Project Description:
In thoracic organ transplantation, inaccurate donor-recipient size matching can result in serious complications and poor patient outcomes. Existing matching methods rely on basic metrics like height and weight, which often overlook critical anatomical differences attributed to age and sex. Match4Life is a mobile application developed to modernize this process using evidence-based calculations for predicted Total Lung Capacity (pTLC) and predicted Heart Mass (pHM). The beta version of the app, currently undergoing clinical testing, enables physicians to input patient data and receive accurate match ratios and risk assessments in under ten seconds. Built using Flutter and tested on both iOS and Android platforms, it significantly streamlines decision-making compared to more traditional workflows. The latest, or more advanced version, now includes a secure login, patient data storage, and automated match recommendations tailored to clinical priorities. Match4Life has the potential to become a widely adopted tool, making the organ matching process faster, safer, and more patient-centered.
