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What will ‘Behavioural Changes’ Mean for India’s Digital Health Future

We are in the middle of a global pandemic, facing a threat unlike one never seen before. COVID-19 has been a reason for global concern since it has negatively impacted economies, shut down workplaces, and forced cities into lockdowns.

But history also tells us  that times of uncertainty also foster innovation. The pandemic has forced consumers and businesses to rethink how they behave both physically and digitally. As per McKinsey, COVID-19 has speeded up the adoption of digital technologies.

India, which was on the cusp of a ‘digital health’ revolution, has now been forced to embrace innovation and emerging trends. The healthcare sector holds great promise since new-age technologies like telemedicine, robotics, artificial intelligence (AI), genomics, etc. are transforming healthcare services.

There have been unprecedented changes in consumer behaviour as well. People are now increasingly relying on using the internet to find clinical information or engage with healthcare professionals digitally. Moreover, online consultations, telemedicine, and e-pharmacies have seen a rise in popularity.

Companies will thus need to capitalize on the changing patterns of consumption and health-seeking behaviour.

This article focuses on how changing patient behaviour will affect India’s digital health future.

A growing Indian healthcare market

According to a report by Future Health Index, India is a leader in the adoption of digital health technology. As per India Brand Equity Foundation (IBEF), the Indian healthcare market is expected to grow at a compound annual growth rate of 22% to reach a valuation of USD 372 billion by 2022. This growth can be attributed to the following –

  • Growing health awareness
  • Aging population
  • Lifestyle-related diseases
  • Rising income levels
  • Growth of internet availability

The rise of digital health start-ups is also playing a role in the growth of the healthcare sector. Indian health tech startup landscape has now matured.

Over the last few years, telemedicine has emerged as a fast-growing sector in India. Prominent start-ups like Practo, mfine, and Lybrate have established themselves in the telehealth market. McKinsey estimates that India could save up to USD10 billion by 2025 by using telemedicine instead of in-person doctor appointments.

COVID-induced behavioural changes

The COVID-19 pandemic has brought about changes to patient behaviour. The fear of leaving homes to get treatment has led to the growth of virtual care and telemedicine. 

As per a report by Accenture, almost 70% of the patients canceled or postponed their treatments due to the COVID-19 pandemic. Technology, therefore, played a crucial role in helping patients continue their care. Healthcare providers were even able to improve the experience for patients by delivering them faster response time, personalized interactions, and the convenience of getting consultation from home.

The same report by Accenture highlights some key behavioural changes that are being observed in patients – 

  • Nearly half of the patients now get their treatment at their homes instead of visiting a clinic.
  • Almost 60% of patients want to continue using technology for communicating with healthcare providers.
  • About 41% of patients now use video conferencing to connect with their healthcare providers. Of these, for almost 70% of patients, it’s their first-time using video conferencing for healthcare.
  • Almost 44% of patients used new apps or devices during the pandemic to manage their health conditions.

All this highlights the need for healthcare providers to reimagine their patient engagement strategies in keeping with the changing patient behavior.

Future of digital health in India

New digital technologies and tools are making an impact across the healthcare sector. They hold great promise in improving the efficiency of healthcare services while delivering better patient care. Below are some of the technological developments that are expected to revolutionize the way we seek healthcare.

Telemedicine

About 68% of India’s population lives in rural areas where healthcare services are not usually up to the mark. This barrier can be overcome by telemedicine that offers an excellent way for patients to consult a doctor in a much shorter duration. Telemedicine can cut waiting times and allow patients to avoid traveling to a clinic or hospital. Some other benefits of telemedicine include –

  • Immediate access to specialist healthcare providers.
  • Cost-effectiveness.
  • Improved quality of care.
  • Convenience to the patients.
  • Improved patient engagement.

Internet of medical things (IoMT)

The rapid growth of IoMT devices is rapidly changing healthcare delivery by playing an important role in tracking and preventing chronic illnesses.

It not only helps eliminate the need for in-person medical visits but also helps reduce costs. Goldman Sachs estimates IoMT to save USD 300 billion annually for the healthcare industry. IoMT will benefit those patients the most who are unable to get access to quality healthcare due to remote location.

Big data in healthcare

There has been dramatic growth in the amount of medical and health data in the last few years. These massive datasets can be used to draw insights and opportunities for healthcare organizations. Analysis of healthcare data can help discover warning signs and create preventive plans.

The widespread adoption of IoT devices also makes it easier to monitor heart rate, blood pressure, etc. This can help in the early detection of diseases like hypertension, asthma, heart problems, etc.

Electronic medical records

Electronic medical records or EMRs help collect, digitalize patients’ information, and store it in a single place. EMRs store various types of medical data like medical history, prescriptions, drug allergies, etc. and allow doctors to make accurate disease prognosis in a much shorter time. Some other benefits of EMRs include – 

  • Effective medical decisions.
  • Easy data recovery.
  • Improved collaboration.
  • Portability.
  • Security of medical data.

Artificial intelligence

Artificial intelligence (AI) has a big role to play in improving healthcare since growing digitization leads to the availability of a large amount of health data. AI has the potential to transform everyday health management in the following ways –

  • Improved accessibility of healthcare services (for example – the AI-based mobile app Ada is available across 140 countries and makes it possible for anyone to have access to medical guidance).
  • Improved efficiency.
  • Accurate disease diagnosis.
  • Improved insights to reveal early disease risks (for example – a popular app Verily can forecast noncontagious and hereditary genetic diseases).
  • Time and cost savings.

mHealth

Mobile health or mHealth refers to the monitoring and sharing of health data via mobile technology like health tracking apps or wearables. 

mHealth apps can prove to be beneficial in increasing patient engagement, providing health education, and offering remote consultations to patients. It can also use the data from wearable devices to improve the quality of care. Some other benefits of mHealth include – 

  • Faster access to physicians.
  • Improved medication adherence.
  • Remote patient monitoring.
  • Increased medication reconciliation accuracy.
  • Improved coordination between healthcare providers and patients.

Conclusion

It’s quite clear that COVID-19 has significantly impacted patient behaviour. There has been a growing preference for telehealth and mHealth apps. But all of this has also compelled healthcare organizations to put in more effort in adapting to these behavioural changes. Healthcare providers are opting to rely more on new technologies to continue delivering patient care. A more affordable standard of high-quality care is in the works for India’s digital health future.

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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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