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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 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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