Summer Internship – Questionnaire Churn Risk Modelling

.Summer Internship – Questionnaire Churn Risk Modelling What's Promptly in a nutshell We are a Data Analytics company, collecting, integrating, and analyzing data on the outcomes of care. We answer the question – is this patient treatment the best it could possibly be? What's our purpose We exist to empower every patient and every health organization on the planet with evidence on the outcomes of care! Why do we get up in the morning? Well, most healthcare professionals have chosen to work in healthcare driven by their desire to make a difference in patients' lives. And so have we! We have chosen to follow this calling by addressing the biggest problem in healthcare: the lack of real-world evidence on the outcomes of care. For us, society denying patients better care due to lack of access to data is unethical, in a world where technology has improved so many aspects of our world. Making the right evidence available to healthcare organizations to help prevent one lost life, one care complication, one failed treatment is the moral obligation that big tech companies have – it's our Hippocratic Oath. At Promptly, everything we do is driven by our core purpose: to promote better healthcare at lower costs for patients every day, by making health outcomes available. The Momentum We are scaling fast and (certainly not) breaking things, backed by renowned VC investors. In the next two years, we will enter new markets in Europe and Latin America, reaching out to new patients with multiple healthcare needs, whom we will help live their lives to their fullest potential. Exciting stuff! Summer Internship Details Duration of 8 weeks, starting in end of june/beginning of july. Work in a project that will help Promptly achieve long term objectives. Full-time internship. You manage your own time. If you have a holiday in the middle of the internship that's ok. Remote, but we have our offices open for you. You will have a mentor who will be responsible for guidance and supervision. For Residents in Portugal, only. Project Introduction We ought to automatically signal a patient if there's a chance that that patient might be abandoning the questionnaire and know what's causing that effect on the patient population. But first we have to model the problem and understand the causes and effects. Right now, we collect the logs detailing the time at which the patient has interacted with the questions, and the questions themselves. This enables us to determine at which point there's higher chances of patients abandoning the questionnaire and maybe if the actual responses have an effect on patient churn (different risks for different patient outcomes?). Project inserted in the Analyze Team. Objectives The objectives of this project are: Model patient "survival" on questionnaires (prediction and variable effect). Explore different approaches and report the results