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5 CX Trends in Healthcare for 2023

4 minutes read

The healthcare industry has seen several practices become common that otherwise took a back seat. Here are 5 CX trends in healthcare for 2023 that will dominate the industry which will shift the overall customer experience.

  1. Retail Healthcare: 

The challenges faced by the healthcare industry are multifold, backed by economic constraints and a lack of resources on the primary care providers’ end. Rural hospitals are particularly at risk, owing to low financial reserves or reliance on government aid. Due to this, consumers are inclined more toward retail healthcare. “In 2022, the US retail clinic market size was valued at $3.49 billion, with additional retail companies looking to join the ranks of CVS-Aetna, Walgreens, Walmart, Amazon, and Optum-UnitedHealth Group,” says Forbes. 

While the medical industry finally embraces advanced technology, the retail healthcare system is predicted to take center stage backed by its priority to provide customers with the best overall experience.

Forrester’s research says, “In 2023, patients will choose retail health for their primary care needs as health systems, constrained by inadequate resources, fail to match retail’s elevated patient experiences.”

The primary advantages Retail Health Care can provide are personalization, cost-effectiveness, and quick responses.

  1. Artificial Intelligence

According to Mantra Labs report, 93% of Gen Z, and 71% of Millennial customers say they would prefer to use conversational chatbots that offer ‘convenient experiences’ as their primary mode of interacting with a healthcare brand. Despite being rather slow in its evolution, AI will change, considering various factors such as clinician burnout, staggering economic resources, and the onset of retail healthcare. It offers the solution to give some structure to the plethora of data produced by the medical industry. According to Dr. Taha Kass-Hout, “97% of healthcare data goes unused because it’s unstructured. That includes X-rays and medical records attached to slides.” Machine Learning helps make some sense out of this jumble. Amazon HealthLake is one service that enables the searching and querying of unstructured data.

  1. Predictive Analytics in Healthcare:

Predictive health solution has been helping in increasing operational efficiency, giving better outcomes, and reducing risks. It helps identify an individual’s phenotype (refers to an individual’s observable traits, such as height, eye color, and blood type). A person’s phenotype is determined by both their genomic makeup (genotype) and environmental factors. By enabling the studying of every patient’s particular phenotype, IoMT makes it possible for healthcare providers to offer their customers a personalized experience. They can also manage their lifestyles and conditions, thereby preventing a situation that requires an operation.

  1. Extended Reality: 

Global XR market is expected to reach a market size of $1,246.57 billion growing at a steady CAGR of 24.2% by 2027. As the wearable market continues to see an upward trend, the healthcare industry gains from it by using it for pain management, remote patient monitoring, and physiotherapy. Another use case of XR is its usage in explaining the process of surgery to patients and attendants prior to starting. 

  1. Telehealth: Primary care and predictive analysis will accompany TeleHealth practices, to serve patients a safer and more advanced experience at the onset of a possible outbreak of the new COVID virus: the BF 7. Additionally, with an increase in chronic diseases, telehealth in the future would be useful in keeping the patient’s symptoms under control- paired with IoMT by providing regular check-ins, monitoring vital signs, and the required support. 

Challenges Ahead: 

  • Cybersecurity: All India Institute of Medical Sciences (AIIMS) had five servers hit, and an estimated 1.3 terabytes of data was encrypted. These kinds of cases make cybersecurity one of the top priorities. The most sensitive kind of data apart from one’s financials would be their physical and mental health records. Whilst advancing in the process of virtual care, privacy should be kept as one of the top priorities to retain customers. 
  • Empathy: As more and more people turn to their smartphones and laptops for answers related to their medical symptoms, it becomes a responsibility to be empathetic towards them during their treatment. With technology in the scene, it might become a challenge. But for IT and healthcare to coexist, empathy is the answer. 

Wrapping up:

Tech in healthcare, without a doubt, will make the patient experience more personalized and convenient. In the coming year, we will see more virtual communities, especially in rare diseases for which traditional care is not easily accessible. These are online platforms that enable patients to connect with others with similar conditions as well as doctors.

Despite all this, it is crucial to remember that the only constant thing that cannot be interchanged with another at the end of the day is still the human touch. Technology exists to facilitate healthcare providers sharing better experiences with patients.

(Note: The trends highlighted here are not rank-based.)

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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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