The use of archived injormatiori arid knowledge derived from data-driven system, both at the poirit of care and retrospectively, is critical to iniproving the balance between healthcare e.rperiditure arid healthcare qirality. Data-driveti clinical decision support, augmented by pe$orinance feedback arid edircatiori, is a logical addition to consensus arid evidence-based ripproaches on the path to rvidespread use of iritellig8erit search agents, expert recogriitiori and wurtiitig systems. We

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... eve that these initial applications should ( a ) capture arid archive, with identifiable end-points, complete episode of care information for high-cornplexity, highcost illiiesses. uritl ( b ) utilize large riirrnbers of these cases to drive risk-adjusted "ir7divihralized" probribilities,for putierits requiring care ut the time of ititervention.