The idea of using computer science for early detection of ADRs dates back to 1970s, where it was used to mine data from computerized health records (nowadays known as electronic patient records (EPR) and formerly know as electronic health records (EHR)). The system was designed do automatically detect potential signals of ADRs and alert the pharmacologists [19]. During the late 1970s and early 1980s, researchers argued whether or not clinical judgement was enough to avoid possible ADRs [20,21]. Naranjo et al. proposed a method where a weighted questionnaire would be used by the prescriber (physician or clinical pharmacologist) to calculate the risk of each drug reaction [20]. This was later to become the WHO-UMC system for standardized case causality assessment [20,22].
In the early 1990s, a computerized system, based on the method proposed by Naranjo et al. was developed [REF]. The system, developed by Classen et al. could actively monitor the EPR to screen for potential ADRs. The system was capable of …show more content…
In one study by Wuerderman et al., it was found that albeit EPR are prepared by health care professionals, they still may contain inaccurate information which in turn may lead to severe medication errors [31]. The same study reviewed that 25% of sampled patients believed that their records held erroneous data [31,32]. However, this perception may be underestimated since medication errors due to incorrect or insufficient data about patients are responsible for almost half severe medication errors
In the early 1990s, a computerized system, based on the method proposed by Naranjo et al. was developed [REF]. The system, developed by Classen et al. could actively monitor the EPR to screen for potential ADRs. The system was capable of …show more content…
In one study by Wuerderman et al., it was found that albeit EPR are prepared by health care professionals, they still may contain inaccurate information which in turn may lead to severe medication errors [31]. The same study reviewed that 25% of sampled patients believed that their records held erroneous data [31,32]. However, this perception may be underestimated since medication errors due to incorrect or insufficient data about patients are responsible for almost half severe medication errors