SIDDHI: An Easy-to-use Web-based Trailblazing Software Tool for Developing Data-Driven Health Economics Models and Performing Cost-Effectiveness Analysis

Abstract

Rapid advances in health technology occurring around the world have paved the way for improved patient care and healthcare systems. Decision tree-based modelling technique is often used to evaluate a new health technology that extrapolates the cost and effectiveness of competing interventions. With the rapid pace of health innovation, developing a decision tree model for the evaluation of the economic value of health interventions is key for timely use for mitigating health consequences, while reducing the cost of development and evaluation. In this study, components of a novel web-based software tool, SIDDHI (Solutions for user Interface models using Decision-trees for Developing Health Technology and Innovation), are described. SIDDHI is the first of its kind tool that revolutionizes the process of decision tree-based analysis during health economic evaluation. SIDDHI was created to assist in quick, automated data-driven cost-effectiveness analysis to generate a flexible graphical user interface (GUI) via decision tree models in a timely manner. SIDDHI has numerous advantages, including rapid cost-effectiveness analysis, seamless handling of multiscale data, accessibility for diverse stakeholders, data and modelling standardization for repeated use, and versatility in training and supporting users with varying skill levels. SIDDHI is expected to bring revolutionary changes in user interface platforms that will create a unique environment for all types of healthcare professionals and provide a complete satisfying user experience while accurately providing overall healthcare results of interest. The future features of the tool will include AI abilities to input and validate with data and extended modelling frameworks.