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Are Wellness & Diagnostic Apps Transforming ‘Patient Experiences’?

The mobile engagement has swiftly risen to one of the top four strategies for delivering next-gen experiences to customers — thanks to the rate of adoption of mobile devices and applications in the last ten years. The rapid growth has prompted organizations to take the mobile-first approach for enhancing the customer’s journey.  The ‘mobile engagement’ market is currently valued at around $6B and is expected to reach $38.7B by 2023, growing at 43.4% CAGR.

The benefits have transcended the initial hype from several years ago, offering deep, yet economical marketing channels across all verticals. Companies are now able to leverage valuable insights into the behaviour of their prime users in order to attract, engage, acquire and retain those most loyal to them.

Mobile apps 

From online retailers to financial services, the agile nature of mobile forces companies to come up with newer ways to service customers ‘on the go’. General health & fitness apps have become a lucrative niche on its own. Many ‘Wellness’ and ‘self-diagnostic’ customer engagement apps have witnessed a soaring trend in usage rates globally. Among a long list of patient engagement approaches, these apps are proving to be effective in improving patient satisfaction and building strong emotional connections with brands.

Intelligently designed, content-rich mobile apps can become important tools for insurers, healthcare providers, and medical diagnostic chains to better their customer experience KPIs.

According to McKinsey, patients across the healthcare and diagnostics spectrum are looking for simple and user-friendly tools from their providers. Nearly 89% of doctors are likely to recommend a mobile healthcare app to patients.


Source: CentricDigital

Why create your own Mobile Apps

  1. Provide compassionate outpatient care 

Apps that capitalise on the quick information-snacking habits of its customers can leverage content-rich apps to help resolve patient doubts and immediate concerns without having to connect to medical staff. Even simple & interactive daily behaviour trackers can provide a sense of comfort and be cared for – without having to expend costly resources — allowing the patient to be able to stay on top of managing their own personal wellness goals.

  1. Prioritize messages the patient receives

Companies can utilize push notification messages to remind patients about appointments, rewards and offers, seasonal immunizations, special promotions, etc. Personalising messages is equally important to delivering truly unique experiences.

  1. Encourage real wellness habits

A user-friendly wellness app might just be the motivation patients need to take accountability for their own health needs. Health Trackers enabled with gamification features allows users to set personalised goals and stay informed about lifestyle habits. Tracking progress and rewarding users for accomplishing personal milestones can help build a wellness-minded community.

Must-have Wellness & Diagnostics App features

  1. Book Appointments for Preventive Health Checkups
  2. Access complete suite of health checkup packages
  3. Know your medicine (get detailed information about your prescriptions)
  4. Get medicines home delivered
  5. Book Lab Tests from Home
  6. Book Tests for family members
  7. Disease-wise test selection
  8. Manage & Download Health Reports at anytime
  9. Monitor & Track Health Parameters over time
  10. Partner Hospital, Lab or Pharmacy Locator
  11. Consult/chat with your Doctors online
  12. Read Regular Health Tips
  13. User-Friendly Health Tracker
  14. Manage exercise, diet, sleep and other lifestyle habits
  15. Seamlessly Integrate with fitness apps
  16. Access certified health coaches
Patient-centric Fitness Trackers UI

Mobile apps are the future of digital services 

The number of mobile apps has grown exponentially in the last few years alone, with more than 200,000 apps available for iOS and Android users today. Patients are willing to engage with applications focused on health and fitness. However, most apps remain under-utilised and have poor engagement, despite the fact that 75% of patients prefer to use and apps from their healthcare provider.

Data-driven customer journeys and better-coordinated workflows have proven to shape better experiences for patients in the health and wellness ecosystem.

Mantra Labs delivered India’s highest-rated customer diagnostics & wellness app, for Religare. If you would like to build your own customised mobile application, reach out to us at hello@mantralabsglobal.com

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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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