# Ethical Considerations * **Definition:** Ethical considerations in healthcare or healthcare technology refer to the moral principles and values that guide decision-making and practices, ensuring respect for patient autonomy, beneficence, non-maleficence, and justice, while addressing issues such as informed consent, privacy, equity, and the implications of technological advancements on patient care. * **Taxonomy:** Healthcare Topics / Ethical Considerations ## News * Selected news on the topic of **Ethical Considerations**, for healthcare technology leaders * 5K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/26/2025 | [**Document Storage Software Market Size and Growth: Trends and Opportunities - LinkedIn**](https://www.linkedin.com/pulse/document-storage-software-market-size-growth-trends-hkwbc) | [[Linkedin]] | | 5/12/2025 | [**Unlocking the future of research: The power of harmonized global real-world data**](https://www.healthcaredive.com/spons/unlocking-the-future-of-research-the-power-of-harmonized-global-real-world/747081/) | [[Healthcare Dive]] | | 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]] | | 3/11/2025 | [**Equipping Healthcare Professionals for the AI-Powered Healthcare Revolution: Lessons ... - Medium**](https://medium.com/@alexglee/equipping-healthcare-professionals-for-the-ai-powered-healthcare-revolution-lessons-from-harvard-e8f83dd3df8b) | [[Medium]] | | 3/1/2025 | [**The Promise and Pitfalls of Digital Twins in Healthcare - by The Immersive Nurse - Medium**](https://medium.com/@TheImmersiveNurse/the-promise-and-pitfalls-of-digital-twins-in-healthcare-b30a21ab10e8) | [[Medium]] | | 2/11/2025 | [**Cloud Computing Trends for 2025: Shaping the Future of Technology - Medium**](https://medium.com/@codekvnnn/cloud-computing-trends-for-2025-shaping-the-future-of-technology-c1e18a928fd8) | [[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]] | | 1/31/2025 | [**Revolutionizing Healthcare IT: The Power of Hyperautomation**](https://www.healthcareittoday.com/2025/01/31/revolutionizing-healthcare-it-the-power-of-hyperautomation/) | [[Healthcare IT Today]] | | 1/13/2025 | [**Innovation he Double-Edged Sword of Health Technology**](https://hitconsultant.net/2025/01/14/the-double-edged-sword-of-health-technology/) | [[HIT Consultant]] | | 1/7/2025 | [**The RCM Arms Race: How AI is Reshaping Healthcare Finance in 2025**](https://hitconsultant.net/2025/01/07/the-rcm-arms-race-how-ai-is-reshaping-healthcare-finance-in-2025/) | [[HIT Consultant]] | | 12/27/2024 | [**AI Tech: How AI Will Affect The Economy In 2025 - by john tsantalis - Dec, 2024 - Medium**](https://medium.com/@johntsantalis/ai-tech-how-ai-will-affect-the-economy-in-2025-b04f100a74ff) | [[Medium]] | | 12/26/2024 | [**What will AI do for telemedicine in 2025? More than you might think - Healthcare IT News**](https://www.healthcareitnews.com/news/what-will-ai-do-telemedicine-2025-more-you-might-think) | [[Healthcare IT News]] | | 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]] | | 12/5/2024 | [**Beyond Innovation: Confronting the Complex Risks in Health Technology Development**](https://medtechintelligence.com/feature_article/beyond-innovation-confronting-the-complex-risks-in-health-technology-development/) | [[MedTech Intelligence]] | | 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]] | | 9/19/2024 | [**Resources for Healthcare Providers: Unlocking the Potential of New Healthcare Technology**](https://www.therolladailynews.com/resources-for-healthcare-providers/) | therolladailynews.com | | 9/3/2024 | [**AI in Healthcare: A Comprehensive Guide For 2025 - by Camilla Rantsen - Medium**](https://medium.com/gamingarena/ai-in-healthcare-a-comprehensive-guide-for-2025-564b0831ab3f) | [[Medium]] | | 8/15/2024 | [**Artificial Intelligence, the Digital Surgeon: Unravelling Its Emerging - Dove Medical Press**](https://www.dovepress.com/artificial-intelligence-the-digital-surgeon-unravelling-its-emerging-f-peer-reviewed-fulltext-article-JMDH) | dovepress.com | | 7/17/2024 | [**Seneca Polytechnic Leads Seminar on AI In Healthcare, Announces New Programs And Industry Collaborations**](https://www.bignewsnetwork.com/news/274460794/seneca-polytechnic-leads-seminar-on-ai-in-healthcare-announces-new-programs-and-industry-collaborations) | bignewsnetwork.com | | 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]] | | 7/10/2024 | [**Med-Tech and Automation trends in the medical devices industry - Infiniti Research**](https://www.infinitiresearch.com/thoughts/medical-device-industry-trends-automation/) | infinitiresearch.com | | 7/5/2024 | [**DataPrivacy CMO Kohei Kurihara on LinkedIn: Gen AI's impact on healthcare**](https://www.linkedin.com/posts/kuriharan_gen-ais-impact-on-healthcare-cutting-edge-activity-7215115840273227776-xQK7) | [[Linkedin]] | | 7/4/2024 | [**Advanced Analytics Market Share, Size, Growth Forecast till 2030 - WhaTech**](https://www.whatech.com/og/markets-research/it/852251-advanced-analytics-market-share-size-growth-forecast-till-2030) | whatech.com | | 7/3/2024 | [**The Power of Precision Medicine in Revolutionizing Healthcare**](https://www.healthcaretechoutlook.com/news/the-power-of-precision-medicine-in-revolutionizing-healthcare-nid-4193.html) | healthcaretechoutlook.com | | 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 - **QingSong Health**: A healthcare provider that emphasizes ethical leadership and integrated healthcare solutions. - **Telehealth.org**: An organization providing educational resources for professionals to understand AI's role in behavioral health. - **Carina Edwards**: CEO of Kipu, focusing on ethical AI development and patient safety in behavioral health. - **Ed Gaudet**: CEO of Censinet and Co-Chair of the Trustworthy Technology and Innovation Consortium (TTIC), influential in ensuring the security and compliance of AI technologies in healthcare. - **Coalition for Health AI**: A group focused on establishing standards for AI in healthcare, including the development of certification frameworks. - **World Health Organization (WHO)**: An international public health agency that emphasizes the ethical use of AI in enhancing health services and addressing health disparities. - **Peterson Health Technology Institute**: An organization that has initiated an AI task force to evaluate the impact of AI on healthcare. - **Michael Johnson**: Chief Strategy Officer at Traliant, highlighting the importance of compliance and trust in navigating AI and data privacy challenges. - **Dena Almansoori**: Group Chief AI and Data Officer at e&, emphasizing responsible governance in AI and commitment to setting global benchmarks for AI governance practices. - **Lenovo**: A technology company focusing on security posture and AI governance initiatives to protect data privacy and customer trust. - **Centers for Medicare & Medicaid Services (CMS)**: A U.S. government agency that promotes health equity and addresses disparities in healthcare access and treatment. - **Medscape and HIMSS**: Organizations that conducted a survey revealing insights into AI adoption in healthcare. - **TriNetX**: A company utilizing real-world data and AI to optimize clinical trial processes and enhance recruitment efficiency. - **Artisight**: Focuses on AI-powered smart hospital platforms to improve virtual care models and care coordination. - **IBM Watson**: Provides personalized cancer treatment suggestions by analyzing patient data against extensive medical literature. - **Ainnova Tech, Inc.**: Partnering with Avant Technologies to commercialize AI technologies for healthcare applications. - **Mayo Clinic**: A leading healthcare organization that has developed a Digital Pathology system utilizing AI. - **DeepMind**: Developed AlphaFold, enhancing medical research and clinical practice by improving diagnostic accuracy. - **Microsoft**: Developed Osairis, contributing to advancements in medical AI applications. - **Avant Technologies, Inc.**: A company involved in a joint venture with Ainnova Tech, focusing on advancing early disease detection using AI. ### Partnerships and Collaborations - **Medscape and HIMSS**: Collaborated to release a report on AI adoption in healthcare, highlighting ethical concerns and the need for training. - **e& and IBM**: Partnered to implement a comprehensive AI governance solution aimed at enhancing compliance and ethical practices within its AI ecosystem. - **Kipu Health and Amazon Web Services (AWS)**: Collaborating to create AI tools for improving clinical workflows and patient care in the behavioral health sector. - **CMS Health Equity Conference**: An event that brings together stakeholders to discuss advancements aimed at addressing health disparities and improving access to care. - **ALIGNMT AI and Healthcare Financial Management Association (HFMA)**: Launched a micro-credentialing program to enhance AI governance skills among healthcare professionals. - **CancerX**: A collaborative initiative showcasing how partnerships among health systems, technology leaders, and policymakers can drive advancements in cancer care. - **Abbott Laboratories and Merck & Co.**: Engaged in strategic collaborations to enhance capabilities in personalized medicine and oncology treatments. - **National Quantum Computing Centre (NQCC)**: Engaging stakeholders to explore the transformative potential of quantum computing in healthcare. - **Mayo Clinic and Nvidia**: Collaboration to develop a Digital Pathology system that utilizes AI for improved diagnostics. - **Avant Technologies and Ainnova Tech**: Joint venture aimed at enhancing early disease detection through AI technologies. ### Innovations, Trends, and Initiatives - **Large Language Models (LLMs)**: Being integrated into EHR systems, raising ethical concerns regarding data use and accountability. - **Traliant's Compliance Training**: New online courses focused on the ethical use of AI in the workplace and HIPAA compliance, addressing critical issues in technology and healthcare. - **Generative AI in Healthcare**: Transforming drug discovery and personalized treatment plans, while raising ethical concerns regarding data privacy and algorithmic bias. - **EU AI Act**: Establishes a regulatory framework for the ethical and safe deployment of AI technologies in healthcare, promoting responsible innovation. - **AI Doctors**: Virtual assistants that leverage AI for patient interaction, raising ethical concerns about privacy and informed consent. - **AI Model Cards**: Proposed by the Coalition for Health AI to provide transparency about AI algorithms, similar to nutrition labels. - **AI in Clinical Trials**: Utilizing AI and real-world data to improve recruitment processes and diversity in clinical trials. - **Precision Medicine**: Utilizes individual genetic, environmental, and lifestyle factors to optimize healthcare delivery and patient outcomes. - **AI in Telemedicine**: Accelerated adoption during the COVID-19 pandemic, improving access to care, especially in rural areas. - **Generative AI (GenAI)**: Transforming healthcare by improving clinical decision-making and operational efficiency through adaptive clinical pathways. - **AI in Healthcare**: AI is increasingly utilized for administrative tasks, with clinical applications still in early adoption stages, highlighting a significant skills gap among healthcare professionals. - **Digital Twins**: Virtual replicas used in healthcare to analyze and manage complex systems, enhancing personalized medicine. - **Generative AI**: Revolutionizing healthcare by enhancing diagnosis, drug development, and patient engagement through advanced data analysis. - **Hyperautomation**: Integrating AI and robotic process automation to streamline workflows in healthcare, enhancing patient care and operational efficiency. - **AI in Revenue Cycle Management**: Approximately 46% of hospitals are using AI to enhance operational efficiency and safeguard revenue. ### Challenges and Concerns - **Ethical Guidelines**: The necessity for clear ethical guidelines as AI technology advances, ensuring responsible use in healthcare. - **Ethical Implications of AI**: Concerns about transparency, bias, and health equity must be addressed to prevent exacerbating existing disparities. - **Data Privacy**: Ethical concerns regarding patient data privacy and the need for transparency in AI decision-making processes. - **Ethical Implications**: 70% of respondents cite ethical implications of AI in healthcare as a major worry. - **Regulatory Hurdles**: The need for clear guidelines and ethical oversight to ensure responsible AI use in healthcare. - **Algorithmic Bias**: Concerns about biases in AI models affecting patient outcomes and the importance of ensuring fairness in AI applications. - **Regulatory Compliance**: Healthcare organizations face challenges in establishing governance frameworks and ethical guidelines for effective AI management. - **Implementation Challenges**: Healthcare organizations report hurdles in AI implementation, including integration with legacy systems and ethical considerations surrounding sensitive data. - **Transparency and Accountability**: The necessity for clear guidelines and standards to ensure responsible AI deployment. - **Trust in Technology**: A significant percentage of healthcare professionals express concerns about the risks associated with AI technologies. - **Accountability in AI**: The complexity of defining responsibilities among developers, healthcare providers, and manufacturers in case of errors. - **Data Privacy and Security**: Healthcare organizations must prioritize patient privacy and data security while adopting new technologies. - **Bias in AI Algorithms**: The risk of perpetuating health disparities due to biased training datasets, highlighting the need for diversity in data. ## Related Topics [[Ethical Concerns]]; [[Ethical Considerations in AI]]; [[Ethical Concerns in AI]]