Empowering Clinicians as Citizen Developers: Leveraging Generative AI and Low-Code Platforms in Healthcare
Year: 2025
Type: article
Abstract: The rising demand for scalable digital health solutions is reshaping how technology is built and delivered in healthcare.Low-code platforms have already accelerated application development, but many clinicians-those closest to patients-are left out of the design process because they lack coding expertise.Recent advances in generative AI open the door to a new possibility: turning clinicians into empowered "citizen developers" who can shape, customize, and deploy solutions with little to no technical background.This paper explores how the convergence of generative AI and low-code platforms [1] can bridge the gap between technology and patient care.We highlight frameworks, practical use cases, and the risks involved in giving clinicians a more active role as technology creators.Alongside the promise of shorter development cycles, stronger clinician engagement, and better patient outcomes, we also address challenges such as governance, data privacy, model bias, and regulatory hurdles.To guide this transition, we propose a structured model for integrating generative AI copilots into low-code platforms-demonstrating how this shift could democratize healthcare innovation and move us closer to truly intelligent, clinician-driven solutions.
Author: Preeti Tupsakhare
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4414240997