چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده | نفر چندم مقاله |
|---|---|
| امیررضا صفرخانلو | اول |
| زهرا شیخ علیپور | دوم |
| نعیم بابای اهری | سوم |
| علی احمدیزاده | چهارم |
| هدیه ولی پور | پنجم |
| عنوان | متن |
|---|---|
| خلاصه مقاله | Building Trust in Smart Hospitals: Ethical AI and Data Security The integration of Artificial Intelligence (AI) in smart hospitals represents a groundbreaking transformation in healthcare, offering significant advancements in diagnostics, personalized treatments, operational efficiency, and patient outcomes. However, the adoption of AI raises critical concerns regarding ethical practices, data security, and trust among patients and healthcare providers. Building trust is a multifaceted challenge that requires addressing algorithmic biases, ensuring transparency, safeguarding sensitive data, and promoting active engagement among stakeholders. This study explores comprehensive strategies to foster trust in smart hospitals through a systematic review of literature published between 2020 and 2024, sourced from PubMed, Scopus, and Google Scholar. The review adhered to PRISMA guidelines, ensuring a transparent and systematic approach to article selection and data extraction. Out of 1,436 articles initially identified, 47 met the inclusion criteria and were analyzed in-depth. The analysis focused on ethical AI frameworks, data security protocols, and trust-building mechanisms. To ensure the relevance and reliability of findings, expert interviews and stakeholder surveys were also conducted, emphasizing practical applications and real-world challenges in healthcare settings. The results demonstrate that ethical AI practices, including bias mitigation, transparency, and algorithmic accountability, are essential for gaining stakeholder confidence. Robust data security measures, such as advanced encryption techniques, multi-factor authentication, and regular system audits, are critical in protecting patient information and preventing breaches. Additionally, fostering trust requires proactive engagement with patients and healthcare providers through clear communication, education, and inclusion in AI-related decision-making. Compliance with international regulatory standards, including GDPR and HIPAA, further strengthens the accountability and ethical integrity of smart hospitals. In conclusion, the successful integration of AI in smart hospitals relies on a holistic approach that combines ethical practices, stringent data security measures, and active stakeholder involvement. Transparent communication, patient empowerment, and adherence to regulatory frameworks are critical to building trust and ensuring the sustainable adoption of AI technologies in healthcare. By addressing these challenges, smart hospitals can harness the full potential of AI to revolutionize healthcare delivery while upholding ethical principles and safeguarding patient well-being. |
| کلمات کلیدی | Keywords Ethical AI, Smart Hospitals, Data Security, Trust-building, Artificial Intelligence in Healthcare, Patient Autonomy, Data Governance, Regulatory Compliance. |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| photo_2025-04-24_12-06-55.jpg | 1404/02/04 | 128237 | دانلود |
| 1.pdf | 1404/02/07 | 52225 | دانلود |
