AI-Powered Web Applications for Enhanced Clinical, Research, and Professional Development

Abstract

Introduction: The rapid growth of technology in the field of anesthesiology offers unique opportunities to leverage artificial intelligence (AI) for enhancing clinical, research, and administrative operations. Our team, consisting of anesthesiologists and data scientists, sought to develop a suite of web applications using generative AI to address specific challenges faced by anesthesiology departments. Objective: To design, develop, and evaluate the feasibility of a range of AI-powered web applications tailored for anesthesiologists to streamline research feasibility, literature searches, protocol drafting, text simplification, work promotion, grant writing, professional advancement, and secure communication. AI Tools developed: Data Feasibility Analysis: AI-assisted search of descriptions and schemas of multiple data warehouses to assess the feasibility of various clinical and research ideas. AI-Powered PubMed Search: AI-assisted search to effciently navigate and extract relevant publications from PubMed, including summarizing the literature found. IRB Protocol Generation: Automated drafting process for Institutional Review Board (IRB) protocol forms, ensuring adherence to regulatory standards. Text Simplification: Tool to distill complex clinical, research, or regulatory text to an 8th-grade reading level, enhancing accessibility — e.g., for patient consent forms. Work Promotion and Amplification: drafts blog posts, “tweets,” and layperson summaries of research abstracts. NIH Grant Drafting: Drafts Specific Aims page and Research Strategy sections for National Institutes of Health (NIH) style applications, ensuring compliance and coherence. Professional Advancement Assistance: Drafts Promotion & Tenure portfolios and letters of recommendations Secure AI Conversations: Integrated generative AI technology in an encrypted and secured platform, safeguarding sensitive information. Conclusions: The suite of AI-powered web applications, developed in collaboration between anesthesiologists and data scientists, showcases potential in enhancing the effciency and impact of various processes integral to anesthesiology research. The integration of these tools into daily operations can potentially revolutionize how anesthesiologists engage with research, patient care, professional development, and communication. Future endeavors will focus on rigorous validation and widespread deployment to harness the full potential of these innovations. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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