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Related Concept Videos

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Pharmaceutical Poisoning: Potential Scenarios

Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...
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Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
Drug Regulation01:25

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Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
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Related Experiment Video

Updated: May 8, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Medication safety and knowledge-based functions: a stepwise approach against information overload.

Andrius Patapovas1, Harald Dormann, Brita Sedlmayr

  • 1Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. andrius.patapovas@uk-erlangen.de

British Journal of Clinical Pharmacology
|September 7, 2013
PubMed
Summary

This study enhanced medication safety in the emergency department (ED) using computer-assisted interventions. The new system improved drug safety information integration and presentation, receiving positive user acceptance.

Keywords:
computerizeddecision support systemselectronic prescribingmedical records systemmedication safetymedication therapy managementtechnology acceptance model

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Health Informatics
  • Patient Safety
  • Emergency Medicine

Background:

  • Medication safety is a critical concern in emergency departments (EDs).
  • Existing methods for presenting drug safety information in EDs are often paper-based and may be inefficient.
  • Electronic health records offer potential for improved medication safety interventions.

Purpose of the Study:

  • To enhance medication safety in the ED by improving the integration and presentation of drug therapy safety information.
  • To redesign the electronic case sheet and implement computer-assisted interventions into the ED workflow.
  • To evaluate the usability and acceptance of a new computer-assisted drug safety system.

Main Methods:

  • Redesigned electronic case sheet with a four-step alert system and tiered access to drug information.
  • Implemented computer-assisted interventions into the routine ED workflow.
  • Analyzed system usage over 6 months and surveyed physicians using the Technology Acceptance Model (TAM2).

Main Results:

  • The new system was implemented informally to minimize workflow disruption.
  • Step I ('valid indication') was used for 3% of drugs; Step II ('tooltip for drug risks') was used for 48%.
  • Physicians rated computer-assisted interventions as superior to paper-based methods in usefulness, work support, and information quality.

Conclusions:

  • A stepwise computer-assisted intervention system achieved positive user acceptance in the ED.
  • Varied utilization rates across intervention steps suggest a balance between providing necessary information and avoiding alert fatigue.
  • The system appears to effectively enhance medication safety without significant workflow intrusion in a critical ED environment.