According to the process of project from Ministry of Health and Welfare (MoHW) entitled “Pre-clinical and Clinical Study for Multi-Nation Intelligent Medication Safety System” which aimed to develop an “Advanced Electronic Safety of Prescriptions” (AESOP) system in order to reduce medication errors of prescribing prescriptions in computerized physician order entry system (CPOEs), an article has been published in SCI journal (i.e. PlosOne - A Probabilistic Model for Reducing Medication Errors). Therefore, we expect to do experimental study in two Medical centers, three Area hospitals, and an Area hospital – Clinic Cooperation in the second year of project. Number of studies reported that health information technology and especially clinical decision support systems (CDSS) were the most important role to improve patient safety and reduce “Medication error” or “Near miss” events. Moreover, we could observe that a lot of adverse drug events (ADEs) would be found after investigating and integrating various CDSSs in CPOE system. However, patient safety is still an important issue for both Taiwan and other countries as well. Most of CDSS which were implemented for automated methods statistically and maintained by experts, were “Rule based” methods with limited features itself. Thus, all of health care centers who were willingness participation in this project distributed throughout northern, central and southern of Taiwan, had understood AESOP system. In our project, the integration of AESOP system in CPOE system would help real-time detection of medical errors by reminding physicians in prescribing prescriptions. In our pilot evaluation, the results would be presented an improved accuracy with 1% reminder rate given by AESOP system, in which only 50% were inappropriate. Thus, if the results were extrapolated to the 300 million prescriptions of Taiwan per year, it could be preventable up to 1.5 million inappropriate prescription that could appear as the highest errors of “prescription opening phase”. The AESOP system was served as an efficient tool for automatic identification of uncommon medication prescribed for a given prescription and aid in improving patient safety and quality of care.
|Effective start/end date||8/1/14 → 7/31/15|