Healthcare Transformed: Powerful IoT Applications Reshaping Patient Care
- Last Updated: June 25, 2025
Aeris
- Last Updated: June 25, 2025
As a leader in medical device innovation, you’re not just building equipment; you’re helping shape the future of healthcare. The Internet of Things (IoT) has opened the door to powerful, connected ecosystems, and the Internet of Medical Things (IoMT) is taking it even further. From diagnostic systems and wearable monitors to smart hospital beds, your technologies can create real-time, data-rich environments that support faster decisions and more personalized care.
Healthcare organizations nationwide increasingly rely on advanced IoMT solutions to drive better outcomes, improve workflows and elevate the patient experience. As you bring these innovations to life, you must also meet the moment with responsibility by prioritizing security, ensuring compliance and staying ahead of what’s next in connected care.
At the core of the IoMT are the myriad healthcare devices like those you design and manufacture to streamline healthcare workflows, support medical staff and improve patient outcomes. Here are some of the most common IoT applications in healthcare:
Use Case: Outpatient monitoring and early warning systems
Smartwatches and biosensor patches are commonly used to track vital signs such as heart rate, oxygen saturation (SpO2) and sleep quality. In clinical trials and cardiac rehab programs, smart wearables provide continuous data streams that help clinicians detect early signs of complications, like arrhythmias, before they become emergencies.
Use Case: Chronic disease management from home
IoT-enabled blood pressure monitors, glucose meters and weight scales transmit patient data directly to healthcare providers. RPM systems are widely used to manage conditions like hypertension, diabetes and congestive heart failure, helping reduce hospital visits and improve adherence to treatment plans. Medicare and Medicaid now reimburse many of these programs, highlighting their value in public health.
Use Case: Medication adherence and chronic disease management
Devices like smart inhalers and pill dispensers track doses and alert patients and caregivers if doses are missed. In conditions like asthma or Chronic Obstructive Pulmonary Disease (COPD), smart inhalers also detect environmental triggers and usage patterns, helping patients and doctors understand symptom fluctuations and optimize care.
Use Case: Real-time diagnostics and integration with AI tools
Ultrasound, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) devices now feature IoT connectivity, allowing scans to be shared instantly with radiologists across locations. Some systems use AI-enhanced imaging that processes data in real time, flagging abnormalities for review, accelerating time to diagnosis and supporting clinical collaboration across specialties.
Use Case: Enhanced inpatient safety and workflow efficiency
Smart beds monitor patient movement, pressure points and bed exits to reduce fall risksand pressure ulcers. Additionally, they can integrate with nurse call systems and Electronic Medical Records (EMRs) to automatically log data, reducing manual entry and improving care team coordination.
Use Case: Cardiac event detection and remote follow-up
Implantable devices, such as pacemakers and defibrillators, can feature remote telemetry that sends patient data directly to cardiologists, supporting proactive intervention and reducing in-person checkups post-surgery.
The world of IoMT is just grazing the surface of what’s possible with next-generation, IoT-enabled medical equipment. Innovators in the IoMT space have been crafting powerful solutions that support doctors and medical staff with procedures and diagnostics. Here are some examples of emerging technologies in IoMT:
Healthcare providers are flocking to IoT-powered medical devices for their clinical, operational and financial benefits. Moreover, major government agencies like Medicare and the Department of Veteran Affairs (VA) are actively supporting adoption in healthcare, especially for rural and chronic care, according to National Institute of Standards and Technology (NIST) healthcare recommendations.
Ways IoMT environments are reshaping healthcare delivery include:
In a highly regulated industry like healthcare, compliance isn’t optional — it’s mission-critical. The IoT devices used in healthcare that you design and build must meet stringent regulatory standards to ensure patient safety and protect sensitive data.
For example:
Unlike traditional medical hardware, IoT healthcare devices are dynamic and software-driven, requiring frequent updates and regular audits to verify compliance. Moreover, new regulations are rampant, such as the European Union’s Regulation 2017/745 (MDR) and Regulation 2017/746 (IVDR) , which require cybersecurity and post-deployment monitoring for IoT devices. To help your customers avoid fines and disruptions due to noncompliance, it’s essential to integrate security and compliance into your device development process from the start.
IoMT environments rely on hundreds to thousands of interconnected devices, systems and endpoints, which increases cybersecurity risk. IoT ecosystems designed for ease of use may be especially vulnerable to cybercrime if they rely on outdated software, lack sophisticated encryption, and communicate across organizations. In these instances, ransomware, data breaches and hacks can hold systems hostage, divulge sensitive info or jeopardize patient safety.
To combat these threats, medical device manufacturers must invest heavily in advanced cybersecurity solutions like encryption, endpoint protection and identity and access management (IAM). The global healthcare IoT security market is projected to grow from $0.74 billion in 2025 to $3.52 billion by 2034, a CAGR of 18.83%, according to Towards Healthcare IoT Security Market Trends. Additionally, providers should adhere to regulatory frameworks and guidance provided by the FDA and NIST.
Looking ahead, the IoMT landscape is poised for significant advancements. Artificial Intelligence (AI) will enhance all facets of the ecosystem, delivering accurate, real-time diagnostics, predictive analytics and even digital twins for personalized healthcare modeling.
Additionally, edge computing will improve IoT device response times and reduce latency by processing data closer to where it’s generated — at the “edge” of the network. At the same time, 5G connectivity will expand and facilitate real-time data exchange in remote or mobile care settings.
Healthcare is trending toward IoMT, with institutions adopting IoT devices worldwide, fueling innovation across hardware, software and connectivity infrastructure and opening new opportunities for proactive and efficient care delivery.
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