Related Experiment Video
Updated: May 7, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
Increasing the reporting of adverse drug reaction-related hospitalizations using an ICD-10-based identification
Georgia Anita Weber1, Sophie-Charlotte Bartel2, Michael Boch1
1Faculty for Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.
Background:
Reporting adverse drug reactions (ADRs) is essential for drug safety. In Switzerland, healthcare professionals are legally required to report serious and unlabelled ADRs, yet under-reporting remains widespread. We tested a novel method to increase reporting of ADR-related hospitalizations.
Methods:
This retrospective observational study used ADR-indicative ICD-10 codes to screen admissions to four Swiss hospitals, identify suspected drugs and send individual case safety reports (ICSRs) of confirmed cases to Swissmedic.
Results:
Participating hospitals previously reported ~18 ICSRs annually. During the study period (7/2023-12/2023), 200 ADR-related hospitalizations were reported following a review of 814 pre-filtered admissions. Most ICSR data were available in structured format: Median age of patients was 59 (interquartile range [IQR] 42-75); 87 (44%) males; median of two comorbidities (IQR 1-3); the three most frequent ADRs were 'K52.1 Toxic gastroenteritis and colitis' (11 [6%]), 'T42.4 Poisoning by benzodiazepines' (10 [5%]) and 'R11 Nausea and vomiting' (10 [5%]). Discharge reports contained free-text information on suspected drugs: More than half of ADR-related hospitalizations were caused by antineoplastics (45 [23%]), psycholeptics (38 [19%]), opioids and other analgesics (34 [17%]). The median time to screen a case was 1 min, 8 min to collect, compile and send data of confirmed cases.
Conclusion:
The approach successfully increased reporting of serious ADRs. The time investment for creating ICSRs might soon be rendered obsolete, as most data are available in structured format, and large language models are key to identifying suspected drugs in discharge reports.
More Related Videos
11:17Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
Published on: August 30, 2018
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Related Concept Videos
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Pharmaceutical Poisoning: Potential Scenarios
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Types of Reports II: Incident or Occurrence Report
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
Drug Toxicity: Risk factors
Automated Microbial Diagnostics