View clinical trials related to Medication Errors.
Filter by:Medication treatment is not always optimal, and care transitions are problematic with errors and clinical consequences. The primary aim of this study is to evaluate the effects of an intervention to reduce errors, in the patient medication list when discharged from hospital to home. It will be secured that patients have the correct medications available for use after discharge and, that the information about current medications is correct in the Electronic Health Register and the pharmacy dispensing system. 100 patients 60 years and older, handling their own medications, and prescribed at least five continuous medications, Swedish or Arabic speaking, will be recruited from a hospital in Malmö before discharge. Discrepancies between the accurate medication list and patients' actual use will be followed up three weeks after discharge.
Drug-related problems in newborn babies have been reported with a rate of 4-30%. It is estimated that the higher rates of these problems in hospitalized children under the age of two are related to the variety of drugs used and the differences in the age, weight and diagnosis of the patients. In this context, with the clinical parameters and demographic data obtained in the first 24 hours of the patients hospitalized in the neonatal intensive care unit, machine learning algorithms are used to predict the risks that may arise from possible drug-related problems (prescribing and administration errors, side effects and drug-drug interactions) that may occur during hospitalization. The algorithm, which will be created by modeling with a high number of big data pool, is planned to be transformed into a clinical decision support system software that can be used easily in clinical practice with online and mobile applications. By processing the data of the patients to be included in the model, it is aimed to prevent and manage drug-related problems before they occur, as well as to provide cost-effective medşcation treatment to patients hospitalized in the neonatal intensive care unit, together with a reduction in the risk of drug-related mortality and morbidity.
This study aims to evaluate two interventions designed to make medication prescribing safer, OptimiseRx and PINCER, which are being used in general practices across England. The findings from the evaluation will be used to generate recommendations as to how these interventions can be used sustainably in the long-term.
The objective of this study is to quantify the benefits of using the MD.2 on health outcomes.