Adapt: An AI-Assisted Clinical Decision Support System for Snakebite Triage and Management in Resource-Limited Settings

Description Snakebite Triage is an open-source, AI-supported clinical decision support system developed to strengthen the assessment, triage, and management of snakebite patients in resource-constrained healthcare settings. The platform is intended to support frontline healthcare workers by providing structured, evidence-based guidance during the initial evaluation of patients presenting with suspected snakebite envenoming. The system incorporates standardized clinical assessment workflows, configurable triage algorithms, risk stratification models, and clinical decision support functions that assist healthcare providers in identifying severe envenoming, determining referral urgency, and recommending appropriate management pathways. The application is designed to operate in environments with limited digital infrastructure through offline functionality and can be adapted to national or institutional snakebite management guidelines. This repository includes: Complete source code for the Snakebite Triage platform. Technical documentation and software architecture. Clinical workflow diagrams and decision logic. Installation and deployment instructions. User documentation. Sample configuration files and implementation resources. Version history and release notes. Open-source license information. The repository is intended to promote transparency, reproducibility, collaborative software development, and further research in digital health technologies for snakebite management. Researchers, software developers, clinicians, public health practitioners, and implementation partners are encouraged to use, evaluate, adapt, and improve the platform while acknowledging the original source. Keywords: Snakebite, Snakebite Envenoming, Artificial Intelligence, Clinical Decision Support System, Digital Health, Triage, Emergency Care, Health Informatics, Mobile Health, Global Health, Neglected Tropical Diseases, Open Source Software, Resource-Limited Settings.