TOM: Treatment Outcome Monitor - a cloud-based tool designed specifically for clinics with limited resources
Globalization of clinical trials has improved slightly in the last decade, but many geographic regions have not benefited from these efforts – for example, Africa accounts for both 25% of the world’s disease burden and 17% of the world’s population but hosts less than 2% of global clinical trials. One challenge that clinics in LMICs experience is a lack of infrastructure; this includes the use of electronic medical records (EMRs) for managing and recording patient follow-up. In this project, we will create and validate a lightweight App, together with cloud-based infrastructure, that clinicians can use to record and store this data, compute state-of-the-art machine learning outcome models for treatment efficacy and toxicities, and provide library catalogues of other cohort results for direct comparisons.
Final Summary/Conclusions:
A prototype system was developed and successfully tested. To read the complete final report including methods, user instructions, usability testing scores and results, lessons learned, and user feedback, download the final report here.