IoT for Connected Medical Devices

IoT for Connected Medical Devices In Brief

Used for diagnostics, care delivery, disease management and prevention, IoT for connected medical devices reduces unnecessary clinic visits by 25% and hospital stay by 33%, and saves up to 30% of medical staff time for vitals entry.

Market Overview of IoT for Connected Medical Devices

The IoMT market for connected medical devices (stationary, wearable, implanted) was estimated at $26.5 billion in 2021. By 2026, it is expected to reach $94.2 billion, growing at a CAGR of 28.9%. The market growth is spurred by IoT technology and advancements in medical devices connectivity (e.g., 5G, Bluetooth). Among adoption drivers, there are also increasing healthcare services costs, rising prevalence of chronic diseases, the growing focus on care quality and patient safety.

How IoT for Connected Medical Devices Works

Architecture

ScienceSoft’s experts recommend the following architecture for an IoT system connecting medical devices:

• Connected medical devices (e.g., insulin pump, ECG patch) – collect patient data to transfer it to the cloud server or deliver therapy.
• Gateways – filter, preprocess, and transmit patient data from the connected devices to the cloud; transmit control commands to connected medical devices.
• Firewall – ensures secure transmission of collected data to the cloud server.
• Streaming data processor – processes and transfers input data from the connected medical devices to the data lake and the control app.
• Data lake – stores patient data from the connected medical devices in the natural format.
• Big data warehouse – stores structured data from the connected medical devices for analysis.
• Data analytics – used to interpret data from the connected medical devices (e.g, vitals, treatment delivery, medication intake), identify trends, and deliver insights (e.g., preliminary diagnosis, recommended treatment adjustments).
• Machine learning module – used to identify patterns in patient symptoms, vitals, etc., and create ML models that power up the control application.
• Control application – triggers actions in the connected medical devices.
• Software business logic – lets patients and medical staff access data gathered by the connected medical devices, stores new configurations of medical devices and monitoring parameters, etc.
• Medical staff interface – enables medical staff to get alerts on critical changes in the patient state, configure threshold monitoring parameters for alerts, adjust a treatment plan, view patient data analytics insights, etc.
• Mobile patient health app – enables patients to review connected devices’ data (e.g., heart rate, glucose levels, device state), get alerts on suspicious health parameters, initiate consultations with medical staff, etc.
• Admin interface – enables viewing the list of current users (patients and medical staff) of the IoT system for connected medical devices, manage access to the system, etc.

Viable integrations

Use Cases

Key Features

In projects featuring connected medical devices, ScienceSoft ensures the following set of fundamental features and expands it further depending on the specific needs of our clients.

Challenges of IoT for Connected Medical Devices and How to Tackle Them

Implementation Costs

IoT for Connected Medical Devices: ScienceSoft’s Consulting and Development Services

ScienceSoft brings 13 years of experience in IoT and 19 years in healthcare to provide you with reliable IoT software connecting a range of medical devices. You set goals, we drive the project to fulfill them in spite of time and budget constraints, as well as changing requirements.