[Ivein Clinic ]
The Arabic chatbot is itself a huge digital transformation that has been integrated with the Arabic Language to have a human conversation within the chatbot framework to navigate potential patients throughout the customer journey. This conversational chatbot carries the ability of automation such as natural language processing which helps Arabic speakers to understand solutions and their content in their language thus, making the whole process of service providers easy. Starting from appointment bookings to seeking doctors, everything can be integrated so that, more patients are inclined towards the usage of this platform and it reduces the workload of human labor. Interestingly, this chatbot is multilingual that is it can be directed to have conversations in any language.
Features and Benefits :
This chatbot is available 24X7 to support the patients thus, working as an all-time server.Integrates several efforts of marketing channels in one place that helps the healthcare organization to focus on other core areas of improvement.This works as a patient engagement tool that focuses on individual practices by delivering impactful and relevant content.Takes less human effort as healthcare solutions are automated in this chatbot thus, reducing the efforts of the healthcare organizations.Uses a conversational method specifically in Arabic that increases the engagement of the patients and generates a newer customer base.Asks relevant and logical questions in regard to minor and severe health conditions of the patients.Provides healthcare services immediately with just a few clicks even from a mobile device which makes the usage easy and robust.Saves overall cost and time for the healthcare industry to find new leads and provide them with relevant services.The Arabic chatbot works as a marketing automation software that carries a feature of appointment bookings and reminders for prospective patients.Builds trust in the patient's minds with service better than human-driven solutions thus, helping to retain patients.
