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What does the Digital & Connected Patient Experience of Tomorrow look like?

Over the last two years, between setting up new hospitals, handling the patient load, rearranging floors, and turning ICUs into covid wards quickly, the healthcare ecosystem faced a paradigm shift. Virtual visits that seemed like a mere possibility a few years ago, turned into reality in just a matter of months. Hospitals turned up at doorsteps and digital consultations became the new normal. The pandemic gave momentum to the rapid adoption of newer technologies by both providers and patients.

The Healthcare of Tomorrow

According to Deloitte, by 2040, health care as we know it today will cease to exist and the focus will shift from ‘healthcare’ to ‘health’. While it’ll be impossible to eradicate disease and illness completely, early detection, proactive intervention, and progress tracking will help to prevent serious consequences and promote well-being. 

Smartwatch market share is expected to reach $ 95.78 Billion by 2028 and register a CAGR of 19.1%, according to Emergen Research. A 71-year-old woman in the US collapsed while she was alone, but the Apple Watch’s fall detection feature was able to warn her son and first responders. When she was taken to the health center, she was detected with a mass in her lungs that was cancerous. The future of healthcare will be strongly empowered by the digital revolution where the focus will be more on wellness rather than illness.

What does a Digital Patient of tomorrow want?

Patient loyalty is directly linked with their overall experience. According to Accenture, “Two-thirds of patients are likely to switch to a new health system if their expectations are not met.”

Ideal Patient Journey

Let’s look at what a future healthcare consumer is looking for:

  1. Omnichannel Experience

According to Mantra Labs report, “healthcare providers that successfully initiate conversations, advise, engage and then close over multiple channels can potentially retain up to 7X more customers.”

Earlier healthcare customers relied more on in-person visits and consultations. But with change in consumer dynamics in the past two years, industries have shifted to omnichannel engagement strategy to reach out to their customers who now expect a similar experience in healthcare as well. They want flexibility and control to communicate with their providers on their own terms over all the channels via chat, web, email, text, and call.

  1. Digital Infrastructure is an absolute necessity

Covid-19 has taught us that there is an urgent need to build a strong Digital Infrastructure for a pandemic-like situation in the future.

Global Digital Health Funding

A study by CB Insights says, “Global digital investments in healthcare went record-high of $57.2 billion in 2021, a 79% jump from the $32 billion raised globally in 2020.” The number will keep going higher every year as there is a huge demand-supply gap in the healthcare industry. Providers would be better aligned with their patient’s demands if they invested in digital front-office transformation. This would also increase overall cost efficiencies.

Recently, ₹200 Cr has been allocated by the Indian government to set up an open platform for the National Digital Health Ecosystem (NDHE) which will include an exhaustive list of digital registries of health providers and health facilities, unique health identity, consent framework, and universal access to healthcare. This will create a much-needed interactive and transparent platform for healthcare providers and seekers to manage stacks of health data in the country.

  1. Insurance & Financing

When it comes to healthcare, people have been compelled to pay for their healthcare coverage out of their own wallets, especially in developing countries like India. According to research conducted by the Public Health Foundation of India, healthcare-related expenses push 4% of India’s population below the poverty line every year. This creates an urgent necessity for insurance and healthcare partnerships to go beyond working in silos and integrate with each other for creating a better patient journey.

What does a Future Health workforce want?

There has been a massive shift in not just consumers’ but providers’ mindsets too. The health workforce has been the fastest to adapt and evolve into this new digital healthcare setting. 

Coming out of this crisis, knowing what they want has become critical for healthcare organizations. 

Digital Health Provider Experience
Source: Mantra Labs Whitepaper
  1. Technology that benefits clinicians rather than the other way around

Collaboration solutions with real-time video and audio capabilities are rated as a significant sales conversation accelerator by 57% of healthcare agents. 

Accenture found that since COVID-19, 60% of patients want to use technology more for their healthcare. 

Given the fact that AI adoption rates surged by 51% in 2021, usage rates remain low. This shows that there’s a huge scope for the industry leaders to make conversational AI a better partner for healthcare providers.

  1. Regular training to upskill the workforce

Healthcare providers need to upgrade not just their technical skills but their soft skills as well to connect with the patient at a deeper level. With multitudes of data available to the doctor, what’s important for them is to train their clinicians and workforce to learn to process that data in a timely and meaningful way during the consultation. 

Conclusion

“The global healthcare interoperability solutions market is expected to grow from $ 2.9 billion in 2021 to $ 5.7 billion by 2026, growing at a CAGR of 13.9% during the forecast period 2021-2026”, according to marketsandmarkets.

Global Healthcare Market Trends
Source: marketsandmarkets

Factors like lack of unified patient data, soaring patient demand, and an overburdened legacy health system have resulted in disjointed care experiences. The interoperability between different healthcare systems will facilitate healthcare practitioners to see a complete panoramic picture of their patients. 

Health experts need to strike the right balance between digital and physical channels because the human touch will always take the center stage. 

Going forward, the health industry requires a framework that allows them to remain agile during the healthcare crisis and be tech ready to provide a connected patient experience.

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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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