The scientific community is witnessing unprecedented growth in medical research, resulting in an excessive flow of published studies. Therefore, the need to efficiently and effectively extract relevant information from these articles has become increasingly important. This thesis aimed to tackle this challenge by developing an interactive Shiny app for medical patient preference studies (PPS). PPS assesses patients' values, priorities, and choices regarding healthcare, treatments, or outcomes to better align medical decisions with their preferences and improve care. The objective was to create a user-friendly web application that enables researchers to search and analyze a vast database of scientific articles related to patient preferences in medicine.