Interactive and user-friendly pricing tool in RShiny

Challenge

• Pharmaceutical/devices companies face the critical challenge of estimating potential prices and planning the required evidence generation plan based on limited early phase clinical data
• Traditional methods often rely on limited qualitative analyses, increasing risks and hindering quick and efficient decision-making

Request

Develop a flexible, interactive and user-friendly pricing model tool

Response

• Developed a flexible tool using R and an RShiny app allowing user to input preliminary survival data, disease management and comparator information

• Utilised advanced economic modelling to analyse the provided information, derive estimated economically justifiable price ranges and to identify the data driving these prices

• Incorporated interactive graphical outputs and sensitivity analysis into the web-based tool for better decision insights and to support evidence generation planning