How Eniax manages to keep a patient informed and committed to their treatment and consultations

Informing patients with NLP AI

laptop computer on glass-top table

Photo: Carlos Muza

The ways in which clinics are engaging patients and informing them about their healthcare journey are being revolutionized with the use of natural language processing AI such as Patricia provided by Eniax. Eniax uses several advantages brought by Patricia which allow clinics to actively and effectively inform patients. In this article, we explore how this is exactly achieved.

Highly personalized communication with patients

To keep patients engaged in their overall healthcare journey, highly personalized communication is necessary. A virtual health assistant AI such as Patricia by Eniax has the ability to use machine learning and natural language processing to analyze various patient data, patient medical history, response time, and preferences in order to form the best possible communication that is specific to each patient's needs. AI can thus ensure that patients receive all of the necessary information not only in a timely manner but also relevant to their specific needs. Of course, the personalized approach to communication with patients instantly results in more active participation and engagement which means patients stay committed to their treatment and consultations.

Notifications and reminders sent in a timely and effective manner

To notify patients of any kind of rescheduling or further consultations, medical centers need to have an organized system that can deliver this information on time. With the use of AI, patients can receive all of this from the comfort of their homes and at any time. Therefore, timely reminders and notifications of future appointments, medication schedules, and follow-up consultations delivered through AI using SMS, WhatsApp, or a similar digital platform can reduce the likelihood of missed appointments, no-shows, and long waiting times. Overall healthcare outcomes are improved this way.

Constant support and 24/7 availability

One of the greatest advantages brought by AI in healthcare is increased accessibility and constant availability. AI such as Patrica can function 24/7 and thus constant support is provided to patients. Unlike contact centers, for example, patients can engage with AI at any moment and with no waiting times. AI can handle an incredible number of traffic and virtual health assistants such as Patricia enable access to reliable information that is always available to patients. With such increased accessibility, patients feel supported and cared for throughout their healthcare journey.

Emotional support and empathy through natural language processing

Using NLP technology, virtual health assistants do not merely communicate with patients like regular chatbots but rather have the ability to maintain fluid and personalized communication with patients. AI systems such as Patricia are built with various emotional support features including empathy and this allows such AI to better understand patients' needs and also understand the various specific needs of each patient. Understanding emotional states is essential for providing emotional support. Patients feel valued, listened to, and cared for when communicating with virtual health assistants such as Patricia thus medical centers reinforce their relationships with patients and strengthen their commitment.

In summary

To conclude, NLP AI technology such as the one provided by Eniax in the form of Patricia, provides incredible benefits that are innovative and proactive and enable active engagement and communication with patients like never before. Some of the major benefits are personalized communication, timely reminders, access to reliable information, continuous support, interactive engagement, and emotional support all of which impact patients' medical journey, make it more enjoyable, and accessible, and increase patient satisfaction but also the efficiency of the overall medical center operation.

© Mladen Petrovic - https://eniax.care