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Emerging Healthcare Delivery Models

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5 minutes, 30 seconds read

Wearables, IoT devices, healthcare apps have significantly increased digital health access points for customers. The evolving nature of the digital health industry in India can be witnessed through the improved personalization and value-added services delivered to the consumers. To further multiply the digital health touchpoints, new healthcare delivery models are coming up to cater to specific healthcare needs and deliver a satisfying experience. Below are a few emerging healthcare delivery models: 

1. On-Demand Healthcare

The healthcare industry is beginning to welcome on-demand services for consumers who are already accustomed to receiving services anytime and anywhere from demand-driven brands such as Zomato, Uber, etc. Among the various digital healthcare services, e-pharmacies in India such as Medlife, Pharmeasy, have made a significant profit by making medicines and drugs available to customers in no time.

Quick booking of appointments, receiving digital medical reports, settling medical fees online, scheduling doctor visits, all of this can be done through smartphones. On-demand healthcare is gathering attention among consumers, especially millennials, needing mental health counseling, follow-up appointments, and quick recovery from wounds and minor illnesses. Due to the provision of healthcare anytime and anywhere, reduced expenses due to lessened hospital visits, deep interaction with patients, the on-demand healthcare model is growing. Express Care offered by Cleveland Clinic allows patients to consult virtual doctors in matters of non-life-threatening conditions like allergies, rashes, or back pain.   

This model also allows medical practitioners to work flexibly, depending on their schedule. It also lets the doctors appoint and cancel the dates of visits depending on their availability. For instance, besides being a clinical app for patients, Doctor on Demand has features such as email, payment system, messaging, etc. that help doctors to manage their patients.

2. Social Health Networks or Peer-based health networks

This model allows people and medical professionals to share views and hold discussions on health-related issues. This model also allows the doctors to address people’s health issues without any geographical barrier, motivates people to share their health experiences, and facilitates health literacy. As people belonging to different age groups are well versed and active on social media, social health network serves as an effective solution to encourage people to look after their health and provide emotional support to others. Any platform based on this model can also push people to create awareness through health-related campaigns. 

This model also facilitates maximizing health-related conversations and allows the exchanging of information among patients, medical professionals, and doctors- one-to-many and many-to-many conversations between patients-patients, doctors-patients, doctors-doctors. Even though this model is still at its developing stage, it is sure to gain momentum because people are starting to be upfront about their health problems, especially mental health issues. Organizations following this model can also leverage health data and provide effective health solutions. HealthUnlocked is a social networking service that empowers patients and promotes relevant health-related content. It focuses on building online support groups where patients can give health recommendations and insights to other patients. Medikoe launched We, a social network that publishes health-related content from qualified doctors and allows patients to connect with doctors. It is like any other social media where people can follow health professionals, and search, share, like health-related articles. It also encourages people to take up health challenges and updates people on upcoming health campaigns. 

3. Proactive Intervention

Chronic diseases account for more than 55% of total deaths in India. Increasing awareness and the use of healthcare technologies are prompting people to opt for preventive healthcare services to manage unexpected health issues. Proactive care lessens the chances of health deterioration through active dialogues between doctors and patients. Telemedicine is one such way through which health outcomes can be improved. As it facilitates easier transmission of patient data and increased access to HCPs, it holds the potential to reduce the mortality rate in India. This instant healthcare service provider model also allows remote monitoring of patients as health records can be transmitted in no time. 

As the model is compatible with wearable sensors, medical information such as blood pressure, heart rate, etc. can be monitored easily which helps in the early detection of diseases such as asthma, hypertension, heart-related diseases. Fitness trackers that are compatible with mobile applications help people in monitoring their health data as well. Health Care Originals developed ADAMM, an intelligent asthma monitoring wearable system that is attached to the upper body. It detects symptoms of asthma attacks- body temperature, heartbeat, cough rate, etc. Rubi Life is a MedTech company that uses nanotechnology in an elastic maternity band to monitor fetal activity in high-risk pregnancies. It sends alerts to the mother’s phone in order to prevent premature births, stillbirths, and to also avoid negative outcomes.  

4. Personalised Medicine & genomics

This model aims to improve the effectiveness of medicine by leveraging the patient’s health history, genetic characteristics, and lifestyle. Personalized medicine, also known as precision medicine improves health outcomes without any side effects. The unique genetic composition of patients helps in predicting disease and curing it before it starts affecting the body. This model disrupts the one-size-fits-all model as it takes into consideration the genomic composition and forms a pattern by observing a body’s reaction to drug dosages, thus promising accuracy. 

This model also reduces the trial and error inefficiencies and proves to be beneficial for medical professionals as it can reduce the failure and cost of pharmaceutical trials.  

K&H Personalised Medicine Clinic is the only healthcare facility in Hyderabad, India that provides personalized healthcare based on genomics, DNA analysis, and a patient’s medical history. As the genes are affected by diet, exercise, stress levels, and environmental factors, the K&H clinic takes into consideration all these factors to form a proper treatment strategy.

Conclusion

The emerging healthcare delivery models are aiming for cost-effective solutions that can save time and instantly cater to patient needs digitally. The digital healthcare market is growing at a compound annual growth of 27.41% during 2019-2024, and according to a recent report by McKinsey Global Institute, telemedicine services in India have the potential to replace in-person consultations by 30-40%. This shows that people are appreciating contactless solutions and are used to immediate gratification. While some of the healthcare delivery models are still at their nascent stage in India, some are experiencing good growth. As digital health consumers are starting to demand more, the emerging healthcare models have to make sure that they cater to their diverse needs instantly and efficiently.  Moreover, as healthcare facilities are unevenly distributed, the upcoming healthcare delivery systems should also make sure to maximize their touchpoints in order to reach every corner of the country.

Know about our work in Digital Health and how we have helped clients such as Suraksha Diagnostics, Abbvie, Religare Health Insurance, and SBI Health Insurance build mobile and web applications improving their operational efficiency and customer experience.

Further Readings:

  1. Building Consumer Trust in the Digital Healthcare Era
  2. HealthTech 101: How are Healthcare Technologies Reinventing Patient Care
  3. Virtual health: Delivering care through technology
  4. How Mobile Micro-Health Insurance can unlock ‘Digital for Bharat’?

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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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