Prediction, Detection and Prevention of Medication Errors and Adverse Drug Reactions

Dear Colleagues,

Adverse drug reactions (ADRs) are a common cause of morbidity and mortality. Not all, but many ADRs are considered to be preventable, especially those related to medication errors and inadequate medication. Multimorbidity and polypharmacy in aging populations do not only increase the risk of medication errors and ADR, but also complicate their detection. ADR are (too) frequently not recognized as such, and are often inadequately treated with additional drugs as a new “disease”. The detection and prevention of ADR requires complete and up to date information regarding the patient’s medication and clinical conditions, as well as adequate information regarding the effects and correct use of drugs. IT-based solutions, such as automated medication checks, may aid physicians and pharmacists in identifying medication-related problems and patients at risk of ADRs. However, their use and acceptance are often limited because of issues such as over-alerting and insufficient or incompatible coding of patient and medication data. Closer interdisciplinary cooperation of physicians, pharmacists, and specialists in medical informatics may lead to new innovative methods for the identification and prevention of medication errors and adverse drug reactions.

For this Special Issue we invite authors to submit original works and state of the art reviews on key aspects of medication safety, with a focus on the identification and prevention of medication-related problems.

The Issue is open for submissions from all sections of JCM falling under this topic.

With regard to review topics, please inquire in advance with the guest editor to prevent duplications.

I look forward to and welcome your participation in this Special Issue.

Dr. Renke Maas
Guest Editor

Manuscript Submission Information

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