Remote Cardiac Monitoring: Overview

Remote Cardiac Monitoring - ScienceSoft

In healthcare software development since 2005, ScienceSoft leverages its IoMT expertise to design and develop remote cardiac monitoring solutions for real-time visibility into patients’ heart conditions.

Remote Cardiac Monitoring In Brief

Remote cardiac monitoring (RCM) solutions proved to be highly efficient when used for cardiac disease monitoring and prevention, outpatient, postoperative, prenatal and athletic monitoring. The solutions leverage technologies like IoT, artificial intelligence, machine learning to continuously monitor patients' cardiac parameters. According to the research, RCM helps reduce atrial arrhythmia hospitalizations by 65% and reduce cardiac patients’ hospital stay length by 9-17%.

Remote Cardiac Monitoring Market

The remote cardiac monitoring market was estimated at $4.98 billion in 2021 and expected to amount to $31.67 billion by 2028 at a CAGR of 30.3%. The demand for remote heart monitoring solutions grows due to the spread of cardiovascular diseases worldwide and the risks of on-site visits caused by the COVID-19 pandemic.

How Remote Heart Monitoring Works

Architecture

A remote cardiac monitoring solution usually consists of the following elements:

Smart cardiac devices

– connected medical devices (e.g., an implantable cardiac monitor, a cardioverter-defibrillator, an artificial pacemaker, a wearable sensor, a loop recorder) that collect cardiac data (e.g., heart rate) and send it to the cloud server for storing and analysis.

Patient mobile application

– for patients to view their cardiac health parameters (e.g., heart rate, cardiac events) and the state of a connected cardiac device, log their symptoms, etc.

Cloud server

– for storing, processing and analyzing device-generated data (e.g., heart rate, tachycardia cases), analyzing patient information from EHR (e.g., new prescriptions), etc.

Doctor application

– providing a cardiologist, a primary care physician, a physiotherapist, other healthcare specialists, with data on connected cardiac device state, patients’ cardiac health reports and alerting medical staff on detected cardiac abnormalities.

Admin web panel

– to manage multiple user role settings (e.g., enable or restrict cardiac monitoring data review and cardiac monitoring reports editing), update cardiac care specialists’ schedules, confirm online appointment requests, etc.

Cardiac rhythm management device monitoring

The solution enables a patient, a cardiac device technician, and a doctor to check data from a patient’s implantable rhythm management device (performance, battery life, etc.) and get notifications on the risks of device malfunction or patient’s health abnormalities.

Cardiac disease prevention

The solution provides a doctor with a patient’s data from an RCM device (e.g., ECG patch) and reports about identified abnormalities (e.g., arrhythmias, palpitations, bradycardia). The doctor can spot the developing pathologies (e.g., atrial fibrillation, atrial flutter), schedule more detailed patient screening, prescribe therapy and medications, etc.

Outpatient and postoperative monitoring

After a patient is discharged from a hospital or diagnosed with a chronic cardiac disease (e.g., heart failure), a cardiac care team can monitor an outpatient’s real-time cardiac data (e.g., via heart rate monitor, blood pressure monitor, pulse oximeter) and receive notification if the risk of cardiac complications is identified.

Prenatal cardiac monitoring

For higher-risk pregnancies (patients with diabetes, cardiovascular diseases, etc.), the solution enables non-invasive maternal and fetal heart rate monitoring to identify complications early, which results in improved prenatal care quality and maternal and fetal outcomes.

Sports medicine

While training, athletes can use dedicated RCM solutions to get a health state assessment from a sports doctor and consultations on their cardiac health and training program to maximize the benefit of their physical training and reduce heart risks.

Detection of cardiac symptoms

The solution processes cardiac devices’ signals to accurately detect a heartbeat, classify beats, eliminate side noises. Using ML, an advanced RCM solution identifies changes in heart rhythm from normal parameters (e.g., detects arrhythmia, ventricular tachycardia, atrial fibrillation) and notifies patients and doctors.

Cardiac data analytics and automated RCM reports generation

The RCM solution automatically logs, processes and analyzes cardiac data using AI to identify trends and predict cardiac events. The insights (e.g., predicted cardiac events) are visualized on doctor-facing dashboards and reports. Based on this data, doctors can adjust the treatment, training program, or schedule examinations.

Configuration of threshold monitoring parameters

Based on a patient’s health records, a doctor can configure monitoring parameters for the detection of symptoms specific to a patient’s disease. If the measurements exceed pre-set thresholds, the system automatically sends an alert (e.g., an app dashboard alert, email, SMS) to a patient, a cardiologist, a cardiac nurse, etc.

Device failure identification

Thanks to IoT-based device tracking, the RCM solution (e.g., pacemaker remote monitoring system) detects actual and potential hardware failures and device programming errors and alerts a patient, a cardiac technician, or a doctor about them.

Symptoms log for patients

A patient logs cardiac and cardiac-related symptoms (e.g., palpitations, shortness of breath, stress, fatigue) and their lifestyle habits (diet, physical activity, etc.) to provide a cardiac care team with the overall patient’s health state view.

Online patient-doctor communication

Doctors can schedule e-visits to check patients’ health state, provide them with care instructions and feedback on medical tests’ results in real-time, etc. Patients can also initiate communication with a cardiologist using an in-app chat to discuss new symptoms and get advice on their alleviation, or schedule a telemedicine appointment with a doctor.

Remote Cardiac Monitoring Solution: Project Example by ScienceSoft

Customer

Solution

Project details

Want to Build Remote Heart Monitoring System?

ScienceSoft can help you develop a full-scale system for remote cardiac monitoring integrated with smart cardiac devices and leveraging advanced techs (AI, big data, etc.).

Technology Elements for RCM Solutions

Cloud databases, warehouses and storage

AWS

Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

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Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

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Azure

Azure Cosmos DB

We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.

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Azure SQL Database

Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.

Google Cloud Platform

Google Cloud Datastore

We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).

Analytics of cardiac data

AWS

Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

Find out more
Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

Find out more

Azure

Azure Cosmos DB

We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.

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Others

Apache Cassandra

Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.

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Apache HBase

We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.

Apache Hadoop

By request of a leading market research company, we have built a Hadoop-based big data solution for monitoring and analyzing advertising channels in 10+ countries.

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Apache Spark

A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.

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Real-time data processing

Admin web panel development

Back end

Microsoft .NET

Practice

19 years

Projects

200+

Workforce

60+

Our .NET developers can build sustainable and high-performing apps up to 2x faster due to outstanding .NET proficiency and high productivity.

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Java

Practice

25 years

Projects

110+

Workforce

40+

ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.

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C++

Practice

34 years

Workforce

40

ScienceSoft's C++ developers created the desktop version of Viber and an award-winning imaging application for a global leader in image processing.

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Python

Practice

10 years

Projects

50+

Workforce

30

ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.

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Golang

Practice

4 years

ScienceSoft's developers use Go to build robust cloud-native, microservices-based applications that leverage advanced techs — IoT, big data, AI, ML, blockchain.

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PHP

Practice

16 years

Projects

170

Workforce

55

ScienceSoft's PHP developers helped to build Viber. Their recent projects: an IoT fleet management solution used by 2,000+ corporate clients and an award-winning remote patient monitoring solution.

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Node.js

Practice

10 years

Workforce

100

ScienceSoft delivers cloud-native, real-time web and mobile apps, web servers, and custom APIs ~1.5–2x faster than other software developers.

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Front end

JavaScript

Practice

21 years

Projects

2,200+

Workforce

50+

ScienceSoft uses JavaScript’s versatile ecosystem of frameworks to create dynamic and interactive user experience in web and mobile apps.

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React JS

Workforce

80+

ScienceSoft achieves 20–50% faster React development and 50–90% fewer front-end performance issues due to smart implementation of reusable components and strict adherence to coding best practices.

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Angular JS

Practice

13 years

Workforce

100+

ScienceSoft leverages code reusability Angular is notable for to create large-scale apps. We chose Angular for a banking app with 3M+ users.

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Vue.js

By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.

Mobile applications development (for patients and doctors)

iOS

Practice

16 years

Projects

150+

Workforce

50+

ScienceSoft’s achieves 20–50% cost reduction for iOS projects due to excellent self-management and Agile skills of the team. The quality is never compromised — our iOS apps are highly rated.

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Android

Practice

14 years

Projects

200+

Workforce

50+

There are award-winning Android apps in ScienceSoft’s portfolio. Among the most prominent projects is the 5-year-long development of Viber, a messaging and VoIP app for 1.8B users.

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Xamarin

Practice

11 years

Projects

85+

Workforce

10+

ScienceSoft cuts the cost of mobile projects twice by building functional and user-friendly cross-platform apps with Xamarin.

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Apache Cordova

ScienceSoft uses Cordova to create cross-platform apps and avoid high project costs that may come with native mobile development.

React Native

Practice

8 years

Projects

300+

ScienceSoft reduces up to 50% of project costs and time by creating cross-platform apps that run smoothly on web, Android and iOS.

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Flutter

ScienceSoft will save you from double or even triple expenses associated with platform-specific coding by creating cross-platform apps in Flutter.

Ionic

With Ionic, ScienceSoft creates a single app codebase for web and mobile platforms and thus expands the audience of created apps to billions of users at the best cost.

Challenge #1

Accuracy of cardiac measurements can be compromised due to improper usage of remote cardiac monitoring devices by patients.

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Solution:

To help patients improve the quality of measurements, add instructions on app-device pairing, device location and operation, etc., to a patient app. For example, for ECG sensors, the app can regularly send notifications reminding a patient to check the sensor’s location, integrity, etc.

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Challenge #2

The system can misinterpret predictable changes in cardiac data (e.g., change in the heart rhythm due to drug intake) as potential cardiac risks and send false alarms to the patient app and the doctor app.

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Solution:

ScienceSoft recommends integrating the RCM solution with EHR to get the information about a patient’s prescriptions that may change the cardiac measurements and add a medication intake log for patients. After that, the normal parameters in the RCM analytics algorithms can be adapted to the changes in the treatment resulting in a minimized number of false positive alarms.

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Cost Drivers and Investments

ScienceSoft defines the cost of development of a remote patient monitoring system for cardiac patients by analyzing the following factors:

General investment size factors

  • The complexity of cardiac monitoring solution features (including those in a patient app, a doctor app, and an admin web panel).
  • A number of cardiac device types connected to the software.
  • Connectivity technologies of cardiac devices (e.g., Wi-Fi, Bluetooth).
  • The number of user roles.

Operational costs

Cloud services usage (e.g., cloud data storage and analytics, cardiac devices connectivity).

The cost of a remote cardiac monitoring application ranges from $200,000 to $250,000+, according to ScienceSoft’s experience in healthcare IT.

Remote Cardiac Monitoring Solution Consulting and Development

With 18 years of experience in healthcare IT and 12 years of experience in IoT, ScienceSoft’s team helps design and build advanced remote cardiac monitoring systems.

Remote cardiac monitoring solution consulting

  • Market and competitors’ analysis (for product companies).
  • Remote cardiac monitoring app concept productization (for product companies).
  • Business and technical requirements elicitation.
  • RCM features listing.
  • High-level design of scalable software architecture.
  • Technology stack selection.
  • TCO estimation of the remote cardiac monitoring system.
  • ROI calculation.
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Remote cardiac monitoring solution development

  • Market analysis and RCM solution requirements elicitation (for product companies).
  • Scalable software architecture planning.
  • Selection of cardiac monitoring devices (if required).
  • Sleek UX and UI design.
  • Development and quality assurance of the remote cardiac monitoring solution.
  • HIPAA, GDPR, MDR, and FDA compliance.
  • Application support and evolution (if required).
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About ScienceSoft

ScienceSoft is a global IT company with 34 years of experience in IT consulting and software development headquartered in Texas, US. Being ISO 13485-certified, we design and develop tailored IoMT solutions for efficient remote patient monitoring according to the requirements of the FDA and the Council of the European Union. We are ready to deliver RCM solutions aimed at improving chronic cardiac disease management and heart conditions treatment.