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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 Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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