Integrating Artificial Intelligence Across Medical Clinics: Strengthening Collaborative Efforts for Improved Patient Outcomes
Year: 2024
Type: article
Abstract: The integration of Artificial Intelligence (AI) across medical clinics holds transformative potential for enhancing patient outcomes through improved collaboration. This review examines the applications of AI in fostering inter-clinic connectivity, with a focus on diagnostics, treatment planning, and patient management. By utilizing AI-powered data-sharing platforms, predictive analytics, and telemedicine solutions, clinics can collaborate more efficiently, ensuring continuity of care and reducing diagnostic errors. Despite these advancements, challenges persist, including data privacy, interoperability, and resistance to AI adoption among clinical staff. This review highlights case studies showcasing successful AI-enabled collaborations and proposes future directions to address current limitations. Overall, AI's role in linking medical clinics underscores its potential to revolutionize patient care by bridging gaps in communication and decision-making processes.
Source: Journal of Ecohumanism
Authors: Mahdi Salem Mana Alyami, Mohammad Mahdi Mohammad Alyami, Hamad Ali Muhammad Al Khuraim, AWADH MOHAMMAD SALEM AL SALEM, Hadi Ali Mohammed Al, Khalid Ali Mohammed Albakri, Qubyl Nasser ALsaqran, Hamda Salem Alyami, Ahmed Saleh Alzamanan, Fahad Monawer Alharbi, Mofleh Ali Alharbi
Institution: Ministry of Health
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4404238235