Abstract
Medication errors related to medication administration done by both doctors and nurses can be considered a vital issue around the world. It is believed that systematisation and the introduction of main documents are done manually, which might increase the opportunities to have inaccuracies and errors because of unexpected wrong actions done by medical practitioners. Experts stated that the lack of pharmacological knowledge is one of the key factors, which play an important role in causing such errors. Doctors and nurses may face problems when they move from one unit to another and the medication administration list has changed. However, promoting public health activities and recent AI-enabled applications can provide general information about medication that helps both doctors and nurses administer the right medication. However, such an application can require a lot of time and effort to search and then find a medication. Therefore, this article aims to investigate whether AI-enabled applications can help avoid or at least minimize medication error rates.
Highlights
Public health has made a significant impact on health populations, making people healthy and saving lives.erefore, healthcare remains one of the main areas of investment in AI-enabled applications and is rapidly evolving at present
According to the World Health Organization, medication errors (MEs) are conventionally defined as “any preventable event that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the health care professionals, patients, or consumers” [1]
Nurses spend approximately 40% of their time in hospitals administering medications to their patients [7]. e primary factor associated with MEs as perceived by nurses in the Kingdom of Saudi Arabia is that nurses are not familiar with the unit environment and the medications used in specific units [8, 9]
Summary
Public health has made a significant impact on health populations, making people healthy and saving lives. Many applications have attempted to solve these issues concerning medication knowledge by displaying medications in general, such as digitizing medication handbooks to provide comprehensive knowledge of medications. This solution provides excessive information, which was time-consuming. It does not fulfill the nurses’ needs for a quick review of the most common medications used in a specific unit [5]. Erefore, we propose a solution that helps nurses prevent ME when being transferred from one unit to another by providing prompt feedback on the requested medication. Is application provides the most commonly used medication in different units
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