription-the-risks-and-responsible-use-of-ai-in-healthcare-technology/) | [[Healthcare IT Today]] | | 3/21/2025 | [**The new health system C-suite buzzword**](https://www.beckershospitalreview.com/hospital-management-administration/the-new-health-system-c-suite-buzzword/) | [[Beckers Hospital Review]] | | 3/2/2025 | [**Can AI Outperform Doctors in Diagnosing Infectious Diseases?**](https://www.news-medical.net/health/Can-AI-Outperform-Doctors-in-Diagnosing-Infectious-Diseases.aspx) | [[News Medical Net]] | | 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]] | | 2/1/2025 | [**Ethical Concerns in AI and Automation: Navigating the Challenges of the Future - Talha H.**](https://www.linkedin.com/pulse/ethical-concerns-ai-automation-navigating-challenges-future-haroon-bmbzf) | [[Linkedin]] | | 1/31/2025 | [**Revolutionizing Healthcare IT: The Power of Hyperautomation**](https://www.healthcareittoday.com/2025/01/31/revolutionizing-healthcare-it-the-power-of-hyperautomation/) | [[Healthcare IT Today]] | | 1/22/2025 | [**3 Key Principles to Ensuring Ethical AI Use in Healthcare**](https://hitconsultant.net/2025/01/22/3-key-principles-to-ensuring-ethical-ai-use-in-healthcare/) | [[HIT Consultant]] | | 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]] | | 12/15/2024 | [**The Future of AI in Drug Development - by Kayden Break - Operations Research Bit**](https://medium.com/operations-research-bit/the-future-of-ai-in-drug-development-463121a2e30d) | [[Medium]] | | 12/15/2024 | [**Artificial Intelligence (AI) Market size to increase by USD 237.4 Billion between 2023 to 2028 ...**](https://www.prnewswire.com/news-releases/artificial-intelligence-ai-market-size-to-increase-by-usd-237-4-billion-between-2023-to-2028--market-segmentation-by-component-end-user-geography--technavio-302331660.html) | [[PR Newswire]] | | 12/15/2024 | [**Artificial Intelligence (AI) Market size to increase by USD 237.4 Billion between 2023 to 2028 ...**](https://finance.yahoo.com/news/artificial-intelligence-ai-market-size-014400600.html) | [[Yahoo Finance]] | | 12/15/2024 | [**Artificial Intelligence (AI) Market size to increase by USD 237.4 Billion between 2023 to 2028 ...**](https://www.marketwatch.com/press-release/artificial-intelligence-ai-market-size-to-increase-by-usd-237-4-billion-between-2023-to-2028-market-segmentation-by-component-end-user-geography-technavio-ba5ea25d) | [[MarketWatch]] | | 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 | [**Fardin Quazi on LinkedIn: #generativeai #healthcareinnovation #digitaltransformation ...**](https://www.linkedin.com/posts/fardinquazi_generativeai-healthcareinnovation-digitaltransformation-activity-7269751759697301505-y5wi) | [[Linkedin]] | | 11/8/2024 | [**AI-driven precision healthcare is here - what you need to know**](https://www.healthcareitnews.com/news/ai-driven-precision-healthcare-here-what-you-need-know) | [[Healthcare IT News]] | | 11/8/2024 | [**Artificial Intelligence Market to Grow by USD 237.4 Billion from 2024-2028, as AI-Driven ...**](https://www.prnewswire.com/news-releases/artificial-intelligence-market-to-grow-by-usd-237-4-billion-from-2024-2028--as-ai-driven-fraud-prevention-and-malicious-attack-protection-boost-market---technavio-302298727.html) | [[PR Newswire]] | | 11/4/2024 | [**Ready to transform healthcare? Get ready for AI**](https://www.healthcaredive.com/spons/ready-to-transform-healthcare-get-ready-for-ai/731163/) | [[Healthcare Dive]] | | 7/19/2024 | [**The Shifting AI Landscape - MedCity News**](https://medcitynews.com/2024/07/the-shifting-ai-landscape/) | [[MedCity News]] | | 7/16/2024 | [**Ethical Considerations in the Use of Artificial Intelligence and Machine Learning in Health Care**](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11249277/) | [[NCBI - NIH]] | | 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 - **NIH**: The National Institutes of Health, emphasizing the importance of ethical guidelines in AI development. - **Tesco**: A retail company facing criticism for a pilot program involving midwives providing infant feeding advice, raising ethical concerns about potential conflicts of interest. - **WHO**: World Health Organization, emphasizing the ethical use of AI in health services. - **AI Developers**: Organizations creating AI models that face scrutiny regarding transparency and accountability in healthcare applications. - **World Health Organization**: An international body emphasizing ethical AI deployment in healthcare. - **American Nurses Association**: An organization that emphasizes the importance of maintaining a human element in nursing practice while integrating AI technologies. - **Google**: A tech company that has established AI principles to mitigate harmful outcomes and avoid unfair bias in AI applications. - **Ed Gaudet**: CEO of Censinet, influential in ensuring the security and compliance of AI technologies in healthcare. - **Dena Almansoori**: Group Chief AI and Data Officer at e&, emphasizing responsible governance in AI. - **Peterson Health Technology Institute**: An organization that has initiated an AI task force to evaluate the impact of AI on healthcare costs and efficiency. - **Danone**: A formula company involved in the Tesco pilot program, accused of undermining breastfeeding efforts. - **Meta**: A major tech company investing in AI to enhance user experiences and advertising. - **FDA**: The U.S. Food and Drug Administration, which regulates medical devices and has granted marketing authorization for AI-enabled healthcare tools. - **DeepHealth, Inc.**: A subsidiary of RadNet focused on AI-powered radiology informatics. - **Amazon Web Services**: Provides cloud-based AI solutions for healthcare data management. - **Artisight**: A company focused on AI-powered smart hospital platforms to enhance virtual care models. - **Microsoft**: A leading technology company investing in AI for healthcare applications. - **IBM**: A major player in AI platforms, focusing on healthcare solutions and data analytics. - **Mayo Clinic**: A healthcare provider that has developed a Digital Pathology system utilizing AI for improved diagnostics. ### Partnerships and Collaborations - **Medscape and HIMSS**: Jointly released a report on AI adoption in healthcare, highlighting ethical concerns. - **Tesco and Danone**: Collaboration criticized for ethical implications in promoting formula feeding over breastfeeding. - **e& and IBM**: Collaborating to implement a comprehensive AI governance solution to enhance compliance and ethical practices. - **Healthcare Sector Collaborations**: Training programs and hackathons to promote responsible AI use. - **California State University and OpenAI**: A partnership aimed at implementing AI technologies in education while addressing ethical concerns related to AI use. - **DeepHealth Collaborations**: Strategic partnerships with industry leaders to enhance AI adoption in healthcare. - **Mayo Clinic and Nvidia**: Collaboration to develop a Digital Pathology system that utilizes extensive datasets for commercialization. - **Peter MacCallum Cancer Centre and John Holland Group**: Collaborating to address data fragmentation using Databricks cloud data and AI platform. - **FreedomPay and Mastercard**: A collaboration aimed at leveraging combined strengths for improved operational efficiency. - **Walmart and IBM**: A partnership focused on enhancing market reach through technology integration. ### Innovations, Trends, and Initiatives - **AI Governance Programs**: Healthcare organizations are establishing robust AI governance frameworks to manage risks and ensure ethical use. - **Large Language Models (LLMs)**: The integration of LLMs into electronic health records presents potential benefits but raises ethical, legal, and operational concerns, particularly regarding unconsented data use. - **Generative AI**: Emerging as a transformative technology in healthcare, enhancing diagnostics and patient engagement while necessitating careful ethical considerations. - **AI in Drug Development**: AI technologies are being integrated into drug discovery and clinical trials, enhancing efficiency but raising ethical concerns about data use and accountability. - **AI in Nursing Informatics**: AI is being integrated into nursing informatics to improve patient outcomes and operational efficiency, but it raises ethical concerns regarding data privacy and bias. - **Hyperautomation in Healthcare**: A strategy that combines AI and automation to enhance operational efficiency, while also addressing ethical and regulatory considerations. - **CMS Health Equity Conference**: Aiming to address health disparities through innovative healthcare technologies. - **AI in Cybersecurity**: AI-driven solutions are being developed to protect sensitive patient information and ensure compliance with data privacy regulations. - **AI in Healthcare**: Enhancing diagnostics, treatment personalization, and operational efficiency. - **Generative AI (GenAI)**: Emerging technology with potential to enhance care delivery and operational efficiency in healthcare. - **AI in Mental Health**: Utilization of AI tools like chatbots for immediate support and predictive analytics. - **Generative AI in Healthcare**: Utilizing advanced algorithms to analyze unstructured data, improving diagnostics and patient care. - **Digital Twins in Oncology**: AI technologies are being utilized in clinical trials to enhance patient recruitment and simulate outcomes. - **Hyperautomation**: Integrating AI and machine learning to streamline healthcare operations and enhance cybersecurity. - **AI-Driven Diagnostics**: AI tools enhancing accuracy and efficiency in disease detection and treatment. - **AI in Telemedicine**: AI technologies are being integrated into telemedicine to improve patient interactions and diagnostics. - **Generative AI in Document Processing**: Adoption of AI technologies to improve efficiency in document handling. ### Challenges and Concerns - **Ethical Implications of Surveillance Technologies**: Concerns about human rights and patient dignity in mental health settings. - **Ethical Standards**: The need for ethical considerations in the deployment of AI to ensure patient safety and trust. - **Ethical Dilemmas**: The integration of AI raises ethical questions about decision-making processes and the need for human oversight. - **Ethical Implications of AI Use**: The need for ethical guidelines to ensure fairness, safety, and transparency in AI applications within healthcare. - **Commercialization of Patient Data**: Ethical implications arise from monetizing patient data without proper consent, highlighting the need for transparency and patient ownership of data. - **Regulatory Frameworks**: The lack of clear oversight and regulatory guidance for AI integration in healthcare raises significant ethical concerns. - **Privacy Issues**: The collection and analysis of vast amounts of personal data raise significant privacy and data security concerns. - **Ethical Use of AI**: The healthcare community is encouraged to adopt ethical best practices to ensure responsible deployment of AI technologies. - **Data Privacy**: Concerns regarding the protection of sensitive patient information in AI applications. - **Trust in Technology**: A significant challenge in AI adoption, with many healthcare professionals expressing concerns about the risks associated with AI technologies. - **Algorithm Bias**: Healthcare organizations must address biases in AI algorithms to ensure fair and equitable treatment. - **Data Privacy and Security**: The use of AI in healthcare raises significant concerns about patient data privacy and the security of sensitive information. - **Transparency and Accountability**: Need for clear guidelines on AI decision-making processes to maintain trust. - **Bias in Algorithms**: There is a critical need to eliminate biases in AI algorithms to promote fairness and equity in patient care. - **Algorithmic Bias**: The risk of bias in AI algorithms affecting patient outcomes and healthcare equity. ## Related Topics [[Ethical Considerations]]; [[Ethical Concerns in AI]]; [[Ethical Concerns with AI]]; [[Ethical and Regulatory Challenges]]; [[Regulatory Concerns]]; [[Security Concerns]]; [[Privacy Concerns]]; [[Ethical Considerations in AI]]