An IMD follow-up support unit for supporting a follow-up session for an individual implantable medical device, said IMD follow-up support unit comprising: a data input for receiving IMD data, said IMD data including an IMD identification code identifying an individual IMD and an IMD type, and IMD irregularity messages including data identifying type and date of an irregularity, a database for storing IMD data received via said data input, a follow-up history dataset comprising at least a date of a latest follow-up session for an individual IMD, a data processor, which is adapted to: generate a list of irregularities which took place after a previous follow-up session, calculate an individual IMD irregularity index for each type of irregularity based on IMD irregularity messages associated to an individual IMD by way of said IMD identification code, calculate for each type of irregularity an average irregularity index over the same irregularity over all IMD irregularity messages associated to the same type of IMD, compare said calculated individual IMD irregularity index with said calculated average irregularity index and generate an indication if said individual IMD irregularity index differs from said average irregularity index, characterized in that said indication comprises calculating a list of hints which can help a user to improve a therapy for this type of irregularity. a data input for receiving IMD data, said IMD data including an IMD identification code identifying an individual IMD and an IMD type, and IMD irregularity messages including data identifying type and date of an irregularity, a database for storing IMD data received via said data input, a follow-up history dataset comprising at least a date of a latest follow-up session for an individual IMD, a data processor, which is adapted to: generate a list of irregularities which took place after a previous follow-up session, calculate an individual IMD irregularity index for each type of irregularity based on IMD irregularity messages associated to an individual IMD by way of said IMD identification code, calculate for each type of irregularity an average irregularity index over the same irregularity over all IMD irregularity messages associated to the same type of IMD, compare said calculated individual IMD irregularity index with said calculated average irregularity index and generate an indication if said individual IMD irregularity index differs from said average irregularity index, characterized in that said indication comprises calculating a list of hints which can help a user to improve a therapy for this type of irregularity. generate a list of irregularities which took place after a previous follow-up session, calculate an individual IMD irregularity index for each type of irregularity based on IMD irregularity messages associated to an individual IMD by way of said IMD identification code, calculate for each type of irregularity an average irregularity index over the same irregularity over all IMD irregularity messages associated to the same type of IMD, compare said calculated individual IMD irregularity index with said calculated average irregularity index and generate an indication if said individual IMD irregularity index differs from said average irregularity index, characterized in that said indication comprises calculating a list of hints which can help a user to improve a therapy for this type of irregularity.