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How Smart Technology in the USA is Improving Efficiency in Healthcare

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Smart technology in healthcare marks is set to make a significant improvement in patient care. In the US, advancements in digital health technologies such as AI, the Internet of Things (IoT), telehealth, and wearable devices are already revolutionizing how healthcare providers approach diagnosis, treatment, and patient management. 

According to recent studies, medical errors are the third leading cause of death in the United States causing up to 251,000 deaths annually. Thankfully, these digital health trends will diminish human errors, enhance the quality of care, streamline operations, reduce costs, and improve access to healthcare services across the population. 

As the healthcare industry embraces these exciting innovations, understanding the role and impact of smart technology is essential in every area, from audiology and eye care to dental and diagnostics. 

The Role of Smart Technology in Healthcare

Hospitals worldwide are suffering from staff shortages and lack of treatment access. Advanced digital tools and systems will tackle these issues by leveraging data, connectivity, and automation to improve healthcare delivery and, ultimately, patient outcomes. These technologies have various applications, from electronic health records and telemedicine to wearables and AI-powered diagnostic tools. Thanks to the power of these innovations we’re about to see a more equitable society with personalized, efficient, and effective healthcare for all. 

Telehealth and telemedicine

The rise of telehealth and telemedicine has been one of the most significant shifts in healthcare delivery, especially during the pandemic. Patients can receive medical consultations and follow-up care remotely, significantly expanding access to healthcare services, particularly for individuals in rural or underserved areas.

Wearable health monitoring devices

Wearables such as fitness trackers, glucose monitors, and smartwatches enable continuous monitoring of health metrics in real-time. These devices are typically worn by people with chronic diseases and studies show that 30% of hospital visits by patients with common conditions are unnecessary. Luckily, ongoing monitoring can alert healthcare providers to potential health issues before they become serious, allowing for proactive management of chronic conditions and overall health without overwhelming hospitals.

Artificial intelligence and machine learning

AI in healthcare offers exceptional precision in diagnostics, treatment plan development, and even in predicting patient outcomes. The benefits of AI in healthcare include analyzing vast amounts of data to identify patterns and insights that would be difficult for humans to discern, leading to more accurate diagnoses and personalized treatment plans.

Blockchain in healthcare

Blockchain technology enhances the security, privacy, and efficiency of health data exchange. Providing secure records of transactions, blockchain can facilitate a transparent and reliable exchange of medical information among healthcare providers, payers, and patients.

Electronic health records 

Fast and accurate data access has transformed how patient records are stored, accessed, and used across the healthcare system. By digitizing these records, healthcare providers no longer have to waste time sourcing and authenticating patient information, facilitating better-informed decision-making and more coordinated care.

Benefits of Smart Technology in Healthcare

Thanks to smart technology, the world is becoming more advanced in many areas – including the healthcare industry. Patients and healthcare workers alike can enjoy a multitude of benefits, including efficient and effective medical services. With improved patient care and optimized everyday operations, these benefits lead to significant cost savings and increased satisfaction overall.

Fast, efficient operations

AI in healthcare provides better administrative and clinical processes, reducing the time and resources typically required for routine tasks. Electronic health records, for example, have eliminated paper documentation, making patient data easily accessible and shareable among healthcare professionals. The automation of scheduling, billing, and inventory management also reduces administrative strain, giving medical staff more time to focus more on patient care. Another way healthcare providers can minimize costs and maximize efficiency is by monitoring overall equipment effectiveness. OEE assesses the effectiveness of medical equipment and technologies, ensuring they are available, reliable, and performing at their optimal capacity. By monitoring and improving OEE, healthcare facilities can reduce equipment downtime, enhance patient care, decrease delays in diagnosis or treatment, and ensure a higher return on investment in medical technology.

Improved patient care and satisfaction

Access to healthcare is something that the world has struggled with for decades. But thanks to telehealth services and wearable health monitoring devices, providers can now give personalized patient care outside of traditional clinical settings. Quality of care, increased patient engagement and satisfaction are some benefits of AI in healthcare, providing patients with greater control over their health and well-being. While trained human healthcare workers offer excellent services, smart technology can greatly enhance them. AI-driven diagnostics and treatment produce high-degree precision and personalization, leading to better health outcomes. 

Reduced healthcare costs

One of the barriers to receiving correct, quality healthcare is finances. Luckily, smart technology is significantly reducing healthcare costs in many ways. For instance, telehealth decreases the need for in-person visits, saving money for healthcare providers and patients. Predictive analytics and real-time health monitoring can prevent costly emergency interventions by identifying potential health issues before they escalate. Plus, AI and machine learning optimize resource allocation, ensuring that healthcare services are delivered more cost-effectively.

Improved accuracy in diagnostics 

Traditionally, coming to an official diagnosis can take a long time due to inspecting data and cross-examinations. Sometimes, this can lead to inaccuracies or late diagnosis with little room for treatment. Fortunately, AI in healthcare and machine learning algorithms can easily analyze large amounts of medical data with incredible accuracy and speed, outperforming the usual methods we use to identify diseases and predict outcomes. For instance, AI algorithms can more accurately interpret imaging results, leading to earlier and more precise diagnoses of conditions like cancer, cardiovascular diseases, and neurological disorders. Using this accurate data, healthcare providers can plan personalized treatments and provide better overall patient care. 

Challenges and Considerations

While smart technology in healthcare brings many advantages, it also presents some challenges. Privacy and security concerns are critical, as the increased digitization of health information raises the risk of data breaches. Ensuring the equitable distribution of these technologies is crucial to avoid widening the health disparity gap. But, there’s a need for comprehensive training for healthcare professionals to adapt to these new technologies effectively. Overcoming these barriers requires thoughtful policy-making, strong security measures, and ongoing education.

Optimizing Healthcare

As digital trends suggest, smart technology will boost efficiency in the USA by improving every area of healthcare, from diagnostics to disease prevention. Despite challenges, the potential benefits are vast and exciting. To learn more about smart technology in healthcare and other industries, speak to our professional team at Mantra Labs for more information today. 

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NPS in Insurance Claims: What Insurance Leaders Are Doing Differently

Claims are the moment of truth. Are you turning them into moments of loyalty?

In insurance, your app interface might win you downloads. Your pricing might drive conversions.
But it’s the claims experience that decides whether a customer stays—or leaves for good.

According to a survey by NPS Prism, promoters are 2.3 times more likely to renew their insurance policies than passives or detractors—highlighting the strong link between customer advocacy and retention.

NPS in insurance industry is a strong predictor of customer retention. Many insurers are now prioritizing NPS to improve their claims experience.

So, what are today’s high-NPS insurers doing differently? Spoiler: it’s not just about faster payouts.

We’ve worked with claims teams that had best-in-class automation—but still had low NPS. Why? Because the process felt like a black box.
Customers didn’t know where their claim stood. They weren’t sure what to do next. And when money was at stake, silence created anxiety and dissatisfaction.

Great customer experience (CX) in claims isn’t just about speed—it’s about giving customers a sense of control through clear communication and clarity.

The Traditional Claims Journey

  • Forms → Uploads → Phone calls → Waiting
  • No real-time updates
  • No guidance after claim initiation
  • Paper documents and email ping-pong

The result? Frustrated customers and overwhelmed call centers.

The CX Gap: It’s Not Just Speed—It’s Transparency

Customers don’t always expect instant decisions. What they want:

  • To know what’s happening with their claim
  • To understand what’s expected of them
  • To feel heard and supported during the process

How NPS Leaders Are Winning Loyalty with CX-Driven Claims and High NPS

Image Source: NPS Prism

1. Real-Time Status Updates

Transparency to the customer via mobile app, email, or WhatsApp—keeping them in the loop with clear milestones. 

2. Proactive Nudges

Auto-reminders, such as “upload your medical bill” or “submit police report,” help close matters much faster and avoid back-and-forth.

3. AI-Powered Document Uploads

Single-click scans with OCR + AI pull data instantly—no typing, no errors.

4. In-the-Moment Feedback Loops

Simple post-resolution surveys collect sentiment and alert on issues in real time.

For e.g., Lemonade uses emotional AI to detect customer sentiment during the claims process, enabling empathetic responses that boost satisfaction and trust.

Smart Nudges from Real-Time Journey Tracking

For a leading insurance firm, we mapped the entire in-app user journey—from buying or renewing a policy to initiating a claim or checking discounts. This helped identify exactly where users dropped off. Based on real-time activity, we triggered personalized notifications and offers—driving better engagement and claim completion rates.

Tech Enablement

  • Claims Orchestration Layer: Incorporates legacy systems, third-party tools, and front-end apps for a unified experience.
  • AI & ML Models: For document validation, fraud detection, and claim routing, sentiment analysis is used. Businesses utilizing emotional AI report a 25% increase in customer satisfaction and a 30% decrease in complaints, resulting in more personalized and empathetic interactions.
  • Self-Service Portals: Customers can check their status, update documents, and track payouts—all without making a phone call.

Business Impact

What do insurers gain from investing in CX?

A faster claim is good. But a fair, clear, and human one wins loyalty.

And companies that consistently track and act on CX metrics are better positioned to retain customers and build long-term loyalty.

At Mantra Labs, we help insurers build end-to-end, tech-enabled claims journeys that delight customers and drive operational efficiency.
From intelligent document processing to AI-led nudges, we design for empathy at scale.

Want a faster and more transparent claims experience?

Let’s design it together.
Talk to our insurance transformation team today.

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