TY - JOUR AU - Soler, Jean K. AU - Corrigan, Derek AU - Kazienko, Przemyslaw AU - Kajdanowicz, Tomasz AU - Danger, Roxana AU - Kulisiewicz, Marcin AU - Delaney, Brendan PY - 2015 DA - 2015/05/16 TI - Evidence-based rules from family practice to inform family practice; the learning healthcare system case study on urinary tract infections JO - BMC Family Practice SP - 63 VL - 16 IS - 1 AB - Analysis of encounter data relevant to the diagnostic process sourced from routine electronic medical record (EMR) databases represents a classic example of the concept of a learning healthcare system (LHS). By collecting International Classification of Primary Care (ICPC) coded EMR data as part of the Transition Project from Dutch and Maltese databases (using the EMR TransHIS), data mining algorithms can empirically quantify the relationships of all presenting reasons for encounter (RfEs) and recorded diagnostic outcomes. We have specifically looked at new episodes of care (EoC) for two urinary system infections: simple urinary tract infection (UTI, ICPC code: U71) and pyelonephritis (ICPC code: U70). SN - 1471-2296 UR - https://doi.org/10.1186/s12875-015-0271-4 DO - 10.1186/s12875-015-0271-4 ID - Soler2015 ER -