What Is The Use Of Conversational AI In Healthcare?

As per a survey by Oracle in 2017, 80% of business respondents were already using or planned to use AI chatbot by 2020.

These interactive platforms that communicate in a human-like manner offer several benefits — the biggest being round-the-clock availability on email, SMS, live chat, and apps.

With the increased popularity of chatbots, the technologies powering them – namely NLP, AI, and machine learning- are being refined.As a result, chatbots will increasingly be able to hold conversations like humans instead of providing bland cardboard responses because they are designed to understand the nuances of human languages.2.

Data-driven customer insightsThe great thing about AI chatbots is that they can make notes, a.k.a, collect data while they are holding conversations or immediately after it.

Automated supportThis trend will be most apparent in call centers where the employees’ main job is to provide customer support and address customer requests 24*7.

Messenger botsCalls aren’t conducive at all times, and email conversations can stretch out over days, which is why 68% of consumers prefer messaging as the go-to way for staying in touch with a business.

One of the major roadblocks that an organization faces is PLM complexity.

PLM users need time to adapt to a new system or feature and require constant and quick real-time support in case of difficulties.

Conventional means of emailing/ticketing systems take a lot of time and may discourage users as well as result in costly business hours.One way to solve the problem is automation where PLM users won’t get into the hassle of using their valuable time in raising tickets or waiting in the ticketing queue to get their errors resolved.

What users need today is a more personalized tailor-made approach and, what better way than a CHATBOT – an informal and immediate way of contact to service these users.

Chatbots are everywhere, being the fastest growing communication channel, with a 92% increase in usage since 2019.For more details visit here.

Chatbot development with Dialogflow facilitates meaningful interactions across platforms and devices while supporting multiple languages.

The ease of using Dialogflow is making it a breakthrough framework among the providers of chatbot development services.

we are focusing on Dialogflow Console that combines AI development services to render a healthcare chatbot.

The chatbot runs on machine learning development services to map user expressions with pre-defined intents with over 80% accuracy achieved. 

Chatbots are used for various applications in healthcare industry.

Patient data contain personal, private, or confidential information and requires strict safeguards to prevent its misuse.

This is a very difficult task as most AI-based platforms are consolidated and require extensive computing power owing to which patient data, or part of it, can be required to reside in a vendor’s data set.Growing usage of healthcare chatbots by clinicians and hospitals to increase their patient engagement rate, are driving the growth of the healtchcare chatbots market.PatientsPatients are the largest end users of healthcare chatbots.

Healthcare chatbots interact with potential patients visiting a site, provide a possible diagnosis, help find specialists, schedule appointments, and improve access to the right treatments.

Healthcare providers need to identify diseases and analyze a large amount of healthcare information to make critical decisions.

In an effort to improve the quality of care and reduce costs, healthcare providers are increasingly turning to IT-enabled strategies and software for the appropriate identification of diseases and better treatment alternatives.

Senseforth is an AI solutions provider.

Provides Conversational AI platform to all industries, powers pre-built, omnichannel, and platform-independent bots.