The introduction of distributed ECG interpretation is currently limited by the computational capacity of a battery-operated wearable recorder. The relations between human experts in cardiology are generalized in this paper and considered as a pattern of co-operation between computerized interpretation centers. Studying the cardiologist's practice we found out that during the years the range of family doctors skills, their adaptations to the patient-specific needs and their communication with the regional experts were optimized. Extrapolation of this approach to the artificial networks assumes that only selected and commutable basic interpretation routines are implemented in a remote recorder limiting its costs, increasing the autonomy time and adaptability. While most of cases are resolved on local level, the complicated but not very frequent events are reported directly to the interpretive center, for automated or human-assisted interpretation. Such architecture, derived from natural task sharing, is believed to fulfil all the diagnostic requirements with minimum involvement of complicated equipment and at minimum costs of data transmission.