How the Internet of Medical Things Is Transforming Healthcare through Connected Patient-Centered Medicine

Why IoMT Matters in Healthcare Today

What is IoMT? The Internet of Medical Things (IoMT) is transforming healthcare by addressing pressing challenges, including aging populations, rising rates of chronic diseases, and strained medical resources. By enabling remote patient monitoring, AI-driven diagnostics, and seamless integration with electronic health records, IoMT supports early intervention, personalized treatment, and better patient outcomes. 

In practice, it connects medical devices, wearables, and sensors to create a comprehensive ecosystem that enables real-time patient monitoring and data-driven care. IoMT is creating a more proactive, efficient, and patient-centric healthcare ecosystem.

With the global IoMT market projected to grow to $588-800 billion by 2030, its impact on healthcare delivery is both significant and growing.

Key Insights on IoMT in Healthcare:

• Rapid Market Growth and Global Expansion: The IoMT market is expanding rapidly, projected to reach $588–800 billion by 2030. North America is leading adoption, while Asia-Pacific shows the fastest growth, exceeding 20% CAGR.

• Shift Toward Proactive, Personalized Care: IoMT enables a shift from reactive to proactive healthcare by supporting real-time monitoring, early intervention, and individualized treatment plans based on continuous patient data.

• Improved Operational Efficiency and Accessibility: Connected medical devices help reduce manual errors, enhance workflow efficiency, and optimize resource use. Remote monitoring also expands access to quality care, especially in rural and underserved regions, while lowering costs.

• Advanced Analytics for Better Outcomes: Predictive analytics, powered by IoMT data, supports the early detection of health issues, enables tailored treatment planning, and advances personalized medicine.

• Integration, Compliance, and Future Innovation: Successful deployment depends on seamless integration with existing systems, strong cybersecurity, and adherence to regulatory standards (HIPAA, FDA, MDR). Emerging technologies—like 5G, edge computing, digital twins, and "disappearables"—are shaping the future of patient-centered care.

By 2030, more than 1.4 billion people worldwide will be over the age of 60, a silver surge that threatens to overwhelm healthcare systems already straining under the weight of chronic disease (WHO, 2024). In the U.S. alone, 90% of the nation's $4.1 trillion healthcare expenditure is devoted to managing long-term illnesses like diabetes, heart disease, and hypertension (NIHCM Foundation, 2025). Layer on the digital fragilities exposed by the COVID-19 pandemic, and the picture becomes clearer: our current healthcare model is not just outdated, it's unsustainable.

This is where the Internet of Medical Things (IoMT) enters the picture. 

Internet of Medical Things (IoMT) refers to the growing ecosystem of connected medical devices, software applications, wearables, and sensors that collect, transmit, and analyze health data in real time. These technologies enable continuous, remote patient monitoring and, in some cases, deliver automated therapeutic interventions - without the need for constant in-person visits.

IoMT: The Future of Connected Healthcare

Think of IoMT as the digital nervous system of modern healthcare, turning isolated clinical episodes into a seamless flow of actionable insights. From insulin pumps that automatically adjust dosage based on glucose levels to cardiac monitors that alert doctors to arrhythmias before symptoms appear, IoMT reimagines care as a dynamic, data-driven partnership between patients and providers.

With six in ten American adults living with chronic conditions (PCD, 2025), the traditional “checkup every few months” approach is not just inefficient, it’s potentially dangerous. IoMT flips the model: enabling earlier intervention, ongoing oversight, and a more personalized form of care that aligns with the realities of aging populations.

But the true power of healthcare IoT lies in its ability to rebalance the equation. It helps reduce the frequency and cost of emergency hospitalizations, lightens the workload of overburdened medical staff, and most importantly, empowers patients to receive quality care in the comfort and dignity of their own homes.

In a world where demand for care is skyrocketing while clinical resources remain limited, IoMT has become a strategic necessity. It charts a course toward a more scalable, sustainable, and human-centered future for global healthcare - one where living longer doesn't mean compromising on care.

Global Growth of IoMT: Connected Health Tech Is Reshaping Healthcare

The explosive growth of the Internet of Medical Things is being driven by groundbreaking developments across North America and Asia-Pacific - two powerhouse regions that have emerged as the epicenters of digital health innovation and are reshaping the global medical technology landscape. 

North America remains the largest IoMT market, driven by its mature digital infrastructure, high per capita healthcare spending, early adoption of consumer technology, and strong regulatory support. Nearly 96% of U.S. non-federal acute care hospitals have adopted certified electronic health records (EHRs) that integrate seamlessly with IoMT device data, enabling smarter, real-time care coordination (Grand View Research, 2024). Approximately 30% of U.S. adults currently use wearable medical devices, and nearly half are willing to share this data with healthcare providers to facilitate more personalized treatment plans (Precedence Research, 2025).

Leading health centers - including Mayo Clinic, Cleveland Clinic, and Johns Hopkins - are leveraging AI-powered IoMT platforms to support predictive diagnostics and clinical decision-making. As a result, the North American IoMT market exceeded $230 billion in 2024 and is projected to nearly triple by 2030, reaching an estimated $658 billion (Grand View Research, 2024).

Meanwhile, Asia-Pacific has emerged as the fastest-growing IoMT region, with a projected CAGR of over 20% through 2030 (KBV Research, 2023). This acceleration is fueled by massive investments in 5G connectivity, AI-driven diagnostics, smart hospital infrastructure, and cloud-based platforms.

Countries like China, Japan, and India are spearheading this growth. In China, public-private partnerships are driving the rollout of AI-enhanced smart hospitals (National Library of Medicine, 2025), while Japan is piloting robotic systems that integrate with IoMT devices for everything from routine care to advanced surgeries. In rural regions across Asia-Pacific, IoMT platforms are bridging critical access gaps, enabling virtual care delivery where physical healthcare infrastructure is limited (Omdena, 2025).

Looking ahead, the global IoMT market is expected to surpass $588 - 800 billion by 2030, and reach $1 trillion by 2033 - 2034 (Precedence Research, 2025), (Coherent Market Insights, 2025).

How IoMT Improves Patient Care: Use Cases and Real-World Examples

For decades, physicians and public health experts have emphasized that prevention is the foundation of good healthcare - not only for improving individual outcomes but also for reducing long-term system-wide costs. Despite efforts like screenings and education campaigns, prevention often remained aspirational, hindered by vague guidelines and inconsistent patient follow-through.

With the rise of the IoMT, prevention is finally gaining real traction. Connected health devices and sensors enable continuous, real-time monitoring, transforming preventive care from generic advice into personalized, data-driven action. Health interventions can now be based on hard data, delivered quickly, and tailored to each patient's specific risk profile.

This shift not only improves health outcomes but also makes economic sense. Preventing complications, hospitalizations, or disease progression early on is far less costly than treating advanced conditions. As the demand for cost-effective care intensifies, IoMT offers a scalable, evidence-based path to making prevention a practical reality.

Below, you will find IoMT use cases that demonstrate how these devices are transforming care delivery to be more proactive, personalized, and effective.

Remote Patient Monitoring (RPM)

Remote management of chronic conditions and post-operative recovery has become a cornerstone of modern healthcare, and IoMT makes it possible.

Managing chronic diseases and post-operative care remotely has become a new standard in modern healthcare.

• For diabetes, millions now rely on advanced continuous glucose monitors like the Dexcom G^ and Abbott FreeStyle Libre 3 to transmit glucose readings seamlessly to themselves and their care teams. This ongoing data exchange dramatically reduces emergencies and empowers patients with precise day-to-day control.

• In the realm of heart health, Medtronic BlueSync-enabled pacemaker paired with the MyCareLink Heart app allows patients to send pacemaker data directly to clinicians. This enables early intervention, often before symptoms even develop.

• For post-surgery recovery and cardiac rehabilitation, NHS patients use wearable ECG patches at home, which are monitored remotely by clinicians. This approach enables more precise recovery tracking and allows intervention as soon as any complications emerge, without the need for extra hospital trips.

Smart Medical Devices in Hospitals and Clinics

Within hospitals and clinics, smart IoMT devices enhance both clinical accuracy and operational efficiency. Connected ventilators, infusion pumps, and smart beds automate critical processes, reduce manual errors, and enable healthcare professionals to make informed decisions more rapidly.

Benefits:

• Enhanced patient safety through real-time monitoring and automated alerts

• Faster clinical workflows and reduced paperwork

• Better asset tracking and resource utilization

Examples:

• Smart infusion pumps reduce dosage errors with built-in software.

• Smart beds adjust automatically to prevent bedsores and assist with patient mobility.

• IoT-based RFID tracking prevents equipment loss and ensures vital tools are always available.

• More specialized wearables, such as BioBeat’s wireless blood pressure monitors, provide around-the-clock vital sign tracking that meets hospital-grade standards. Meanwhile, ResMed's connected sleep masks offer continuous data-driven management of sleep apnea, revolutionizing how sleep disorders are diagnosed and treated remotely.

• Another critical example is the ImpediMed SOZO, an FDA-cleared bioimpedance spectroscopy device used to detect and monitor lymphoedema, a frequent complication after cancer treatments. It can identify fluid buildup at a subclinical stage, allowing early preventive care long before visible swelling appears. The device delivers results in under a minute and can be used both in clinics and at home, with results automatically integrated into the patient’s medical records. It’s already in use at facilities like the KU Cancer Center, Blessing Health, and Inspira Health, helping improve outcomes for breast cancer survivors and other at-risk groups.

• Telemedicine and Virtual Care Platforms. IoMT is turning virtual visits into clinically rich interactions supported by real-time health data.

• Solutions like Philips HealthSuite integrate continuous streams of patient data, such as ECG and blood pressure, directly into virtual consultations. For patients with chronic heart failure in the U.S. and Europe, this approach offers hospital-level care without requiring in-person appointments, significantly reducing preventable admissions.

• In Australia, Observa Care kiosks bring IoMT-enabled diagnostic tools and specialist consultations to rural and underserved regions, eliminating travel barriers and improving care access for millions.

• Smart Implants and Remote Rehabilitation Monitoring. A new generation of smart implants is reshaping how clinicians monitor post-surgical recovery, especially for orthopedic and joint replacement patients in remote locations.

• The Zimmer Biomet Persona IQ is the world’s first “smart knee” implant. Embedded sensors collect and transmit key metrics, like range of motion, gait, step count, stride length, and walking speed, directly to a care team via the mymobility platform. This enables real-time tracking and allows clinicians to personalize recovery plans, intervene early if complications arise, and reduce the need for in-person follow-ups. The system is already in use at top clinics like the Mayo Clinic, OSSMSA, and others, improving outcomes and accessibility for patients who may not be able to attend frequent post-op visits.

AI-Powered Predictive Healthcare Using IoMT

By analyzing large volumes of IoMT-generated data, AI algorithms can detect health risks earlier than traditional methods. AI in healthcare, specifically predictive analytics, enables timely intervention, improves diagnostic accuracy, and supports personalized medicine strategies. Wearable health tech bridges the gap between consumer wellness and clinical-grade diagnostics, and in many cases, it’s saving lives.

Benefits:

• Early identification of deterioration or complications

• Optimized treatment planning based on predictive risk scoring

• Reduced preventable hospitalizations and medical costs

Examples:

• Apple Watch/Fitbit + AI detect heart rhythm anomalies in real time.

• Mayo Clinic’s AI for heart failure forecasts risk using data from wearables and EHRs.

• IBM Watson supports oncologists by analyzing tumor genetics to suggest personalized therapies.

• For people with epilepsy, the Empatica Embrace smartwatch is FDA-cleared to detect seizure activity and automatically alert caregivers. giving users greater independence and security.

Devices like the Apple Watch and Fitbit now come equipped with ECG capabilities that detect irregular heart rhythms, helping to identify conditions such as atrial fibrillation early.

Personalized Treatment and Remote Care

IoMT enables continuous, tailored treatment, particularly crucial for patients with chronic conditions or limited access to care. By leveraging real-time patient data to customize treatment plans, connected devices facilitate everything from medication adherence monitoring to virtual consultations, fostering ongoing collaboration between patients and healthcare providers.

Benefits:

• Individualized care plans that adapt in real time

• Expanded access to high-quality care in rural or underserved areas

• Increased adherence and engagement, leading to better outcomes

Examples:

• Smart pill dispensers track doses and alert caregivers when medications are missed.

• Connected health apps monitor sleep, movement, and treatment adherence.

• Telemedicine kits equipped with diagnostic tools offer full virtual exams in remote locations.

Future of IoMT in Healthcare: Interoperable, Scalable, and Patient-Centered Healthcare

Breakthrough sensors, smart implants, edge‑AI boxes, and 5G‑ready wearables are thrilling, but on their own, they rarely change outcomes. What moves the needle is how seamlessly those innovations integrate into the broader clinical ecosystem, including electronic health records, supply chains, reimbursement systems, and the daily routines of doctors and nurses.

In other words, tomorrow's Internet of Medical Things must behave less like a collection of clever devices and more like a living, interoperable fabric. That fabric needs rock‑solid security and maintenance pathways so IT teams can patch devices as easily as they update software. It needs embedded scalability so hospitals can go from ten connected beds to a thousand without tearing up infrastructure. And it needs an intuitive clinician‑first UX; if a device adds cognitive load instead of relieving it, it will gather dust on a shelf.

Only when connectivity, interoperability, upkeep, safety, and usability are baked in from day one do innovations translate into faster diagnoses, fewer readmissions, and better population-level insights.

Real-Time AI-Driven Insights from IoMT 

By continuously monitoring and comparing each patient's current health signals - like heart rate, movement, or blood pressure - against their personal history and the patterns of similar patients, AI algorithms can flag subtle, early signs of trouble that might otherwise go unnoticed. 

For example, a bedside monitor equipped with embedded AI can instantly detect a new pattern in a patient’s declining vitals that matches those of patients who previously developed sepsis. This preemptive alert lets the care team act much faster, potentially before lab results or symptoms confirm the problem. Rather than contributing more digital noise, these next-generation systems work quietly in the background, surfacing only the most urgent and relevant insights. 

The result is truly proactive healthcare: clinicians receive actionable guidance precisely when and where it matters, enabling tailored interventions, reducing emergency complications, and ultimately improving outcomes for at-risk individuals.

Edge Computing in IoMT: Data Processing for Better Care

When a heart failure patient's home monitor detects sudden weight gain, signaling dangerous fluid buildup - waiting for cloud processing isn't just slow, it's risky. Data must travel hundreds of miles to distant servers, wait in processing queues with thousands of other requests, then make the entire journey back.

Edge computing solves this by processing data locally on devices. A wearable can instantly alert patients or doctors about irregular heartbeats or blood pressure spikes without waiting for distant servers. Only serious cases get escalated for deeper analysis.

This approach prevents healthcare systems from drowning in routine data while ensuring urgent cases get immediate attention, and is exactly what healthcare needs to scale IoMT safely - supporting more patients without overwhelming networks or clinicians.

The smart devices close to patients are becoming the new center of medical technology, making healthcare faster, safer, and more reliable.

Invisible IoMT: How Smart Implants Are Powering Personalized Healthcare

Unlike wearables that rely on syncing, charging, and user engagement, smart implants operate silently from within the body. They don’t need reminders. They don’t need managing. They simply deliver continuous, objective recovery data without disrupting daily life.

Zimmer Biomet’s Persona IQ is a clear example: a smart knee implant that tracks walking speed, stride asymmetry, and range of motion—automatically streaming data to care teams via platforms like mymobility, providing a real-world insight into how a patient is actually healing.

It is not just the sensor that makes the solution unique, but the entire system. Smart implants only create real value when they’re connected to broader workflows: clinical dashboards, EHRs, personalized rehab programs. That’s what makes early intervention possible. 

They also remove barriers. There’s no app to learn, no wearable to remember. That makes them ideal for older patients, rural communities, and anyone for whom tech can be a burden.

IoMT and EHR Integration: Seamless Data Sharing Across Healthcare Systems

For the full promise of IoMT to be realized, seamless interoperability with Electronic Health Records is essential. When data from connected devices - be it wearables, smart implants, or remote monitoring tools - flows automatically into EHRs, healthcare providers gain a truly comprehensive, longitudinal view of each patient’s medical history.

This integration reduces the need for manual data entry, minimizes errors, and ensures that up-to-date information is always at hand. 

Blockchain in IoMT: Securing Health Data

Blockchain is quickly becoming the invisible infrastructure behind next-generation IoMT—addressing the sector’s most entrenched challenges: data security, interoperability, and trust. Its immutable ledger, end-to-end encryption, and decentralized design make it uniquely suited to protect sensitive health data as it moves between devices, systems, and stakeholders. 

But its real promise lies beyond encryption. Blockchain enables structured, rule-based data exchange through standards like HL7 FHIR and smart contracts, automating consent, managing access, and ensuring compliance without friction. It also reinforces device authenticity and supply chain transparency, two growing vulnerabilities in a rapidly expanding IoMT landscape. As IoMT becomes more interconnected, blockchain has a strong chance to become a logic layer holding the ecosystem together.

Still, it all comes with the costs. 

IoMT Challenges and Solutions: Cybersecurity, Interoperability, and Compliance in Connected Care

IoMT Security Risks: Protecting Patient Data 

The IoMT ecosystem thrives on interconnectedness. From smart thermometers to life-support systems, each connected device in the healthcare ecosystem enhances care—but also expands the attack surface. With this ecosystem each connected endpoint represents both an opportunity for enhanced patient care and a potential gateway for cyber intrusions.

As healthcare organizations scale their IoMT deployments to tens of thousands of connected endpoints, they exponentially expand their attack surface.

This paradox creates what security experts call the "connectivity dilemma": the more "points" in the ecosystem, the more potential gateways for intrusions and data breaches. A single compromised device can serve as a gateway to attack the entire healthcare network, allowing attackers to move laterally from a vulnerable monitor to core systems managing patient data. 

The scale of the problem is staggering: in 2024, healthcare organizations reported 238 confirmed data breaches compromising the personal information of more than 20 million individuals (AHA, 2024).

Key IoMT cybersecurity risks include:

Device hijackingCybercriminals can gain control of IoMT devices and alter their functions, potentially manipulating dosages on insulin pumps or causing heart monitors to malfunction. These attacks can have fatal outcomes when critical medical devices are compromised during patient treatment.

Ransomware attacksHealthcare has become the most targeted industry, with ransomware dominating as the leading cause of breaches. These attacks can encrypt vital systems and information, denying doctors access to patient records and potentially endangering patients' wellbeing.

Data breachesIoMT devices collect vast amounts of protected health information (PHI), which is highly valuable on the black market. Healthcare data has the highest value of any stolen identity data, making hospitals attractive targets for cybercriminals.

Network vulnerabilitiesMany IoMT devices serve as gateways for cyberattacks on entire healthcare systems. A vulnerability in one device can allow hackers to access entire networks, affecting thousands of machines simultaneously. 

Emerging Solutions: Protecting Patient Data in IoMT

To address rising cybersecurity and data privacy risks, healthcare systems are adopting advanced frameworks that emphasize decentralization, real-time verification, and patient-centric data control.

• Zero-Trust Architecture enforces a strict “never trust, always verify” policy. Every IoMT device, user, and system interaction is continuously authenticated, monitored, and segmented. Through microsegmentation and real-time policy enforcement, zero-trust minimizes the blast radius of potential breaches and ensures no implicit access is ever granted.

• Blockchain adds a tamper-proof layer to IoMT security by enabling trusted data exchange and lifecycle tracking. In federated learning contexts, it governs decentralized model training across healthcare institutions without moving patient data - preserving privacy while improving collaboration through smart contracts and verifiable governance.

• Federated Learning with Adaptive Privacy takes this further by using differential privacy algorithms that dynamically adjust data masking during training. This allows institutions to build high-performing machine learning models collaboratively without exposing raw data, striking a balance between data utility and privacy preservation.

Fixing IoMT Interoperability: Overcoming Device Compatibility

The greatest threat to IoMT isn’t just malicious breaches - it’s the inability to build a cohesive ecosystem in the first place. And the reason is deceptively simple: most IoMT devices still don’t speak the same language.

Despite technological progress, interoperability remains one of the most persistent roadblocks to large-scale IoMT adoption. Devices from different manufacturers often operate on proprietary systems, use incompatible communication protocols, or rely on outdated data formats. The result? A fragmented environment where integration becomes slow, costly, and error-prone.

Device communication barriers

IoMT ecosystems are composed of heterogeneous devices, each with its own firmware, architecture, and naming conventions. This makes it nearly impossible to enforce unified security policies or issue system-wide updates. 

Data format inconsistencies

Many devices still transmit data in proprietary or legacy formats, incompatible with modern health IT infrastructure. This disrupts the flow of information between devices, EHRs, and clinical decision support systems, requiring constant translation or manual intervention—both inefficient and risky in critical care settings.

Protocol multiplicity and semantic drift

The use of multiple or proprietary protocols is one of the top barriers to IoMT interoperability with semantic discrepancies - like inconsistent coding of medical terms, leading to data misinterpretation and processing delays.

How to Improve IoMT Interoperability

• Adopt industry standards: Use universal data standards like FHIR and HL7 for all new devices and integration projects. 

• Deploy middleware and gateway: Invest in integration platforms or IoT gateways that act as translators, converting proprietary or legacy formats into standardized outputs compatible with hospital records and analytics systems.

• Demand vendor compliance: When purchasing new medical technology, require vendors to support major healthcare interoperability standards and offer regular software updates for security and integration features.

• Support modular integration: Choose solutions that are modular, meaning they can scale up and plug in new devices as needed, without major rework or downtime.

• Leverage edge/cloud computing: Use edge computing to instantly harmonize data at the source, and cloud platforms for scalable, standards-compliant data access and storage.

Regulatory Challenges in IoMT: Navigating HIPAA, FDA, and MDR Compliance

Regulatory compliance in healthcare reflects the high stakes involved in the operation of medical devices. Unlike consumer tech, where failure might mean a bug or crash, IoMT devices affect diagnoses, treatments, and ultimately, lives. That's why healthcare systems must move with deliberate caution, accounting for privacy, safety, interoperability, and long-term reliability. But this caution, while necessary, makes compliance one of the most demanding aspects of IoMT innovation.

Major Frameworks Governing IoMT

HIPAA: Privacy with Precision

In the U.S., the Health Insurance Portability and Accountability Act (HIPAA) defines how electronic protected health information (ePHI) must be handled. These aren’t optional features; they’re the minimum bar for even beginning clinical deployment. IoMT devices must ensure:

• Encryption of data in transit (TLS 1.2+ / IPsec) and at rest (AES-256)

• Unique user authentication and automatic session timeouts

• Audit logging at the device level

• Full risk assessments of how ePHI is stored, created, and transmitted

FDA: Cybersecurity from the Start

Since September 2023, the U.S. FDA has expanded its expectations with the Cybersecurity in Medical Devices guidance. Devices that don’t meet these cybersecurity expectations are no longer approved for market entry, marking a shift from reactive safety checks to proactive digital assurance. It requires device makers to submit:

• Threat modeling and architecture diagrams

• Secure Product Development Framework (SPDF) evidence

• Penetration testing, code reviews, and vulnerability assessments

MDR: Europe's Regulatory Weight

In Europe, the Medical Devices Regulation (MDR) imposes strict pre- and post-market requirements, including:

• Comprehensive technical and clinical documentation

• Ongoing quality management and performance evaluation

• Enhanced post-market surveillance

However, bottlenecks persist. Following Brexit and MDR expansion, Approved Bodies in the UK and EU are severely overburdened, with some quoting six months just to determine availability for new device reviews.

Navigating the Regulatory Landscape

Compliance is complex not because regulators are slow, but because healthcare is complex. Approving a device means validating not only its technical performance, but also its safety, security, ethical impact, interoperability with hospital systems, and compliance with constantly evolving laws.

That’s especially difficult for AI-powered or connected devices, which evolve faster than regulatory frameworks. Many developers now start with FDA clearance before expanding to Europe, simply because access to approval bodies is limited or delayed.

To adapt, forward-thinking companies use:

• Phased compliance strategies starting with pilot markets

• Q-submissions and early dialogue with the FDA

• Regulatory sandboxes that allow controlled real-world testing

• Programs like the UK’s IDAP to accelerate market entry

Still, success depends not only on product quality, but on engaging with regulators early, building in compliance from the start, and accepting that in healthcare, speed must never come at the cost of trust.

Healthcare with IoMT: From Smart Devices to Human-Centered Care

The Internet of Medical Things is more than a network of sensors and implants, it’s a profound reimagining of care itself. What began as a quest for efficiency has evolved into a broader mission: restoring humanity to healthcare through intelligent, responsive systems that work with people, not just on them.

Challenges like cybersecurity, interoperability, and regulation aren’t signs of failure—they reflect the complexity of building something vital. As devices become smarter and more integrated, success won’t be measured in data, but in lives quietly improved.

When thoughtfully deployed, IoMT isn’t just technology—it’s a moral tool that can extend life, empower caregivers, and bring dignity to care in a connected, compassionate world. In the era of digital excess, IoMT is proof that tech can still be deeply meaningful.