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Smart Medical Devices: Architecture, Features, Tech Stack

IoT Software for Smart Medical Devices - ScienceSoft

With 17 years of experience in healthcare software development and 11 years in IoT, ScienceSoft is fully equipped to advise on and implement IoT-based medical device software.

Smart Medical Devices Market Overview

The global smart medical devices market is expected to amount to $23.5 billion by 2027 at a CAGR of 23.5%. The popularity of smart medical devices is based on the need to closely check such illnesses as diabetes, asthma, COPD, etc., and limited access to on-site medical monitoring due to the COVID-19 pandemic.

How IoT Software for Smart Medical Devices Works

Architecture

Architecture of IoT Software for Smart Medical Devices - ScienceSoft

  • Smart medical devices (e.g., ECG monitors, spirometers) – to collect patient data or deliver therapy; equipped with connectivity capabilities (e.g., via Wi-Fi, NFC) and actuators to trigger a set of pre-programmed actions (e.g., for insulin pumps to adjust insulin dosage).
  • Gateways – to filter, preprocess, and transfer data from the patients’ devices to the cloud, transmit control commands to the smart medical devices, etc.
  • Cloud gateway – to compress data from smart medical devices and transmit it from gateways and the cloud IoT server in a secure and efficient way.
  • Streaming data processor – to transmit the input data from smart medical devices to the data lake and control apps.
  • Data lake – to store PHI data collected by smart medical devices in its natural format.
  • Big data warehouse – to store structured data for further analysis of patient progress, symptoms, etc.
  • Data analytics – in-depth analysis of collected patient health parameters or therapy device use patterns to spot trends and produce insights for further diagnosing, treatment or lifestyle adjustments, etc.
  • Machine learning module and ML models – to recognize certain patterns in patient symptoms or vitals and create a model for a control application to improve patient care precision and efficiency (e.g., to improve heart failure therapy delivered by implantable cardiac defibrillator).
  • Control application – to send commands to actuators installed in smart medical devices to trigger device actions.
  • Software business logic – to provide medical device monitoring data to patients and doctors, record new device configurations, etc.
  • Medical staff interface – to enable nurses, doctors, etc., to access the patient health monitoring data, get alerts on critical changes in it, configure threshold vitals parameters for alerts, adjust dosages of medications, view the insights on patient health state based on smart device data analysis, etc.
  • Patient interface –to allow patients to view their health parameters (e.g., heart rate, glucose levels) and the state of a connected device, get alerts on suspicious health parameters, etc.
  • Admin interface – to view the list of current software users (patients and medical staff), manage access to the system, etc.
  • EHR integration – for an integrated view of patients’ medical history (chronic conditions, allergies, etc.), etc.

Medical staff can monitor the vitals of patients with chronic medical conditions (e.g., COPD, diabetes, cardiovascular diseases) provided by smart medical devices to spot slow or abrupt changes in the health state and adjust treatment routines.

Remote care delivery

Patients can get therapy using smart therapeutic devices (e.g., insulin pens, smart inhalers, smart gloves for motor functions rehabilitation). The medical staff gets data on therapeutic device use (e.g., asthma treatment delivery, insulin injection), metrics on patient performance during physical therapy sessions, the patient recovery process, etc.

Patient diagnostics

Based on the analysis of continuously collected patient health data (e.g., heart rate, blood pressure), doctors can make informed decisions on patient diagnosis and further treatment, assess risks of disease progression, etc.

Medication plan adherence monitoring

With data from devices like smart pill bottles or smart insulin pens, doctors can remotely track patients’ medication intake (the dosage, the missed medications, etc.), check the medication adherence and efficiency, tune recommended dosage. Patients can also get automated notifications to take medications in time.

Paramedics patient monitoring

When the ambulance is delivering a patient to the hospital, wireless patient monitoring solutions allow doctors in the hospital to track a patient’s condition in real time and plan the patient care (including emergency surgeries).

Sports medicine

During the training, athletes can use wearable medical devices (e.g., heart monitors) for sports physicians to get a real-time health state and health risks assessment, an athlete’s performance data, and issue recommendations on the training plan.

Patient health data analytics

Patient health data from connected medical devices is automatically stored, processed and analyzed in real time using AI to identify trends and predict the course of the disease, detect hazardous symptoms at an early stage, etc. The generated insights are presented in dashboards and reports for the medical staff to track patients’ health state improvements, diagnose patients, adjust the treatment, medication efficiency or plan additional screenings.

Automated treatment delivery

Smart therapeutic devices (like an insulin pump) can automatically deliver treatment or indicate that treatment is needed (e.g., using a sound signal) if the IoT system identifies the need for treatment (e.g., if a connected glucose monitor shows a high level of blood glucose). Based on the collected diagnostic and historical data, the necessary medication dosage can be calculated.

Medication intake tracking

Analysis of medication intake data automatically uploaded from connected medical devices (e.g., insulin pump) and vitals from diagnostic medical devices provide insights on patient adherence to a treatment plan, medication dosage efficiency, etc.

Alerts to patients and doctors

The patients and doctors are automatically alerted when health parameters collected by medical devices are lower or higher than the set threshold parameters (indicating a potentially unsafe condition for a patient). The system also sends alerts on missed medication.

Configuration of monitoring and treatment delivery parameters

Using historical data on a patient’s health state and medical history, a doctor can configure monitoring parameters of smart medical devices to tune them to a specific patient and their medical condition. ML algorithms identify patterns in the patient’s health state, which can trigger automated adjustment of the treatment delivery.

Smart Health Devices in Practice: Projects by ScienceSoft

Mobile Baby Care App for a Smart Baby Care System

Development of a Mobile Baby Care App for a Smart Baby Care System

Customer: A European distributor of globally acknowledged brands, who owns several product lines in healthcare and other industries.

Solution: ScienceSoft created from scratch a mobile baby care app for parents that enables remote control of branded smart devices for baby care (e.g., to set formula milk maker to the needed amount of milk) and automatically collects baby data from smart devices (e.g., baby’s weight from scales, baby’s body temperature from thermometer).

Want to Create Software Connecting Your Medical Devices?

With 10 years of experience in IoT, ScienceSoft can power up any smart medical devices with robust IoT software to enable remote patient monitoring, diagnosing, treatment delivery, and more.

Technology Elements

Device connectivity

Wi-Fi
5G
Bluetooth
Bluetooth Low Energy
NFC
Zigbee
NB-IOT
LoRaWAN

Cloud services

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Real-time data streaming

RabbitMQ
Kafka Streams
Apache Storm
Apache Flink
Spark Streaming
Amazon Kinesis Data Streams
Azure Event Hubs

Data lakes

Hadoop Distributed File System
Azure Data Lake

Databases / data storages

SQL

Microsoft SQL Server
MySQL
Oracle
PostgreSQL

NoSQL

Apache NiFi
MongoDB

Cloud databases / data storages

AWS

Amazon Relational Database Service
Amazon S3
Amazon DocumentDB
Amazon ElastiCache

Azure

Azure SQL Database
Azure Blob Storage

Google Cloud Platform

Google Cloud SQL
Google Cloud Datastore

IoT data analytics

AWS

AWS IoT Analytics

Azure

Azure Stream Analytics

Others

Apache Cassandra
Apache HBase
Hadoop
Apache Spark

Back end programming languages

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Front end programming languages

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Languages

HTML5
CSS

JavaScript frameworks

MeteorJS
Vue.js
Next.js
Ember.js

Mobile

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Challenge #1

There is a risk of legal penalties if the personal health information (PHI) collected and transmitted by smart medical devices gets compromised.

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Solution

To prevent unauthorized parties from accessing, altering, profiting from patient data, ScienceSoft’s healthcare project teams always include a regulatory consultant. The consultant helps ensure full compliance with HIPAA requirements and software security with data access control and user authentication measures, data encryption, etc.

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Challenge #2

Improper usage of smart medical devices can affect the accuracy of remote patient monitoring data.

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Solution

In smart device-related projects, ScienceSoft collaborates with customers to create smart device instructions (e.g., on designated device use, app-device pairing, device maintenance) and adds them to the patient app. Pop-up instructions are displayed on users’ smartphones/tablets when needed.

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Key Cost Drivers

General investment size factors

  • Scope and complexity of medical device software features.
  • A number of smart device types connected to IoT software.
  • Device connectivity technologies used (e.g., NFC, Wi-Fi, Bluetooth).
  • The number of software user roles (e.g., patient, doctor, nurse).

Additional investment size factors

  • Costs of smart medical devices.

Operational costs

  • Cloud services usage (e.g., cloud data storage and analytics).

IoT Software for Smart Medical Devices: Consulting and Development by ScienceSoft

Being ISO 13485 certified, ScienceSoft is well-equipped to power up smart medical devices with robust medical IoT software in line with the requirements of the FDA and the Council of the European Union.

IoT software for smart medical devices: consulting services

What we do:

  • Outline the functionality of future IoT software for smart medical devices based on your business needs.
  • Create a high-level architecture design (featuring APIs for the required integrations with medical systems) and detail integrations with chosen smart medical devices (e.g., via Wi-Fi, Bluetooth).
  • Estimate the cost, ROI, and software delivery timelines.
  • Provide an action plan for compliance with HIPAA, HITECH, FDA regulatory requirements.
Go for IoT consulting

Development of IoT software for smart medical devices

What we do:

  • Conceptualize IoT software for smart medical devices based on your high-level or detailed requirements.
  • Create a comprehensive software feature list.
  • Plan a flexible and scalable software architecture and integration with medical devices.
  • Develop the MVP with priority features in 3-6 months and roll out other functionality upon the agreed schedule.
  • Ensure IoT software compliance with required regulations (HIPAA, HITECH, etc.).
  • Maintain software and work on its evolution (if required).
Go for IoT development

About ScienceSoft

ScienceSoft is a US-headquartered international IT consulting and software development company with 11 years of experience in IoT and 17 years in healthcare software development. Holding ISO 13485 certification, we create software for smart medical devices according to the requirements of the FDA and the Council of the European Union.