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NDHM & What it means to be Integration Ready

5 minutes read

The healthcare industry in India has been steadily growing at a Compound Annual Growth Rate of around 22% since 2016 and is expected to reach USD 372 billion in 2022. 

NITI Aayog released a report titled ‘Investment Opportunities in India’s Healthcare Sector’ published by PIB which states that “The Indian Healthcare market is expected to reach $190 Bn by 2020; $372 Bn by 2022 at a CAGR of 39% The digital healthcare market in India was valued at INR 116.61 Bn in 2018, and is estimated to reach INR 485.43 Bn by 2024, expanding at a compound annual growth rate (CAGR) of ~27.41% during the 2019-2024 period.” 

The expansion of private hospitals to Tier-2 and Tier-3 cities is looking like an attractive investment opportunity in the hospital segment. With respect to the pharmaceutical industry, India is likely to boost domestic manufacturing, supported by recent Government schemes under the Aatmanirbhar Bharat initiative.

Wellness tourism, under the medical value travel diaspora, has given an impetus to the rise of alternative medicine and treatment prospects. Technology, by way of innovations in Artificial Intelligence (AI), wearable technologies, and the Internet of Things, also offer multiple avenues. 

The Indian healthcare system is fast-moving towards a wellness-driven model of care delivery from an otherwise historically siloed and episodic intervention approach. This streamlining of the healthcare system creates a wealth of new opportunities for healthcare enterprises and institutions. The hospital industry in India accounts for nearly 60% of the overall health ecosystem’s revenues. The addition of new frameworks for Health ID, PHR, telemedicine, and OPD insurance will create macro-level demand beyond local in-patient catchment zones.

Traditional modes of healthcare delivery are being phased out in favor of new and disruptive models. The COVID-19 pandemic and its subsequent waves have changed consumer demand and given a big push for the need for a digital healthcare ecosystem. 

Source: Mantra Labs Whitepaper, March 2021

The National Health Stack (NHS), a digital platform with the aim to create universal health records for all Indian citizens by 2022, aims to bring both central and state health verticals under the same umbrella. 

The action plan to fulfill the creation of the NHS is laid out in the National Digital Health

Blueprint (NDHB), which also outlines the vision for Universal Health Coverage, that’s been in the pipeline for India’s underprivileged. This is where the National Digital Health Mission (NDHM) comes into the picture, as the entity responsible for the successful implementation of the aforementioned Blueprint and subsequent Health Stack. 

The blueprint recommends two building blocks namely, Personal Health Identifier (PHI), and Health Master Directories & Registries, for handling the requirements of a unique identity (much akin to Aadhar) of persons, facilities, diseases, and devices. These building blocks that India is creating for its 1.4 billion citizens are said to be equipped with an interoperability option to seamlessly access digital records.

With rapid rates of digitalization and increasing demands from connected consumers, an integrated ecosystem will allow healthcare providers to deliver value-based care and outcomes in a real-world scenario. The NDHE can potentially create over US$200 billion in economic value for the health sector, over the next 10 years, according to BCG analysis. 

The National Digital Health Blueprint (NDHB) underlines key principles which include domain perspectives namely, Universal Health Coverage, Security & Privacy, Education & Empowerment, and Inclusiveness of citizens; and the technology perspective namely, Building Blocks, Interoperability, a set of Registries as single sources of truth, Open Standards and Open APIs.

Source: Mantra Labs Whitepaper, March 2021 

How integration-ready are we? 

Most hospitals in India continue to use paper-based medical records and verbal procedures to communicate among doctors and nurses for a patient’s treatment. This causes serious implications such as lack of transparency, lack of accountability, error-prone treatment, non-integrated patient health records, difficulty to understand the past medical history, poor collaboration within a team of doctors, a higher threat to infection, and a lack of progress towards adopting AI/ML-based technologies. As the consumer is being ushered into the ‘age of experiences‘, the onus is on digital healthcare enterprises to make them more relevant, emotional, and personalized.

Source: Mantra Labs Whitepaper, March 2021

An integration engine is not only an interface engine but also a healthcare integration platform that supports the day-to-day operations of a care delivery organization. From interfaces to workflow to operational decisions, integration engines assist in modernizing the healthcare system.

Source: Mantra Labs Whitepaper, March 2021 

By preparing for integration readiness, healthcare providers can access new patient demand pools from Tier-2 and Tier-3 cities, identify insights about the health consumer’s lifecycle needs, and leverage new technologies to draw in more value from these interactions than ever before.

As a result, hospitals will be able to drive improved margins from reduced administrative costs and gain higher utilization through increased demand. 

Healthcare experiences future will include insights harnessed from data and human expertise to bring sensory value to each interaction, in other words, the integration of IX or Intelligent Experiences.

Read our detailed Digital Health whitepaper to get more insights into NDHM and what it means to be integration-ready. 

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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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