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CX Trends for Healthcare In India, 2022

Deloitte study shows, that only 34% of consumers believe they get the information they need in virtual settings, and 56% believe they don’t get the same level of service. This created an opportunity for healthcare providers to rethink and improvise their practices to better connect with patients on their preferred channel and provide them with information and more personalized care.

Patients’ perceptions of healthcare services have shifted recently, prompting healthcare professionals to adapt to the latest technologies in order to improve the current healthcare infrastructure. Utilizing Metaverse’s virtual environment, AI, IoT devices, and collaborating with the government’s own NDHM are the latest trends in healthcare.

Let’s take a closer look at how these trends are being used to improve the entire consumer experience.

Artificial Intelligence 

Artificial intelligence (AI) is one of the major trends driving healthcare’s digital transformation. Diagnostics, academics, therapy courses, and other fields of healthcare have already implemented it. However, continuous R&D is being done to explore more possibilities for implementing AI technologies in Healthcare.

Currently, AI has proved to be very useful in diagnosing and treating diabetic retinopathy which is a major cause of blindness in India due to the huge diabetic population. For example, Netra.AI, an AI platform, can identify a healthy retina from an unhealthy one with the help of AI algorithms making use of specialized low-powered microscopes with cameras attached to them. Quickly generated reports on this platform enable optometrists to provide instant counsel to patients needing a referral to the hospital.

Computer Vision technology integrated within Conversational AI bots and virtual assistants helps medical professionals to diagnose certain diseases via remote counseling. Many experts are researching how to make the most out of Computer Vision in the field of cancer detection, surgery, and dermatology.  

Read more about how Computer Vision is transforming healthcare.

NDHM

The National Digital Health Mission with the help of the United Health Records system aims to address the lack of coordination between healthcare providers, payers, and patients. UHR brings together the electronic medical records of a patient and, most importantly, data from a cohort of different online and offline touchpoints frequented by patients. Furthermore, each person will be given a unique health ID that may be linked to the health IDs of their entire family to provide a complete picture of their medical history.

NDHM will help patients and healthcare professionals by improving longitudinal health record management and making it easier to store and share health records. Patients will be able to browse nearby healthcare providers while on the road. The NDHM framework’s features will go a long way toward ensuring that the Indian healthcare industry has a consistent experience.

Metaverse

Virtual Reality, Augmented Reality, Mixed Reality, AI, and digital currencies are all part of the Metaverse. It’s a web-based collection of interconnected locations. The metaverse is the result of the convergence of three major technological trends: telepresence (which allows people to be together virtually even if they are physically separated), digital twinning, and blockchain (which allows us to create a distributed internet), all of which have the potential to impact healthcare. Together, they have the ability to open up new channels for delivering treatment, lowering costs, and significantly improving patient outcomes.

Apollo Hospitals Group has partnered with 8chili Inc, a deep-tech start-up based in California, to enable patient involvement in the metaverse. Virtual reality (VR) will be used to provide pre/post-operative patient counseling, increasing patient involvement and offering skill mastery for hands-on training for healthcare staff.

IoT and Wearables

In the recent couple of years, wearable technology has become increasingly popular amongst urban populations for health and wellness tracking. Patient monitoring for chronic illness as well as post-op care has become easier for healthcare professionals through IoT devices and wearables. Some IoT solutions use artificial intelligence (AI) to offer clinicians early warnings based on a patient’s vital signs. Many healthcare startups such as Health Care At Home India Pvt Ltd (HCAH) are working towards setting up home ICU units and other treatment infrastructure that can monitor patients’ vital parameters thus enabling a proactive approach to treatment review and modification.

To keep track of patients recovering from high-risk treatments, Manipal Hospitals began using a remote monitoring service linked to Google’s Fitbit devices. These gadgets collect data from patients such as heart rate, oxygen saturation, sleep quality, steps, and pain score, which is then shared with nurses and doctors via an online monitoring service.

According to MarketsandMarkets, the market for wearable medical devices was estimated at $16.2 billion in 2021, with a CAGR of 13.2 percent expected to reach $30.1 billion by 2026. The rise of lifestyle-related illnesses (such as hypertension), the growing need for home healthcare, and the desire to improve patient outcomes are all factors driving this market expansion. 

Conclusion: Future of Healthcare Technology

With collaborative care models, data privacy becomes a major concern, and the danger of data loss can have serious ramifications for both the patient and the healthcare organization. 

Privacy of data can be ensured through a few specific security measures such as encryption of data and algorithms that enable access by authorized personnel only, regular monitoring of data and information to detect any data compromises, and training healthcare professionals about their data usage, access restrictions, and data security requirements. 

Ultimately, customer experience (CX) has risen to the top of the healthcare agenda because it affects every step of the patient’s journey, from interactions with doctors, nurses, and other care providers to insurance companies, pharmacies, hospitals, labs, and other healthcare businesses. R&D in every aspect of the above trends is happening at a rapid pace. Soon, a day will come when a doctor sitting in his clinic miles away from a rural village monitors a patient’s health and provides him with counsel and treatment.

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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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