Data Sciences in Pharma - Patient Centered Outcomes Research

The course is targeted toward people who are interested in how patient experience data and clinical outcome assessment (COA) data can be used as evidence across drug development, in the pharmaceutical industry. By the end of the course you will better understand how this data is collected and analysed to evidence how patients feel, function or survive in the context of a clinical trial. More specifically, the course will cover: i) a background to COAs; ii) a background to patient experience data; iii) how to select, develop/modify and validate COAs using qualitative data (a) and psychometrics (b); iv) interpreting data on a COA; v) measuring treatment related tolerability via patient reported outcomes; vi) Common COA data outputs. No experience in the pharmaceutical industry is needed for this course, but it is beneficial. This is an introductory course so an interest in qualitative and quantitative data and some basic knowledge in data analytics and statistics will be helpful for some lessons but is not required.