Have you noticed how fast monitoring apps and connected devices have become part of our everyday lives, shifting the way healthcare organizations started observing, caring for, and treating patients? The use of IoT technology has made the healthcare industry more patient-oriented and progressive.

While many healthcare providers have already implemented IoT in their projects, others are still planning their deployment but lack clarity on where and how to start. In this article, we explore IoT’s current role in healthcare, covering key use cases, benefits, best practices, real-world examples, and future perspectives to guide your IoT adoption journey.

An overview of IoT in healthcare

The internet of things in healthcare, also known as medical IoT or IoMT, refers to the network of interconnected devices and software systems that communicate to collect, monitor, share, and analyze health data for better diagnostics, patient monitoring, and treatment delivery. These devices include wearables, continuous glucose monitors (CGMs), and remote patient monitoring solutions to hospital asset and equipment tracking systems.

The healthcare industry has been steadily integrating IoT technologies to address a range of healthcare needs:

Monitoring patients with chronic diseases without the need to visit the clinic;
Shortening the time spent in hospitals;
Preventing readmissions;
Monitoring environmental conditions in hospitals;
Automating administrative and clinical workflows;
Conducting more advanced medical examinations.

IoT development helps healthcare organizations build a connected ecosystem of devices, software, and data platforms tailored to their specific clinical and operational needs. It should integrate with existinghealthcare software platforms and workflows for seamless data exchange and coordinated facility operations.

Healthcare IoT architecture

The architecture of IoT in the healthcare ecosystem typically consists of the perception, connectivity, data processing, application, process, and security layers. Let’s explore them.

Perception layer

The perception layer includes medical devices and sensors, smartphones, wearable devices, and various hospital equipment, along with RFID tags, cameras, and QR codes that capture patient health data and information about the medical facility environment. IoT devices can process these inputs and take action locally before transmitting the results to other systems.

Connectivity layer

The connectivity layer facilitates data transmission between the perception layer and other layers of the IoT architecture, connecting devices to data centers or the cloud through gateways. This layer includes wired and wireless communication networks, short-range and long-range connections, communication protocols, internet gateways, and edge devices.

Data processing layer

The data processing layer involves collecting, storing, transforming, and analyzing raw data from medical IoT devices. These processes rely on cloud-based and on-premises technologies such as databases, data lakes, real-time data processing platforms, and AI/ML tools. The resulting insights support patient monitoring, clinical decision-making, and healthcare operations.

Application layer

The application layer provides user-facing applications for interacting with healthcare IoT devices and data. It includes mobile apps, web portals, dashboards, and data visualization tools for monitoring patients, managing devices, and reviewing AI-driven insights. APIs and integrations link healthcare IoT solutions with EHR/EMR, HIS, and other systems, enabling connected device management.

Process layer

The process layer manages operations, security, and compliance for the healthcare IoT ecosystem. It covers governance, real-time system monitoring, incident management, device lifecycle management, software updates, and system configuration to ensure reliable and scalable IoT operations within the medical facility.

Security layer

The security layer protects healthcare IoT devices, systems, and sensitive patient data across the entire architecture. Each layer requires specific security measures, such as device authentication, data encryption, strict access controls, regular firmware updates, network segmentation, regulatory compliance (HIPAA, GDPR), and regular risk assessments and security audits.

The most common applications of IoT in healthcare include remote patient monitoring, telemedicine, hospital assets management, hospital environmental control, smart rooms, and medication monitoring. Let’s take a closer look.

1. Telemedicine

IoT technology supports telemedicine, enabling healthcare providers and patients to connect without being in the same physical location. IoT devices collect and track multiple patient data points instantly, such as vital signs, activity levels, and medication adherence. With the patient’s consent, this data supports physicians during remote consultations, helping them assess the patient’s condition and make informed treatment decisions.

IoT-enabled healthcare platforms can aggregate and analyze patient data. Doctors can use these reports to detect patterns, predict potential health risks, and personalize treatments. Moreover, IoT devices automatically send alerts if health indicators fall outside established norms or if a medication dose is missed. As a result, medical staff can provide timely interventions without requiring patients to visit a healthcare facility.

2. Remote patient monitoring (RPM)

Remote patient monitoring (RPM) employs IoT-enabled wearable devices to collect and transmit patient data, such as heart rate, glucose levels, oxygen levels, and blood pressure in real time. Continuous health tracking helps users better understand their body’s patterns, detect changes in time, and make informed decisions about their lifestyle or whether they need to visit a doctor.

IoT medical devices reduce hospital readmissions while improving patient comfort by allowing recovery at home. Remote patient monitoring devices are particularly important for chronic disease management, such as diabetes, hypertension, and heart disease, where ongoing tracking is crucial for timely intervention.

According to a 2025 Delphi study, 91.7% of participating clinicians identified remote patient monitoring as a key application of IoT in clinical practice. Another report from Medical Economics found that RPM reduced hospital readmissions for patients with heart conditions by 50% during the 30-day experiment.

3. Clinical operations and workflow management

IoT-based real-time location systems (RTLS) can automate numerous administrative tasks, from patient check-ins to appointment scheduling, reducing the burden on healthcare staff. These solutions rely on IoT sensors and tags to track the locations of patients and staff in real time. Analyzed data allows hospitals to monitor the patient journey from admission to discharge and identify delays, such as long queues in the admissions department or delays between treatment stages. In operating rooms, RTLS helps measure patient stay times and procedure durations, making it possible to identify bottlenecks and optimize operating room utilization.

Integrating RTLS with the electronic medical record (EMR) system helps staff eliminate duplicate data entry and reduce errors through automation. The RTLS system records which staff member is responsible for the patient, which room the patient is in, and when the patient is scheduled to be visited. This approach also aids in resource management. Managers can see departmental workloads in real time, quickly reallocate personnel and equipment, and manage bed turnover.

4. Hospital assets and inventory tracking

IoT-enabled tracking systems, like Bluetooth-based beacons, RFID, sensors, and QR tags, allow medical staff to monitor the real-time location and status of critical equipment, such as wheelchairs, infusion pumps, and defibrillators. This approach reduces the risk of equipment loss or breakdown and ensures that vital assets are available exactly when and where they are needed.

IoT-based systems can automatically track the availability of medical devices, medications, and consumables throughout the facility. They help forecast consumption and prevent stockouts or medication expiration. The importance of effective inventory tracking is shown by a 2025 case in which 11,160 vaccine doses were wasted, resulting in nearly $575,000 in losses. Automating inventory management with IoT reduces human error and streamlines the replenishment process.

IoT devices and sensors also enable monitoring of patient acuity, bed occupancy levels, and workflow dynamics, giving administrators the data needed to optimize shift schedules. More efficient staff allocation reduces nurses’ workload, cuts overtime costs, and lowers the risk of staff burnout.

5. Hospital environmental control

Different types of IoT sensors located across healthcare facilities monitor and control environmental conditions, such as lighting, temperature, humidity, air quality, and ventilation. The system transmits the collected data to a centralized platform, where medical personnel can access it. Connected systems constantly monitor environmental data, automatically adjust these parameters, and send alerts if readings fall outside acceptable limits. These actions help healthcare organizations maintain comfortable, safe conditions for patients and employees.

6. Automated medication management

IoT-enabled smart dispensers and sensors help avoid medication errors or missed doses. They automatically monitor dosages and treatment adherence in real time. The broader IoT solutions can track medication inventory, alert staff to potential drug interactions, and remind patients to take their medication. The collected data helps physicians assess adherence patterns and adjust treatment plans. This is particularly important in chronic diseases, where it is necessary to determine whether a medication is ineffective or the patient is simply not taking it.

During laboratory testing of an IoT-enabled smart pill dispenser, sensors confirmed each dose was dispensed, while a Bluetooth-connected mobile app notified caregivers if a dose was missed. The system achieved 96.8% dispensing accuracy and an average notification latency of 2.4 seconds. Older participants found smart pill dispensers easy to use.

7. Cold chain monitoring for vaccines and medications

IoT technology is used to systematically monitor medication conditions throughout storage and transport. Smart sensors monitor temperature, humidity, and light exposure for medications and vaccines in real time. In the event of any deviations that could compromise drug efficacy, these sensors immediately alert staff so they can take appropriate action. Modern monitoring systems based on IoT technology help reduce losses from cold chain breaches and cut the amount of discarded medications, ensuring patient safety.

8. Smart rooms

Modern clinics feature rooms with IoT sensors and devices that collect data about patients and their surroundings, helping staff respond to patient needs faster. Smart beds are equipped with pressure and weight sensors that monitor a patient’s respiratory rate, heart rate, sleep quality, and activity. This data helps staff identify patients at risk of pressure injuries (bedsores) and take preventive measures in time.

Other types of room sensors automatically detect when a patient falls or remains in the same position for an extended period, triggering alert for nurses to the need for immediate attention or a change in posture.

Finally, IoT sensors and devices can help control room environmental parameters. They automatically adjust heating and cooling systems to maintain the desired temperature. Staff can also change room settings remotely.

9. Robotic surgery

Some medical procedures are difficult to perform with human hands. Small IoT devices can help with the task. IoT-enabled surgical robots enable surgeons to carry out complex procedures with greater precision and control. Many robotic surgeries are minimally invasive, meaning they involve smaller incisions than traditional open surgery. This typically results in shorter recovery times, less pain, and minimal scarring. Moreover, robotic systems often include high-definition cameras that give surgeons a magnified, detailed view of the surgical area, improving surgical accuracy.

IoT has also transformed surgical training. Surgeons can use virtual reality (VR) and augmented reality (AR) technologies integrated with IoT systems to practice procedures in a risk-free environment. In addition, IoT enables remote collaboration among surgical teams, allowing experts to assist with surgeries from anywhere in the world and enhancing the expertise available during complex procedures.

Compared with conventional approaches, robotic systems reduced operative time by 25% and intraoperative complications by 30%, while improving surgical precision by 40% during procedures such as tumor resections and implant placements. These operations shorten recovery times by approximately 15%, improve surgeon workflow efficiency by 20%, and reduce healthcare costs by around 10%.

Benefits of IoT in healthcare

IoT in healthcare provides organizations with many benefits, including improved care quality, patient outcomes, resource utilization, operational efficiency, care accessibility, climate and energy control.

Improved quality of care

Wearable sensors and IoT devices collect data on patients’ health metrics and, when integrated with a monitoring platform, share it with medical professionals in real time. With access to up-to-date patient data, healthcare specialists better and faster coordinate and personalize treatment based on each patient’s specific symptoms.

Enhanced patient outcomes

With the use of wearable sensors and IoT devices, individuals can monitor their health conditions remotely. This approach leads to early detection of dangerous and barely noticeable changes, such as cardiac arrhythmias or sudden drops in oxygen levels. Thus, remote patient monitoring helps reduce the risk of complications and enables more precise and personalized treatment, leading to better patient outcomes.

Better resource utilization

Hospitals can use IoT-enabled devices to track the location, status, and availability of medical equipment, helping staff find it more quickly and reduce downtime. Real-time locating systems made medical equipment searches 86.8% faster and reduced delivery time by 20.9%, which lowered staff workload and allowed them to focus on patients who need more attention.

Increased operational efficiency

IoT automates routine processes in medical facilities, such as tracking supplies and medications, managing storage conditions, and monitoring vaccine temperatures and equipment status. Automated data collection reduces manual entry and human error, while the IoT system automatically notifies staff of issues. As a result, personnel can spend less time on administrative tasks and more on patient care.

Better care accessibility

Telemedicine with IoMT enables the remote delivery of primary care, treatment, and rehabilitation at home under remote physician supervision. Remote access to healthcare empowers patients to manage their health better while simultaneously expanding access to medical services, especially for the more than 2 billion people in remote areas who lack access to basic healthcare.

Cost reduction

IoT-enabled remote patient monitoring and real-time alerts for early detection help healthcare organizations monitor patients outside traditional care settings and identify changes in their condition early on. A 2025 study of 5,872 Medicare patients with chronic diseases found that a remote patient care program reduced total healthcare costs by $1,302 per patient per year and lowered hospitalizations by 27%. According to the Delphi study, 45.8% of participating clinicians identified cost savings as a vital benefit of IoT in healthcare.

Energy and climate control optimization

By continuously monitoring hospital parameters, IoT sensors allow healthcare organizations to maintain suitable environmental conditions for patients and ensure safe storage of medications and biospecimens. They also help automatically adjust heating, ventilation, and air conditioning (HVAC) systems based on current conditions and room occupancy, improving energy efficiency. According to a hospital study, an IoT-based system that automatically adjusts HVAC settings based on actual patient presence in a surgical unit reduced energy consumption by 30%.

Best practices for implementing IoT in healthcare

There are some tips that can help medical organizations implement IoT securely and cost-effectively.

Ensure reliable IoT system connectivity

Medical IoT systems support mission-critical processes, such as remote patient monitoring and the operation of connected equipment. For this reason, the network must provide high availability, low latency, and stable coverage. Otherwise, connectivity failures can cause data loss, delays in decision-making, and missed alerts about patient status or equipment operation.

To improve reliability, hospitals can use redundant communication channels, such as Wi-Fi as the primary connection and a cellular network as a backup. Local data storage helps prevent data loss when the connection is unstable, while automatic synchronization allows devices to upload stored data once the connection is restored.

Before IoT implementation, hospitals need to test the connection under real-world conditions, as signal quality can vary significantly by location. After launch, continuous monitoring and periodic testing help maintain reliable connectivity.

Design an IoT system for regional scalability

Medical IoT solutions may be deployed across countries and must account for local requirements for data protection and medical device certification. Regulatory requirements can vary significantly by region. Medical organizations must check local regulations on patient privacy, data consent, data storage, and device operation and certification in advance of IoT deployment. Early regulatory review helps avoid redesigns, launch delays, and legal risks.

Global scaling also requires a flexible technical infrastructure. IoT devices may operate across various mobile networks and roaming conditions, while users may require different languages and technical support channels. It’s vital to build a scalable architecture that enables centralized management of regional differences and allows the IoT system to expand to new markets without being rebuilt.

Choose a reliable connectivity management platform (CMP)

A connectivity management platform (CMP) coordinates interactions of deployed IoT devices throughout their lifecycle. The platform provides organizations with features such as SIM management, network usage monitoring, security, troubleshooting, integrations, billing, real-time analytics, and reporting.

In healthcare, CMP allows medical staff to analyze IoT data traffic, quickly identify connectivity issues with medical devices, and reduce the risk of downtime and data loss. It simplifies connectivity orchestration, automates device lifecycle management, and ensures reliable performance for end users across global networks.

Implement zero trust architecture

Zero trust architecture is based on the principle of “never trust, always verify.” It eliminates default trust for all connected IoT devices and requires them to prove their legitimacy before gaining access to applications and patient data.

Putting this approach into practice involves verifying the identity of every device and user, limiting access with the principle of least privilege, and applying microsegmentation. Legacy devices also require additional protection, including encrypted traffic and compensating security when upgrades are not possible. Continuous real-time monitoring can detect unusual device behavior and automatically block or isolate devices affected.

Zero trust architecture is especially useful for the IoT ecosystem as it includes many devices that often run lightweight operating systems and maintain constant network connections, creating vast attack surfaces. Implementing zero trust architecture in IoT helps healthcare organizations reduce breach risk, limit the impact of compromised devices, and meet regulatory requirements such as HIPAA through multiple security and privacy mechanisms.

Continuously monitor the IoT ecosystem

The IoT ecosystem includes a wide range of devices, gateways, networks, and applications that work together cohesively. If a problem occurs within any of these components, it can affect the availability of critical medical services, disrupt patient monitoring, and delay clinical decisions. It’s crucial to monitor the entire IoT ecosystem, including device health, network performance, data flow, application performance, and security across all layers.

Healthcare organizations should automate monitoring systems, set clear thresholds for key metrics, and configure real-time alerts. It’s recommended to combine dashboards and centralized logging with security monitoring to spot unusual device behavior, unauthorized access attempts, and configuration changes. Organizations also need to use historical data and analysis to predict failures and plan preventive maintenance.

Our team spent a long time working on HealthRhythms, a mental health support platform. In my experience, data privacy and security are among the most important and underrated aspects of healthcare software development. When you handle health information, security has to be part of the design from day one, because it shapes how you collect, store, and share data, and how you connect external devices to the system.

Since our client was based in the US, HIPAA compliance was a key consideration. Whenever we introduced a new feature or integration, we checked whether it met HIPAA requirements. We put infrastructure-level safeguards in place to protect sensitive data and control access to it. We also encrypted data in transit and at rest, enforced role-based access with audit logs, and kept real user data out of dev and staging environments. The main point is that privacy and security can’t be bolted on at the end, instead they have to inform architectural decisions from the start.

Deputy Head of Android department at SoftTeco

Nikita Kim

Real-life examples of IoT in healthcare

Most healthcare companies partner with software providers to build connected apps and platforms for their clients, letting them monitor and support their health on their own.

Health and chronic condition management app

SoftTeco created a cross-platform application for health and chronic condition management. The solution is designed for people with prediabetes, type 1 or type 2 diabetes, and anyone who cares about their health. Using it, users can track key metrics such as blood glucose levels, blood pressure, heart rate, glycated hemoglobin (HbA1c), weight, BMI, step count, calories, and medication adherence.

The app goes beyond health tracking by also providing personalized guidance through an animated health coach. She guides users through exercises and interactive videos, helps them set goals, and keeps them on track with game-like rewards. The system connects to IoT-enabled apps and devices, such as Apple Health, Samsung Health, Fitbit, and clients’ glucometers, letting users automatically collect, track, and monitor their health data through customizable charts, graphs, and gamification features.

Mobile app for heart rate monitoring

The system analyzes each recording using AI algorithms and displays the results immediately. Users can add information about symptoms, physical activity, and other notes. They can also track changes in heart rate and rhythm and generate PDF reports to share with their doctor.

Heart rate monitoring app, Kardia. Source