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.

Currently, overweight and obesity are two problems for global health that affect people’s quality of life. The Internet of Things (IoT) has raised the possibility of digital interaction taken to another level. This paper proposes design requirements to develop a mobile application that contributes to the control of overweight or obesity under the IoT approach, focusing on some approaches that currently exist in home-oriented health with the help of existing mobile applications. The idea of this concept is the presence of the environment of various interconnected things or objects with sensors, networking, and processing technologies integrating and working together to provide an environment in which smart services are taken to the end users. The IoT allows monitoring people in real time and analyzing information provided by mobile applications and smart devices (wearables) they have, through techniques of artificial intelligence that allow the identification of variables criticism and the generation of medical recommendations. The medical assistance model will change from the existing hospital-centric model that we commonly know to a totally home-centred health one, in which there will be less work intensity and operational cost. The home health service allows the use of IoT technology, very often called Internet of Healthcare Things (IoHT).