ChatGPT Fees
All content submissions are required upfront.
| Service | Set Up (inc GST) | Support Fee |
|---|---|---|
| AI Chat Setup | $220 | - |
| AI Chat Subscription | - | $33 per mth (min 6 mth) |
Subsequent content submissions if required may incur an hourly rate.
About Medical Content AI ChatBots
Engage more visitors by adding an interactive and useful information device to solve patients problems.
The Medical Content AI ChatBot enables practices to create patient engagement devices that understand complex queries and provide accurate and relevant responses to help increase patient satisfaction, loyalty, and retention.
A Medical Content AI Chatbot is trained using trusted data sources like websites, documents, image, videos and is personalised with your own prompts, colours and branding.
Efficiency: CustomGPT helps you save time and resources by automating tasks and processes that would otherwise require human intervention. This can improve productivity, performance, and profitability.
Practices or Businesses that benefit from Conversational AI chatbot have websites where their visitors Powerful capabilities uses OpenAI's GPT-4 technology to understand complex patient queries and provide accurate and relevant responses.
ChatGPT AI Benefits for Doctors
This means that your chatbot can learn patient preferences and needs over time and expand the relationship.
- Have to consider different attributes in their selection process
- Require “compare and contrast” related queries
- Face complex decision pathways
- Appreciate recommendations based on their preferences.
- Seek assistance with completing tasks within a set framework
- Input information using images or audio.
AI-driven ChatBots use one of the most advanced natural language processing models that means your chatbot is empowered by
- natural language processing,
- natural language understanding,
- machine learning,
- deep learning, and
- predictive analytics.
Medical Content AI ChatBot Setup
To train the AI System to understand your practice and patients we need to set the ChatBot up to provide personalised and accurate responses to various inquiries. The ChatBot can also incorporate your branding and other personalisation elements.
How Long Does it Take to Train AI-ChatBot?
We upload your data to build your chatbot by ingesting the information you provide into our system.
The duration required to upload and train the ChatBot will depend on the amount of your content.
Typically this can be performed
within one business day.
Your Data Sources
You can provide content sources or data from:
- Website Sources - we index the sitemap and content and are periodically updated
- Documents - we index MS Office, Google Docs, PDFs, Audio & Video Files. Our bot can access +1400 data sources.
Your Branding
We can customise the bot aligned with your branding identity to offer a seamless user experience for your users. We require:
- Logo and Background-colour (HEX Code), and
- ChatBot Avatar - Image
Your Data Types
Common types of practice information and data sources supplied include:
- Websites - your websites, competitors, associations and colleges, and suppliers' sites,
- Documents - policies, procedures, content, documents, FAQ or knowledge base, helpdesk, manuals, videos, podcasts
Your Access Codes
We can supply the following access points
- Website - HTML embed code
- LiveChat - HTML embed code
- API Link - Integration key
Language Selection
We set up your chatbot language the chatbot uses to respond. The default is Engish but if another language is required, please advise. At this time, we support 92 languages, including
Arabic, Awadhi, Azerbaijani, Bashkir, Belarusian, Bulgarian, Bhojpuri, Bengali, Bosnian, Catalan, Mandarin, Czech, Welsh, Danish, German, Dogri, Greek, English, Spanish, Estonian, Basque, Persian (Farsi), Finnish, Faroese, French, Irish, Galician, Gujarati, Hindi, Chhattisgarhi, Croatian, Haryanvi, Hungarian, Armenian, Indonesian, Italian, Japanese, Javanese, Georgian, Kazakh, Kannada, Korean, Konkani, Kashmiri, Kyrgyz, Lithuanian,
Latvian, Maithili, Montenegrin, Macedonian, Mongolian, Moldovan, Marathi, Malay, Maltese, Marwari, Min Nan, Nepali, Dutch, Norwegian, Oriya, Punjabi, Polish, Pashto, Portuguese, Brazilian Portuguese, Rajasthani, Romanian, Russian, Sanskrit, Santali, Sindhi, Sinhala, Slovak, Slovenian, Albanian, Serbian, Swedish, Swahili, Tamil, Telugu, Tajik, Thai, Turkmen, Turkish, Tatar, Ukrainian, Urdu, Uzbek, Vietnamese, Wu, Cantonese (Yue)
Medical Content AI Elements
Our Medical Content AI allows
AI-ChatBot Set Up
$220 initial fee
- Data Sources - up to 10 websites, 15 documents
- Restrict or Include the ChatGPT datasets
- Set-up - branding, prompt, language, citations
- Sharing - website code, live chat code,
- API Links - supply integration code
AI-ChatBot Subscription
$33 per mth (min 6 mth)
- ChatGPT large language data access
- 1000 pages with 10 million words of content
- 500 queries/month
- Secure Data Hosting via AWS
- Support Services via Basecamp *
* After setup, any further content submissions or content scoping changes will be charged at a rate of $66 per 30 minutes.
Other General AI Applications for Medical Practices
AI-driven ChatBots are highly efficient for service providers offering various services, complex decision processes or changing environments.
What is Conversational AI?
Chatbots are computer programs that can talk to you, introduce themselves, ask you questions, receive your answers, and provide you with a solution.
Conversational AI is the name for AI technology tools behind conversational experiences with computers, allowing them to converse ‘intelligently’ with humans. Conversational AI allows for a more organic conversation flow leveraging natural language processing and generation technologies.
Conversational AI is the umbrella term for all chatbots and similar applications facilitating communication between users and machines like ChatGPT.
Where Can Chatbots Be Used?
ChatBots can be applied in education, B2B relationships, governmental entities, mental healthcare centres, and HR departments, amongst many other fields. Chatbots can automate responses by fetching answers from databases.
route inquiries to human agents, address patient queries, make sales and generating leads, and generate meaningful conversations with users (e.g. mental healthcare chatbots or emotional chatbots)
How Does ChatBot AI Work?
Conversational AI applications rely on different technologies, such as
- Learn at scale: By feeding off various sources (e.g. websites, databases, APIs), conversational AI not only can provide you with a larger domain of answers but can modify the output based on information updates.
- Autonomous Update: Leveraging machine learning algorithms that train continuously allows for automatic updates.
- Personalised Answers: Conversational AI keeps users’ data and can use historical data to make user interactions smoother and more personalised.
- Personalised Answers: Conversational AI keeps users’ data and can use historical data to make user interactions smoother and more personalised.
- Adapt To Specific Inputs: To provide conversational AI with contextual elasticity to conduct fluid interactions with specific references to your content. As well as adapt mid-conversation to different queries.
- Speak 92 Languages: Conversational AI systems, trained using multilingual data, can work simultaneously in different languages while sharing the same overall logic and integrations.
Legacy Chatbots and Conversational AI?
Managers might have difficulty choosing between a chatbot or a conversational AI application for their practice because both can receive commands and provide answers. Whereas all conversational AI applications are chatbots, not all use conversational AI to the same degree, and that is because chatbots’ specifications vary concerning the field in which they are used.
Legacy Chatbots primarily use natural language text interfaces constructed via pre-determined guidelines. This setup requires specific request input and leaves little room for the bot to do anything different than it’s programmed. Unless the programmer updates or changes the foundational codes, every interaction with a chatbot will, to some extent, feel the same.
Conversational AI, on the other hand, combines sentiment analysis, user intent recognition, and continuous machine learning to enable the software to understand requests and questions which still need to be programmed and answer them by leveraging both structured and unstructured data in the business database. Thus, conversational AI can improve its functionality as user interaction increases.
Legacy chatbots function by a predefined flow, whereas conversational AI ChatBots can learn and intelligently update over time.
Here we explain the differences between chatbots and conversational AI, look at what each one does, and review some of their use cases to help you decide which fits your practice best.
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