Literature DB >> 30147056

Data-Driven Assessment of Potentially Inappropriate Medication in the Elderly.

Marcel Friedrichs1, Alban Shoshi1, Maren Kleine1.   

Abstract

Multimorbid patients taking polypharmacy represent a growing population at high risk for inappropriate prescribing. Various lists for identifying potentially inappropriate medication are spread across scientific journals and difficult to access. To address this ongoing need, a new database named PIMBase is developed which integrates these well-known lists and unifies their rating scales. The analysis of the pharmacovigilance data reveals the benefits of combining the lists. PIMBase is meant to be a web-based system and starting point for the data-driven assessment of polypharmacy to identify inappropriate medication and to improve the quality of prescribing. PIMBase is available at https://pimbase.kalis-amts.de.

Entities:  

Keywords:  Drug-Related side effects and adverse reactions; computer-assisted decision making; decision support systems; inappropriate prescribing; information systems; medication errors; polypharmacy; potentially inappropriate medication list

Mesh:

Year:  2018        PMID: 30147056

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  History and Future of KALIS: Towards Computer-assisted Decision Making in Prescriptive Medicine.

Authors:  Marcel Friedrichs; Alban Shoshi
Journal:  J Integr Bioinform       Date:  2019-05-30
  1 in total

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