Published Paper Details:

This paper is an in-depth exploration of virtual health assistants (VHAs); AI integrated platforms capable of monitoring patients on health related issues. VHAs make use of advanced algorithms and natural language processing to give customized advice and support to persons mostly through conversational interfaces such as chatbots or virtual assistants [1]. For instance, an HVA can remind the patient to take their medication, provide information about their condition or treatment plan, monitor their symptoms or vital signs, and even recommend nutrition, sleep, or physical activity patterns customized to their own needs. Such VHAs momentarily contribute to patients' participation and outcomes because they supply life support and motivation beyond usual healthcare locations. Such as patients having chronic illnesses like diabetes and hypertension can gain through regular interactions with an eHealth assistant (eHealthA) that helps them to check on their condition, adhere to their treatment plan, and make well-calculated decisions on their general lifestyle. Second, VHAs help to improve healthcare access because they become a source of immediate help and resources [1]. However, most of the people live in the areas that do not have resources, anyway VHAs can serve as effective and on-demand assistance providers. Furthermore, VHAs improve patients ' engagement and healthcare access by automating routine tasks, communication with consumers, and collecting data for decision making. In this context, an integrated VHA into a primary care service can help with appointment setting, triage, and give educational materials to patients, thus making the physicians to align their focus on complex cases or prevention initiatives.