Improving Drug Administration in hospitals through Artificial Intelligence. An Umbrella Review
Forkuo, Samuel Asare (2025)
2025
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025121536782
https://urn.fi/URN:NBN:fi:amk-2025121536782
Tiivistelmä
Abstract
Background: This thesis explores how Artificial Intelligence can be used to improve drug administration in hospitals and ensuring the avoidance of medication errors.
Aim: The sole aim is to find out how AI could effectively be integrated into medication administration by identifying key technological advancements and their impact on medication errors and workflow.
Method: This study is grounded in an umbrella review of scientific literature, which highlighted the transformative potential of AI technologies in enhancing patient safety and operational efficiency within hospitals. Scientific articles sourced from databases such as PubMed, EBSCO, CINAHL, and MEDLINE that were published between 2018 and 2025 were reviewed.
Results: The results revealed that AI technologies such as electronic prescribing strategies, AI-Based medication management, algorithms in primary care, cloud computing, among others, can help in ensuring medication errors are avoided by complementing the efforts of healthcare professionals in hospitals.
Conclusion: The lack of knowledge of these technologies, as well as resistance from healthcare professionals, could hamper the efficiency of these technologies, while overreliance can raise ethical issues. Therefore, this study advocates for a cautious approach in the implementation of AI in hospital settings.
Background: This thesis explores how Artificial Intelligence can be used to improve drug administration in hospitals and ensuring the avoidance of medication errors.
Aim: The sole aim is to find out how AI could effectively be integrated into medication administration by identifying key technological advancements and their impact on medication errors and workflow.
Method: This study is grounded in an umbrella review of scientific literature, which highlighted the transformative potential of AI technologies in enhancing patient safety and operational efficiency within hospitals. Scientific articles sourced from databases such as PubMed, EBSCO, CINAHL, and MEDLINE that were published between 2018 and 2025 were reviewed.
Results: The results revealed that AI technologies such as electronic prescribing strategies, AI-Based medication management, algorithms in primary care, cloud computing, among others, can help in ensuring medication errors are avoided by complementing the efforts of healthcare professionals in hospitals.
Conclusion: The lack of knowledge of these technologies, as well as resistance from healthcare professionals, could hamper the efficiency of these technologies, while overreliance can raise ethical issues. Therefore, this study advocates for a cautious approach in the implementation of AI in hospital settings.