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How Hospitals Can Deliver Predictive Health Solutions Over Mobile Apps?

3 minutes read

Preventative medicine is all set to make a comeback as hospitals now have the tools that are required to collect, analyze and deliver solutions that map the trajectories of their patient’s health in a sustainable fashion. Telemedicine, as the practice is commonly known was hamstrung by the sheer bulk of the requisite instruments and the lack of interoperability within them. 

Telemedicine has now touched a new frontier as mobile applications are proving to be increasingly useful in medicine, especially in pre-emptive and predictive health solutions. As the next phase of telemedicine dawns on us, here are five ways in which hospitals can start delivering predictive health solutions to their customers via mobile telephony:

#1 Replace in-person visits with mobile engagement

In the first half of the last decade alone, both physicians and patients began to conduct more and more of their activities on mobile applications. The increasing acceptance of patients liaising with their doctors through mobile applications means that doctors can now mediate most in-person visits via mobile applications. This not only translates to greater convenience for both parties but also facilitates a robust data collection platform that is crucial to delivering predictive health solutions to patients. These have been shown to improve the rate of electronic prescribing and increase the effectiveness of healthcare professionals.

#2 Leverage analytics

Predictive analytics is proving to be a big draw for hospitals as the average patient now has a digital footprint that provides ample information regarding the patient’s well-being if processed in the right fashion. As of 2015, the average hospital was expected to be generating almost 665 terabytes of data, a goldmine that can finally be leveraged with the use of advanced analytics:

Hospitals seeking to augment their existing practices with predictive health solutions need to unify three key technologies which they have at their disposal: smartphones, predictive analytics, and the wealth of data that they generate on a daily basis. They can also help reduce the cost of re-admissions, as demonstrated in the case of Dr Patricia Newland, who had used it to prevent one of her patients from readmission.

#3 Implement advanced Tele-ICUs

Predictive algorithms, when deployed in tele-ICU settings can give doctors enough insight into patient vitals and alert doctors to signs of impending patient deterioration so they can act on time and save patients from slipping further. In fact, these algorithms can even come in handy in the hospice, as one hospital had demonstrated by implementing an automated early warning scoring system that helped caregivers administer appropriate care and respond early.

#4 Integrate wearables

There are several anecdotes from around the world as to how the Apple Watch’s state-of-the-art ECG feature helped save lives by alerting the wearer to slight anomalies in their homeostatic process. This can further be extended to patients with chronic diseases who can be equipped with wearable biosensors that collect data at regular intervals. When coupled with smartphones, sensors can be a potent combination for remote patient monitoring as it will allow doctors to set up systems that alert patients in case they display early signs of a severe ailment. This would enable hospitals to unclog their wards and make way for more severe cases that might require in-person care for the patients.

#5 Democratize Clinical Surveillance systems

Hospitals can also place comprehensive clinical surveillance systems at home for at-risk patients in their homes. This could effectively reduce 40% of all hospital admissions by bringing healthcare to the homes of those who need it the most, as demonstrated by a study by Partners Healthcare of Boston.

Staying Ahead

For young hospital chains that still seek to differentiate themselves from older chains, digitizing their operations and making full use of their data and the commoditization of the smartphone can yield staggering results. Over time, they can even create personalized models for individual patients and deliver healthcare with greater success, the likes of which will be received with great fanfare from both customers and non-customers alike.

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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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