Usefulness of drug allergy alert systems: present and future
Purpose of Review The goal of this paper is to review drug allergy alert systems (DAAS), to summarise their key components, and to overview potential benefts and challenges associated with these tools. Methods for validation of their effects on patient safety, alternative uses, and strategies to s...
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Format: | info:eu-repo/semantics/article |
Language: | eng |
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2024
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Online Access: | https://hdl.handle.net/10171/68495 |
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author | Quan, P.L. (Paola Leonor) Sánchez-Fernández, S. (Sergio) Parrado-Gil, L. (Lucía) Calvo-Alonso, A. (Alfonso) Bodero-Sánchez, J.M. (José Miguel) Ortega-Eslava, A. (Ana) Luri-Fernández-de-Manzanos, M. (Marta) Gastaminza, G. (Gabriel) |
author_facet | Quan, P.L. (Paola Leonor) Sánchez-Fernández, S. (Sergio) Parrado-Gil, L. (Lucía) Calvo-Alonso, A. (Alfonso) Bodero-Sánchez, J.M. (José Miguel) Ortega-Eslava, A. (Ana) Luri-Fernández-de-Manzanos, M. (Marta) Gastaminza, G. (Gabriel) |
author_sort | Quan, P.L. (Paola Leonor) |
collection | DSpace |
description | Purpose of Review The goal of this paper is to review drug allergy alert systems (DAAS), to
summarise their key components, and to overview potential benefts and challenges associated with these tools. Methods for validation of their effects on patient safety, alternative
uses, and strategies to streamline DAAS’ functions and reduce system fatigue are discussed.
Recent Findings DAAS are clinical decision support systems (CDSS) that focus on preventing
drug adverse events within healthcare settings. The advent of electronic medical records
has facilitated the development of digital DAAS. Existing versions use different methods
to document diagnosed allergies, and rely on distinct rules and matching strategies for
the generation of real-time alerts. DAAS promote the automation of several processes, facilitate prompt patient referral, and may be customised. Information overload, alert
overrides by clinicians, and the development of “alert fatigue” may interfere with their
usefulness. The newest strategies to streamline the function of DAAS include the use of
artifcial intelligence (AI) and other predictive techniques.
Summary The rising prevalence of drug allergies underscores the importance of effective
DAAS. Further research is needed to evaluate their usefulness, to optimise their performance, to explore different algorithms and data sources, and to enhance the standardised
integration of these systems into clinical practice. |
format | info:eu-repo/semantics/article |
id | oai:dadun.unav.edu:10171-68495 |
institution | Universidad de Navarra |
language | eng |
publishDate | 2024 |
publisher | Springer |
record_format | dspace |
spelling | oai:dadun.unav.edu:10171-684952024-01-29T06:04:53Z Usefulness of drug allergy alert systems: present and future Quan, P.L. (Paola Leonor) Sánchez-Fernández, S. (Sergio) Parrado-Gil, L. (Lucía) Calvo-Alonso, A. (Alfonso) Bodero-Sánchez, J.M. (José Miguel) Ortega-Eslava, A. (Ana) Luri-Fernández-de-Manzanos, M. (Marta) Gastaminza, G. (Gabriel) Drug allergy alert systems (DAAS) Clinical decision support systems (CDSS) Adverse drug events (ADE) Patient safety outcomes Alert fatigue Purpose of Review The goal of this paper is to review drug allergy alert systems (DAAS), to summarise their key components, and to overview potential benefts and challenges associated with these tools. Methods for validation of their effects on patient safety, alternative uses, and strategies to streamline DAAS’ functions and reduce system fatigue are discussed. Recent Findings DAAS are clinical decision support systems (CDSS) that focus on preventing drug adverse events within healthcare settings. The advent of electronic medical records has facilitated the development of digital DAAS. Existing versions use different methods to document diagnosed allergies, and rely on distinct rules and matching strategies for the generation of real-time alerts. DAAS promote the automation of several processes, facilitate prompt patient referral, and may be customised. Information overload, alert overrides by clinicians, and the development of “alert fatigue” may interfere with their usefulness. The newest strategies to streamline the function of DAAS include the use of artifcial intelligence (AI) and other predictive techniques. Summary The rising prevalence of drug allergies underscores the importance of effective DAAS. Further research is needed to evaluate their usefulness, to optimise their performance, to explore different algorithms and data sources, and to enhance the standardised integration of these systems into clinical practice. 2024-01-23T13:37:27Z 2024-01-23T13:37:27Z 2023 info:eu-repo/semantics/article https://hdl.handle.net/10171/68495 eng info:eu-repo/semantics/openAccess application/pdf Springer |
spellingShingle | Drug allergy alert systems (DAAS) Clinical decision support systems (CDSS) Adverse drug events (ADE) Patient safety outcomes Alert fatigue Quan, P.L. (Paola Leonor) Sánchez-Fernández, S. (Sergio) Parrado-Gil, L. (Lucía) Calvo-Alonso, A. (Alfonso) Bodero-Sánchez, J.M. (José Miguel) Ortega-Eslava, A. (Ana) Luri-Fernández-de-Manzanos, M. (Marta) Gastaminza, G. (Gabriel) Usefulness of drug allergy alert systems: present and future |
title | Usefulness of drug allergy alert systems: present and future |
title_full | Usefulness of drug allergy alert systems: present and future |
title_fullStr | Usefulness of drug allergy alert systems: present and future |
title_full_unstemmed | Usefulness of drug allergy alert systems: present and future |
title_short | Usefulness of drug allergy alert systems: present and future |
title_sort | usefulness of drug allergy alert systems: present and future |
topic | Drug allergy alert systems (DAAS) Clinical decision support systems (CDSS) Adverse drug events (ADE) Patient safety outcomes Alert fatigue |
url | https://hdl.handle.net/10171/68495 |
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