Best AI-Powered Remote Patient Monitoring Software

Artificial intelligence is advancing chronic-care management with AI Remote Patient Monitoring Software that ingests wearable sensor data, vital signs, and patient-reported outcomes continuously. Machine-learning models analyze trends—such as heart-rate variability, glucose fluctuations, or activity levels—to detect early warning signs and send automated alerts to care teams. Personalized risk scores guide telehealth interventions and medication adjustments, while automated summaries populate EHRs with minimal clinician effort. By combining predictive insights and real-time communications, Top AI Remote Patient Monitoring Software supports proactive outreach and improves patient outcomes. Discover the top AI Remote Patient Monitoring Software solutions to improve patient outcomes.

Last Updated: October 01, 2025

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100Plus

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CoachCare

CoachCare

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$4800 Per year

Coviu

Coviu

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$40 Per month

eVisit

eVisit

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List of Top AI Remote Patient Monitoring Software Solutions

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AiCure Patient Connect is a remote patient monitoring software designed to improve patient care and outcomes by allowing healthcare providers to track patients’ health data in real time. The software uses artificial intelligence and mobile technology to monitor patients’ conditions outside of clinical settings, providing continuous, personalized care. AiCure Patient Connect integrates with wea... Read more about AiCure Patient Connect

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United States

SuperOps

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 PSA-RMM Platform

SuperOps.ai is an IT management software powered by artificial intelligence, designed to simplify and automate IT operations for managed service providers (MSPs) and IT teams. The platform offers tools for proactive monitoring, incident management, remote support, and automation, helping businesses reduce downtime and improve service delivery. SuperOps.ai integrates with existing IT systems and wo... Read more about SuperOps

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$79 Per month

Location

United States

Datos Health is a telemedicine software that enables healthcare providers to deliver virtual consultations and monitor patients remotely. The platform offers secure video conferencing, patient management tools, and integrated telehealth features, allowing medical professionals to connect with patients regardless of geographical boundaries. Datos Health provides an intuitive interface for schedulin... Read more about Datos Health

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Location

Israel

Infermedica is a cuttingedge artificial intelligence software solution designed to enhance healthcare decisionmaking and patient engagement. This innovative platform uses advanced algorithms and machine learning to provide symptom assessment, triage, and personalized recommendations to patients. With Infermedica, healthcare providers can easily integrate AIdriven tools into their existing systems,... Read more about Infermedica

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Location

Poland

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Frequently Asked Questions

AI-powered RPM software uses artificial intelligence to automatically collect, analyze, and interpret patient health data, allowing providers to make faster, data-driven care decisions remotely.

AI adds intelligent automation, predictive analytics, and anomaly detection to RPM platforms. This helps detect potential health risks earlier and reduces false alarms for clinicians.

AI can process data such as heart rate, blood pressure, glucose levels, oxygen saturation, sleep patterns, and activity levels, highlighting trends or outliers in real time.

Healthcare providers, hospitals, chronic disease management programs, and telehealth services benefit most, especially those managing large patient volumes or high-risk populations.

Yes, most platforms use HIPAA-compliant encryption, secure cloud infrastructure, and role-based access control. AI models also follow strict data governance standards.

Yes, many platforms offer scalable plans, with AI features built into even basic tiers, making them accessible to small practices without needing large IT teams.

AI RPM is widely used for chronic conditions like diabetes, heart disease, COPD, and hypertension, as well as post-surgical recovery, elderly care, and wellness monitoring.

Yes, they often connect with devices like ECG patches, smartwatches, glucose monitors, and blood pressure cuffs—using AI to interpret the data more effectively.

Most are cloud-native, allowing real-time access, updates, and monitoring across all locations. Cloud architecture also supports faster AI model training and deployment.

Not necessarily. Most tools are designed for healthcare professionals, with user-friendly dashboards. The AI works in the background to assist rather than complicate workflows.

Yes, they often include intelligent reporting features that summarize trends, highlight urgent cases, and visualize health patterns for both clinicians and patients.

Many modern platforms offer multilingual support for both patients and providers, ensuring broader accessibility and better patient engagement.

Yes, many vendors provide demos or trial periods so providers can test how AI-driven insights improve patient care, workflows, and early intervention capabilities.