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Healthcare Chatbots: Innovative, Efficient, and Low-cost Care

A new report from Juniper Research has found that annual cost savings derived from the adoption of chatbots in healthcare will reach $3.6 billion (€3.04 billion) globally by 2022, up from an estimated $2.8 million (€2.36 million) in 2017. This growth will average 320% per annum, as AI (artificial intelligence) powered chatbots will drive improved customer experiences for patients.- IoTnow

Experts believe that medical chatbots will play an important role in the healthcare industry soon. While the world is facing the problem of information overload, bots can help in segregating good and bad/right and wrong data. Healthcare chatbots solve the most pressing medicine industry problems-

  1. Accessibility: The human workforce might not be available in every vital situation. But bots are. Thus making appointments and scheduling simple.
  2. SOS: Healthcare chatbots can also act as an alarm in the instances of life-threatening symptoms as described by the patients. 
  3. Customization: Bots with NLP capabilities can understand voice and text-based queries efficiently. This is especially helpful for people with visual or speech impairments. 
  4. Integrations: Chatbots are compatible with IoT devices like Google Home, Alexa, etc. 
  5. Personalization: Patient-specific bots can place a call, advise first-aid, and even send notifications/messages to physicians. 

Before we delve deep into medical chatbots, let’s quickly look at what exactly is a chatbot.

Chatbots Brief History

The first-ever computer program that could communicate with humans was Eliza, developed by MIT in 1966. Subsequently, with programs passing Turing tests, e-commerce, messaging, healthcare, and other enterprises indicated a deep interest in using chatbots.

A chatbot is an artificial intelligence program that can interact, respond, advise, assist, and converse with humans. It can mimic a two-way communication between two individuals. In the initial phases of chatbot implementation, tasks like — scheduling an appointment and answering fundamental queries, were accomplished. Today, the scope of chatbots is much broader with recommendations, references, diagnosis, and even preliminary treatments.

Snapshot of Your.MD healthcare chatbot illustrating the services it provides

How are Medical Chatbots Reshaping the Healthcare Industry?

Chatbots can help in improving Patients’ engagement and experiences with the hospital/physician. The following are the proven benefits of healthcare chatbots.

Accessible Anytime and Anywhere

Today, it is possible to embed chatbots on websites, mobile apps, and even third-party apps like Facebook and WhatsApp. There’s no need for downloading them explicitly and registration/activation. For instance, Religare, a leading health insurer has its chatbot integrated into WhatsApp

Generally, hospitals and other healthcare organizations provide chatbot in-built in their app. Apart from usual support, it also helps to secure your medical records in one place. This record can also be shared with the doctor whenever it is required.

There are mental health and therapy chatbots available that provide continuous support to patients with mental illness, depression, or sleeplessness. Wysa — a mental therapy chatbot is one such example. 

Chatbots for SOS (Emergency Alarms)

During the instances of life-threatening events/symptoms, chatbots can help in raising alarm automatically. For example, if a person who complains about chest pain does not respond to messages within a stipulated time, an emergency call made by the bot to healthcare/family/friends might help in attending the needful.

Customization

Organizations can customize chatbots to decipher different languages, voice accents, and text patterns. With different modes of conversations, chatbots can simplify communications. For instance, for a person with a visual disability, computer vision could be altered. For people with speech problems, chatbots with NLP capabilities can be beneficial. 

Another remarkable development in chatbots that we’re going to witness soon is that of Emotion AI. Soon the bots would be able to understand the user’s emotions based on text, voice, or sentence structure. This feature will be a great help for understanding the sentiments of people suffering from depression or any other kind of mental illness.

Integration with Different Platforms and Personalization

Because of their omnichannel nature, one can easily integrate bots with the web, mobile, or third-party apps, and APIs. They can even work with voice assistants like Alexa and Google Home. With seamless integration, a bot can place a call, advise you on first aid, analyze your medical history and send notifications to your doctor.

Voice-enabled chatbots and multilingual chatbots are disrupting the way customers engage with chatbots. Voice-enabled chatbots increase accessibility and speed up the query process, as the user does not have to type. More than 70% of Indians face challenges while using English keyboard, and approximately 60% of them find the language to be the key barrier in adopting digital tools. Vernacular language support can personalize the services for native users and make the whole process of maintaining medical records a lot easier. For instance, to automate help desk tasks and respond to customer queries, voice-driven chatbots can be integrated.

Indian chatbots like Hitee (designed for Indian SMEs) support several Indian regional languages including Hindi, Tamil, Bengali, Telugu, Gujarati, Kannada and Malayalam.

Video conferencing chatbots can be used by private clinics and healthcare practitioners to converse with their patients.

5 Popular AI Healthcare Chatbots

  1. mfine: It is a digital health platform for on-demand healthcare services. It offers online consultation (text, audio, video), medicine delivery, follow-ups, and patient record management services.
  2. Wysa: Developed by Touchkin, Wysa is AI-powered stress, depression, and anxiety therapy chatbot. It helps people practice CBT (Cognitive Behavioral Therapy) and DBT (Dialectical behavior therapy) techniques to build resilience. For additional support, it connects people with real human coaches.
  3. Mediktor: It is an accurate AI-based symptoms checker with great NLP (Natural Language Processing) capabilities.
  4. ZINI: It provides every user with a Unique Global Health ID that can be used for managing one’s healthcare information all over the world. It also creates an emergency medical profile for the patient for urgent medical requirements.
  5. Your.MD: It provides personalized information, guidance, and healthcare support. With an in-built symptom checker, vast medical database, health plans, and journals, it is a certified application for digital healthcare support.

To know more about how AI is innovating the healthcare industry in bringing the digital health era, check out our webinar on ‘Digital Health Beyond COVID-19: Bringing the Hospital to the Customer’ on our YouTube channel.

We specialize in building custom AI-powered chatbots specific to your business requirements. Feel free to drop us a word at hello@mantralabsglobal.com to know more.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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