Predicting individualized clinically relevant outcomes: a new method for decision support using routine outcome measurements

Project summary

Decisions in daily clinic are usually not based on individual patient data but on clinician experience and guidelines. Consequently, decisions are not individualized and at risk of being suboptimal. I propose a method for real-time prediction of individualized outcomes and costs, facilitating shared decision-making and increasing patient value.