This talk aims to discuss issues and common pitfalls during the lifecycle of research projects in the field of machine learning in healthcare. There is a huge gap in the promise and adoption of ML systems in the clinical domain and this talk aims to point out some of the reasons, problems and solutions surrounding this very critical space.