Telemedicine, seen as a solution for growing healthcare problems, is still not reaching its full potential. Telemedicine pilots can result in high costs, without successfully increasing patients’ wellbeing as intended. Appropriate tools for scaling up telemedicine, like prescriptive maturity models, are needed. They can help people to assess the status quo and make progress with the scaling up process by presenting them with pre-defined improvement measures. Prior research has already led to the development of such tools, but an overview is still lacking as to which models fit which purpose and whether the measures presented are helpful and, if so, in what way. The aim of this research is to provide an overview and classification of existing prescriptive maturity models for telemedicine. A systematic literature review has been conducted and a classification scheme derived to assess the identified models. The resulting overview outlines a starting point for on-going research and presents a scheme for assessing existing models with regard to how fit they are for usage.