Year: 2021

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Chatbots in Healthcare Boost Access to Care During COVID-19

Shortening of the English “chat” to converse and “bot” (robot), a chatbot is similar to a conversational agent. Concretely, it is a machine program, designed most of the time to perform a defined task. Its particularity lies in its capacity to interact in natural language with the user. Because unlike other electronic dialogue tools such as interactive voice servers, the chatbot enables them to show themselves more or less freely through a text or voice interface or sometimes even hybrid.

A chatbot with a textual interface will principally be obtainable from a smartphone or a computer. It can be a stand-alone appliance or integrated with a mobile app or a website. Communicating with “it” is very much like an SMS transfer, usually coupled with pre-defined question-and-answer series, in the case of a voice interface, which is described as a voice bot or voice helper. The user interacts by voice once the popular wake-up-word has been spoken to activate the program — the products produced by GAFAM such as Alexa from Amazon or the Google Assistant.

To give some historical benchmarks, which produced the very first chatbot in 1966. It is ELIZA, which we owe to MIT professor Joseph Weizenbaum. By reformulating the user’s messages in the form of questions, the program is designed to simulate a psychotherapist’s intervention. It should be noted in passing that the tale of chatbots is therefore closely connected to the health sector, and more particularly, to psychology. But the technology did not develop until the mid-1990s. In 2010, it became accessible to the general public with the very original voice assistant: Siri, integrated into Apple’s IOS. The other digital giants have immediately followed suit, and since 2016, we have observed a wild development of conversational technologies, all areas connected.

A market helpful to the development of conversational technologies

Fruit of technological development in the fields of automated natural language processing and artificial intelligence in special Machine Learning, based on machine learning algorithms, and Deep Learning, deep learning based on artificial neural networks, the chatbot is starting a phase of “sophistication.” It is slowly moving away from the simple outlines built-in decision trees that marked the origins of its development.

Its current success is inseparable from the growth of interfaces and other platforms hosting chatbots. Facebook’s Messenger Bot Store is the most impressive example because they make marketing less costly and, above all, less complex by making it feasible to do without computer coding.

Trending Bot Articles:

1. 3 Tips for your Voice and Chatbot Program from Gartner’s Customer Service Hype Cycle 2020

2. Deploying Watson Assistant Web Chat in Salesforce Lightning Console

3. Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

4. Your Path to AI — An IBM Developer Series

Also, the combination of chatbots at the heart of immediate messaging services makes them quickly accessible to billions of users every day. WeChat, Slack, Facebook Messenger, WhatsApp, or even Telegram, which today total no less than 5 billion active users per month, more than social networks.

It is this favorable ecosystem that mainly describes the quantitative and qualitative improvement of the chatbot offer. The user finds a chatbot device particularly adapted to the new hyper-connected lifestyles that value immediacy, communication, and unprecedented ease of access compared to mobile purposes or websites.

Robot Assistants

Not to mention that, as recognized by researchers, individuals show themselves willing to speak to robot assistants longer than to human beings and are also more inclined to share their most intimate confidences with them due to the absence of fear of judgment. If you want the best cure for impotence then take Fildena 100 or Cenforce 100. Giving real-time, personalized, and more “human” interaction, usually increased through users’ feedback, conversational communication is more favorable to engagement.

Therefore, it is simpler to understand that many investors and entrepreneurs from various sectors are involved in e-commerce, insurance, transport, etc. Hence, brands are investing heavily in conversational selling.

It looks that in health, this technology has developed more slowly than elsewhere, surely because of the highly organized nature of the sector and because of the chance involved. However, health is not left out because the organization and automation of jobs and requests are, too, a major problem.

The healthy chatbot: who, for whom, and for what?

The use cases in France are, for the time, few. It is why our mapping of real solutions extends beyond our borders, without any claim to be exhaustive.

What should note that currently, chatbots are overwhelmingly designed for patients’ potential or proven? Among the tools offered to healthcare professionals, let us quote pharmacology chatbots such as Posts and Synapse Medicine, designed by two French startups. Finally, some solutions are sometimes aimed at giving a free version for the general public and a paid version for professionals: this is the case of a North American chatbot training in women’s health, Dr. Chat.

Two distinct ways of cataloging use

In the answers offered to the common public and patients, the service given is fundamental, under penalty of seeing users lose interest instantly because of a need for relevance.

A first arrangement makes it possible to identify general chatbots from masterpiece chatbots.

Among the GENERALIST CHATBOTS, we can mention:

Sign checkers such as Buoy, MD, Gyant, SENSELY, or INFERMEDICA. Numerous and mainly given in North America and the United Kingdom, this kind of chatbot asks the patient a series of questions that provide a list of possible causes or conditions to be drawn up as they become more apparent. This pre-consultation stage can precede a practitioner’s position, or even a teleconsultation, or, in the case of good pathology, give self-care choices.

Like Florence Chat, personal health partners help patients achieve their treatment by reminders and alarms and encourage them to stick to their treatment protocol. Mabu, the health guide for seniors developed by IDEO and Catalia Health, also collects data on the patient’s progress and can alert their medical team when required.

The triage chatbot is programmed to deliver medical advice to optimize an emergency admission or telephone assistance service load. This is the case of a test conducted by the National Health Service in north London on a pool of more than one million people.

Incurable disease tracking chatbots are also very common. They are a member of a dual logic of observation and monitoring. Diabetes is a blood glucose monitoring tool for diabetic patients available in two versions, adults and children. CardioCube is a voice assistant that helps patients manage their chronic heart disorder and communicates in real-time with the hospital or clinic. They depend on facilitating and stimulating decision-making when required.

Oncology is an area in which chatbots give exciting prospects, mainly due to the collection of real-life data and the need to help patients and caregivers throughout therapy.

Don’t forget to give us your 👏 !

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Individual implementation of chatbots in healthcare was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Introducing bot templates for websites an easier, faster and fully flexible way to realize the full website’s potential and provide a better customer experience in the right place and at the right time.

Here at Botmakers, we believe that the right chatbot is an indispensable colleague for any business and that chatbots work not only for messaging platforms. Introducing WEB BOTS: simple, professional, high-conversion and code-free bot on your website that you can customize exactly as you need.

What are the benefits?

Self-sufficiency – web bots are free from Facebook and its Policy. In other words, they give freedom to website visitors from signing in with a Facebook account in order to interact with a bot (that’s what standard Messenger widgets installed on the site can’t brag about).

That means you significantly save your potential customer’s time which positively affects your conversions.

Imagine those who don’t have a Facebook account at all. In that case, a web bot might be your saving grace by letting visitors interact one-on-one with a bot on your website.

P.S. Facebook constantly changes Messenger platform privacy policies. You have to follow and keep your bot up-to-date otherwise your Business Facebook account might be blocked.

Trending Bot Articles:

1. 3 Tips for your Voice and Chatbot Program from Gartner’s Customer Service Hype Cycle 2020

2. Deploying Watson Assistant Web Chat in Salesforce Lightning Console

3. Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

4. Your Path to AI — An IBM Developer Series

Why use website bots?

The average conversion rate on a website generally sits in the ~1% range. One of the most effective ways we see web bots being used is to help potential leads who might not have converted without chat. Sometimes a quick question or a proactive offer to help can be the difference between average conversion rates and filling your pipeline full of qualified leads.

Another effective way of using web bots is to generate more qualified leads. With the help of a bot on your website, you can easily share valuable content with your website visitors. As an example, you can use a bot instead of a landing page and share your e-book, a PDF, or a coupon through the bot once a lead has given their email.

How web bot can fuel your website and your business?

1. Personalize the customer’s experience

• Web bots give an opportunity to identify website visitors and personalize their experience, that’s what chat widgets can’t cover as well.
• Using web bots you can have a specific bot on a specific website page.
• Web bot can deliver the right message for every visitor and every web page to engage them in a personalized way.
• You can see who your visitors are, where they came from, and how they interacted with a bot.

2. Get full control of your web campaigns

• With web bots, you can filter your campaigns by page URL.
• Filter by location – country and/or city.
• Filter by goals and completed campaigns.
• Filter your campaigns by referring websites.

3. Streamline your campaign performance

Web bots provide analytics so you can optimize your bots for high conversion rates with no hassle.

• Real-time reporting
• Campaigns and goals performance
• Conversion over time
• Impressions and Engagement charts

There are a couple more benefits of using website bots:

Creating a website bot is fast and the results are in. There’s zero programming in website bots to learn. The best bit? First web bot templates are already available with your Botmakers subscription! They are completely customizable, so you’re in control and can adapt your bot exactly as you need.

So, if you plan to use your bot for onboarding, collecting data from customers, collect payments, supporting or engaging in real-time – Website Bot is a good marketing investment!

We hope you’re as excited about website bots as we are! Get started with your Botmakers plan and get full access to all Botmakers Templates for Website (more and more templates are coming soon) and Facebook Messenger.

About the author

Eugene Smirnov is the Head of Templates Production at Botmakers with 3 years of experience in the business.

Contributor at Chatbots Magazine, Chatbots Life, Chatbot Tutorials chatbot media.

Eugene eventually reads every response on Medium. You can chat him up on LinkedIn or email at eugene@botmakers.net if you have any related questions.

Don’t forget to give us your 👏 !

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Website Bots: A New Template Category Launches On Botmakers was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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React JS is a popular web framework for creating user interfaces. The Facebook-owned framework is becoming hugely popular among developers. The reason being — Great documentation, developer friendliness and it is faster than most of the similar frameworks such as Angular.

In this post, we will be going through step by step procedure of integrating Dialogflow bot in React JS websites.

Prerequisites

To get started, you would need a Dialogflow bot or working knowledge of Dialogflow and React JS. To integrate the chatbots with React JS, you will need a Kommunicate account. All the aforementioned tools have free to try out. Additionally, Node should be installed in your system.

Steps to integrate Dialogflow bot in React JS websites

I am going to explain how I connected Dialogflow and React JS with the help of Kommunicate.

Note: To keep it very simple and straight this tutorial explains with really basic and plain code development. Also to mention, this project can be found on my Github.

Step 1: Create your Dialogflow bot

To get started, you can easily create a chatbot in Dialogflow. It is a very intuitive yet powerful chatbot building tool. Here’s a sample available to help you get started with your Dialogflow bot. To go further, you can create your own Intents & Entities.

Trending Bot Articles:

1. 3 Tips for your Voice and Chatbot Program from Gartner’s Customer Service Hype Cycle 2020

2. Deploying Watson Assistant Web Chat in Salesforce Lightning Console

3. Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

4. Your Path to AI — An IBM Developer Series

Step 2: Integrate Dialogflow chatbot with Kommunicate

To integrate your Dialogflow bot in Kommunicate, log in to your Kommunicate dashboard and navigate to the Bot section. If you do not have an account, you can create one here. Locate the Dialogflow section and click on Integrate Bot.

Now, navigate to your Dialogflow console and download the service account key file. Here are the steps to locate the file:

1. Select your Agent from the dropdown in the left panel.
2. Click on the Settings button. It will open a setting page for the agent.
3. Inside the General tab search for GOOGLE PROJECTS and click on your service account.
4. After getting redirected to your SERVICE ACCOUNT, create a key in JSON format for your project from the Actions section and it will get automatically downloaded.
5. Now upload the Key file.

In the bot profile section, you will be able to give your bot a name. This name will be visible to the users whenever they interact with the bot. Process further and fill the details.

In the last step, you will be asked to enable or disable the chatbot to human handoff. If enabled, the conversation will be passed on to a human in case the chatbot is not able to answer the question.

Complete the setup and then you can check and test your newly created bot in two places:

1. Dashboard →Bot Integration → Manage Bots: You can check all your integrated bots here
2. Dashboard → Bot Integration: Your Dialogflow icon should be green with the number of bots are you have successfully integrated. You will also have the option of testing your newly created bot here. (See image below)

Step 3: Create a React app

Create a new React app (my-app) by using the command:

npx create-react-app my-app

Step 4: Now, navigate to the my-app folder

cd my-app

Step 5: Create new file chat.js inside src folder

Once you create the chat.js, add the below code in componentDidMount. The below code will launch a chat widget on your website with the integrated Dialogflow bot. Make sure to replace <YOUR_APP_ID> with your Kommunicate application ID.

You can get this code in the install section of Kommunicate as well.

(function(d, m){
        var kommunicateSettings = {"appId":"<YOUR APP_ID>","popupWidget":true,"automaticChatOpenOnNavigation":true};
        var s = document.createElement("script"); s.type = "text/javascript"; s.async = true;
        s.src = "https://widget.kommunicate.io/v2/kommunicate.app";
        var h = document.getElementsByTagName("head")[0]; h.appendChild(s);
        window.kommunicate = m; m._globals = kommunicateSettings;
      })(document, window.kommunicate || {});

Here’s a screenshot of my code editor for the same:

Step 6: Import KommunicateChat component in App.js

Import the KommunicateChat component in your App.js file. Here’s the screenshot of my code editor:

Step 7: Start your app locally

Use the following command to start your newly created website with the installed Dialogflow bot.

npm start

Voila! How simple was that? In these few simple steps, you could integrate Dialogflow bot in React JS websites. This is how the chat widget looks on a website:

Wrapping Up

It is fairly simple to have a rich text enable chat widget with Dialogflow bot in your React JS websites. You can further customize the chat widget to match your website colors and theme.

Don’t forget to give us your 👏 !

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Integrate Dialogflow Bot in React JS Websites was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.