Abstract: Development of medical Case Based Reasoning (CBR) systems necessitates an active involvement of medical experts. The featured work aims to minimize the involvement of medical experts in enhancing the knowledge content of medical CBR systems by using causal information contained in generic EPR as an alternate source of CBR compliant cases. We present an automated Case Acquisition and Transcription Info-Structure that features (a) an agent to proactively procure XML-based EPR from Internet accessible EPR repositories; and (b) a case generation methodology to automatically transform generic EPR to specialized CBR-compliant Clinical Cases (CC). EPR-CC transformation is achieved by establishing multi-level equivalence between the EPR and CC constructs-i.e. structural equivalence via metadata constructs, terminological equivalence via meta-thesaurus and conceptual equivalence via domain-specific ontologies. The transformed CC are intended to be seamlessly incorporated within CBR-based Medical Diagnostic Systems.