Is Mixed Reality on the Horizon for Healthcare?

Mixed Reality (MR) also known as “hybrid reality” and “extended reality,” has the potential to change just about every industry, healthcare being no exception. A combination of Virtual Reality (VR), Augmented Reality (AR), and Artificial Intelligence (AI); MR is emerging as a tech to create experiences that blend the real-life environment with digital elements.

It is lauded as being revolutionary because of its ability to provide a more personalized and immersive experience and recent advancements are paving way for previously unimagined possibilities in medicine, not only by lowering training and operational costs but also by improving surgical safety and precision.

According to a report by Research and Markets, the mixed reality market was valued at USD 376.1 million in 2020 and is expected to reach USD 3,915.6 million by 2026 with an expected CAGR of 41.8% over the forecast period 2021 to 2026.

With the rapid adoption of Mixed Reality in the coming years, the technology could find a variety of uses in the healthcare sector, including reducing the use of cadavers in medical student training, patient engagement therapy for post-traumatic stress disorder (PTSD), and pre-operative visualisation of brain tumours by reviewing scans in-person using AR.

How ‘Mixed Reality’ is reshaping complex health procedures?

Mixed Reality offers infinite possibilities in medical diagnosis, training, surgeries, medical treatments, and rehabilitation, making it extremely detailed and accurate.

Instant diagnoses

MR headsets can record patient history discussed verbally by medical professionals which can be accessed by anyone including the nursing staff. Furthermore, these headsets can even analyze data and provide reports to doctors in real-time, eliminating the need to manually go through physical reports, making diagnosis faster and more accurate.

Medical training

Mixed Reality in recent years has seen more popularity in academics where it acts as an aid for teachers to teach various subjects and techniques. Students too can hone their skills before performing surgeries on patients. Doctors can also use MR to rehearse complicated surgeries, saving valuable time during their procedure while increasing their success rate.

Enhanced surgery

MR develops personalized 3D models for each patient and visualizes the interior anatomy in a completely immersive environment, thereby helping in pre-operative simulations. The MR wearable devices in combination with new emerging imaging technologies can aid greatly in complex surgical procedures such as reconstructive surgeries where holographic overlays helped surgeons to better view the bones and identify the course of blood vessels.

Recent applications of Mixed Reality in healthcare

Renowned medical universities are researching and using mixed reality in different areas of medicine, and the results appear to be promising in cardiology, training, autism, surgery, and more.

Cardiology:

Apollo Hospitals, one of the largest hospital chains in India, launch a mixed reality programme- Apollo ProHealthDeepX that uses machine learning, digital signal processing, and mixed reality to provide a visual insight into the internals of the heart using 3D images and assess a patient’s risk factors for heart disease all using the MR headsets.

Medicine Training:

NUS Medicine (Singapore) created Project Polaris which aims to integrate MR into their learning experience and create a realistic clinical scenario and give students a visual presentation of actual clinical procedural skills like inserting a cannula, as well as inserting catheters in male and female urinary tracts with the help of 3D holograms projections.

Autism Treatment:

The autism glass project of the medical school of Stanford University uses Google Glass to assist autistic children in interpreting their emotions and automating facial expression recognition using AI. They also intend to improve its accuracy and allow users to interact with it without the use of glasses in the future.

Phantom Limb Pain Treatment:

Aalborg University in Denmark conducted a study to examine if virtual reality (VR) can help reduce the pain of phantom limbs by tricking the amputee’s brain into believing it still controls the missing limb. When a patient moves his arm, the virtual arm moves in lockstep with them, allowing the patient to control the amputated limb with his brain.

Why the hesitation to implement MR?

Mixed Reality can be used in a variety of situations in healthcare, from home care to acute care units. While MR technology is expected to save costs and increase patient outcomes and satisfaction, healthcare professionals are encountering several challenges as they prepare to implement it.

The lack of adequate skill among medical practitioners, high investment costs, technical glitches, establishing interoperability with existing systems, defining reimbursement schemes, creating a secure environment, and the fear of data loss are all likely to stifle market growth for the time being during the assessment period.

The Road Ahead

Despite these challenges, over the projected period, improvements in regulatory policies are expected to ease the adoption of this technology. Factors such as rapid advancements in sensor technology, increased user acceptance, growing applications of MR in medical treatment, and increased workload of healthcare workers are driving the adoption of mixed reality in the global healthcare market. The benefits of MR systems, such as better operational efficiency, improved service quality, and reduced human effort, are also expected to boost mixed reality’s rise in the healthcare sector.
Statista report estimated that in 2025, the global mixed reality market will increase to about 3.7 billion U.S. dollars and the healthcare sector will hold the majority. It won’t be a surprise to see hospitals and clinics doubling the use of Virtual Reality (VR), Augmented Reality (AR), or Mixed Reality (MR) technologies in their clinical activities. Soon, we can expect to see MR technology being used in every other doctor’s clinic.

Published on Jan 30, 2025

Updated on Feb 4, 2025

Let’s rewind the clock for a moment. Thousands of years ago, humans had a simple way of keeping tabs on things—literally. They carved marks into clay tablets to track grain harvests or seal trade agreements. These ancient scribes kickstarted what would later become one of humanity’s greatest pursuits: organizing and understanding data. The journey of data began to take shape.

Now, here’s the kicker—we’ve gone from storing the data on clay to storing the data on the cloud, but one age-old problem still nags at us: How healthy is that data? Can we trust it?

Think about it. Records from centuries ago survived and still make sense today because someone cared enough to store them and keep them in good shape. That’s essentially what data observability does for our modern world. It’s like having a health monitor for your data systems, ensuring they’re reliable, accurate, and ready for action. And here are the times when data observability actually had more than a few wins in the real world and this is how it works

How Data Observability Works

Data observability involves monitoring, analyzing, and ensuring the health of your data systems in real-time. Here’s how it functions:

Data Monitoring: Continuously tracks metrics like data volume, freshness, and schema consistency to spot anomalies early.
Automated data Alerts: Notify teams of irregularities, such as unexpected data spikes or pipeline failures, before they escalate.
Root Cause Analysis: Pinpoints the source of issues using lineage tracking, making problem-solving faster and more efficient.
Proactive Maintenance: Predicts potential failures by analyzing historical trends, helping enterprises stay ahead of disruptions.
Collaboration Tools: Bridges gaps between data engineering, analytics, and operations teams with a shared understanding of system health.

Real-World Wins with Data Observability

1. Preventing Retail Chaos

A global retailer was struggling with the complexities of scaling data operations across diverse regions, Faced with a vast and complex system, manual oversight became unsustainable. Rakuten provided data observability solutions by leveraging real-time monitoring and integrating ITSM solutions with a unified data health dashboard, the retailer was able to prevent costly downtime and ensure seamless data operations. The result? Enhanced data lineage tracking and reduced operational overhead.

2. Fixing Silent Pipeline Failures

Monte Carlo’s data observability solutions have saved organizations from silent data pipeline failures. For example, a Salesforce password expiry caused updates to stop in the salesforce_accounts_created table. Monte Carlo flagged the issue, allowing the team to resolve it before it caught the executive attention. Similarly, an authorization issue with Google Ads integrations was detected and fixed, avoiding significant data loss.

3. Forbes Optimizes Performance

To ensure its website performs optimally, Forbes turned to Datadog for data observability. Previously, siloed data and limited access slowed down troubleshooting. With Datadog, Forbes unified observability across teams, reducing homepage load times by 37% and maintaining operational efficiency during high-traffic events like Black Friday.

4. Lenovo Maintains Uptime

Lenovo leveraged observability, provided by Splunk, to monitor its infrastructure during critical periods. Despite a 300% increase in web traffic on Black Friday, Lenovo maintained 100% uptime and reduced mean time to resolution (MTTR) by 83%, ensuring a flawless user experience.

Why Every Enterprise Needs Data Observability Today

1. Prevent Costly Downtime

Data downtime can cost enterprises up to $9,000 per minute. Imagine a retail giant facing data pipeline failures during peak sales—inventory mismatches lead to missed opportunities and unhappy customers. Data observability proactively detects anomalies, like sudden drops in data volume, preventing disruptions before they escalate.

2. Boost Confidence in Data

Poor data quality costs the U.S. economy $3.1 trillion annually. For enterprises, accurate, observable data ensures reliable decision-making and better AI outcomes. For instance, an insurance company can avoid processing errors by identifying schema changes or inconsistencies in real-time.

3. Enhance Collaboration

When data pipelines fail, teams often waste hours diagnosing issues. Data observability simplifies this by providing clear insights into pipeline health, enabling seamless collaboration across data engineering, data analytics, and data operations teams. This reduces finger-pointing and accelerates problem-solving.

4. Stay Agile Amid Complexity

As enterprises scale, data sources multiply, making Data pipeline monitoring and data pipeline management more complex. Data observability acts as a compass, pinpointing where and why issues occur, allowing organizations to adapt quickly without compromising operational efficiency.

The Bigger Picture:

Are you relying on broken roads in your data metropolis, or are you ready to embrace a system that keeps your operations smooth and your outcomes predictable?

Just as humanity evolved from carving records on clay tablets to storing data in the cloud, the way we manage and interpret data must evolve too. Data observability is not just a tool for keeping your data clean; it’s a strategic necessity to future-proof your business in a world where insights are the cornerstone of success.

At Mantra Labs, we understand this deeply. With our partnership with Rakuten, we empower enterprises with advanced data observability solutions tailored to their unique challenges. Let us help you turn your data into an invaluable asset that ensures smooth operations and drives impactful outcomes.

Is Mixed Reality on the Horizon for Healthcare?