Transform Distant Patient Care with Remote Patient Monitoring (RPM) Solutions

Keeps patients connected to their care system from anywhere, anytime.

RPM STATUS

Remote patient monitoring market state

projected growth in the global remote patient monitoring market from 2023 to 2033

- Grand View Research

x 0

estimated CAGR of the global remote patient monitoring market from 2024 to 2030

- Grand View Research

0 %

of customers are willing to participate in remote patient monitoring programs

- MSI International

0 %

FEATURES

Key features of an RPM solution

01.

Real-time patient health monitoring

02.

Data analytics and reporting

03.

IoT-based monitoring of RPM devices

04.

Accessibility features

05.

Patient-doctor online communication

SOLUTIONS

We offer RPM solutions that fit your needs

Custom RPM software

Telehealth software

Wearable device integration app

Chronic care management software

Post discharge software

Mental health monitoring system

Custom RPM software

Real-time health data flows from every device your patients use: wearables, smartwatches, blood pressure cuffs, glucose monitors, pulse oximeters, smart scales...directly into one unified platform that presents actionable information to healthcare professionals. Our custom RPM software consolidates these data streams, giving providers the complete clinical picture between visits for informed decision-making and timely interventions.

Telehealth software

We build cloud-powered applications featuring real-time vital sign monitoring, automated alert systems, patient health dashboards, secure data transmission, wearable and medical device integration, trend analysis and EHR/EMR connectivity, creating complete remote patient monitoring ecosystems that keep providers informed and patients engaged between clinical visits.

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Wearable device integration app

We develop wearable applications that capture continuous health data from daily activity and wellness metrics to clinical vital signs, then integrate these data into RPM systems. Providers receive real-time alerts and trend analysis, enabling proactive interventions and improved patient outcomes through continuous remote oversight.

Chronic care management software

Our chronic care management solutions deliver continuous remote support for patients with diabetes, hypertension, cardiovascular disease, respiratory conditions, and mental health disorders. Real-time monitoring of condition-specific metrics connects patients and providers seamlessly. Automated alerts and trend analysis enable proactive interventions before complications arise, reducing hospitalizations and improving quality of life for those managing long-term conditions.

Post discharge software

Post-discharge monitoring software tracks vital signs, medication adherence, wound healing, and symptoms during the critical transition from hospital to home. Automated check-ins, assessments, and real-time alerts notify care teams when concerning trends emerge, enabling early intervention before readmission becomes necessary.

Mental health monitoring system

We create mental health monitoring systems that track mood patterns, stress levels, and behavioral indicators while providing continuous support through guided relaxation, mindfulness resources, and coping strategies. When concerning patterns emerge, patients access crisis resources instantly and connect with mental health professionals for timely intervention, helping to monitor patients more effectively.

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ARCHITECTURE

Understand the architecture of the RPM software system

Admin web panelTo manage end-user setting utilized for medical professionals, staff and patients and confirm online appointpment schedules and more.

Medical staff interfaceNurses, healthcare coordinators and physicians can access medical data of patients and alert them on identifying abnormalities, along with medical devices.

Patient interfaceMobile apps for RPM software allow patients to monitor healthcare parameters, see symptoms and receive any alert on the potential health problem.

Cloud-based RPMTo process and analyze medical data from symptoms to impose changes in patient status and define healthcare causes.

Smart connected devicesTo link patient vitals (e.g. blood pressure, body-related temperature) and also transfer them through protoculs to the cloud-based RPM for analysis.

CASE STUDIES

Our clients' success stories

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Mobile
Healthcare
AI
US

ONEai Health

Partnered with Adamo, this platform uses real-time biometric data to empower healthcare providers, cut readmissions, and transform chronic disease management.

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Mobile
Healthcare
AU

Safe Guide Life

Teaming up with Adamo, Safe Guide Life turns proven therapy into an easy-to-use app, bringing hope and support to everyone through a smooth platform.

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Web
Healthcare
AI
EU

AI-enabled Mediverse Solution for Cross-functional Telehealth and Diagnostics

Developed by Adamo Software, the platform empowers healthcare providers to deliver fast, transparent, and patient-centric care.

BENEFITS

Why does remote patient monitoring benefit patients and healthcare providers?

Patient engagement

RPM keeps patients involved through continuous health tracking and clearer insights.

Quality of care

RPM enables easier access to advanced care and real-time data, improving service quality.

Access to healthcare

RPM simplifies testing and helps providers serve more patients, boosting accessibility.

Patient reassurance

Continuous monitoring detects issues early, enabling timely intervention and peace of mind.

RELATED SERVICES

Check what else we can do for healthcare

mHealth solutions

Mobile-first digital health solutions for more convenient care.

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Next-gen telehealth platforms

Secure, scalable delivery of patient-friendly virtual care.

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Smart hospital management

Automated workflows and patient flow across the hospital.

Learn More

FAQ

Frequently Asked Questions

What devices can be integrated into RPM software?

We integrate your remote patient monitoring platform with a comprehensive range of devices: FDA-approved medical monitors (blood pressure cuffs, glucose meters, pulse oximeters), consumer wearables (Apple Watch, Fitbit, Samsung Galaxy), specialized sensors (ECG patches, continuous glucose monitors), and smart health devices (connected scales, thermometers, spirometers). Real-time data connectivity from these devices enables proactive condition management and seamless communication between patients, caregivers, and healthcare providers.

What challenges arise during RPM implementation?

Healthcare organizations frequently encounter device integration complexities, data security concerns, patient adoption barriers, and connectivity limitations that can undermine monitoring effectiveness. Modern RPM solutions address these through universal device compatibility, encrypted data transmission, intuitive patient interfaces, and offline functionality that maintains continuous monitoring regardless of network conditions.

How does AI enhance RPM systems?

AI analyzes continuous patient data streams to detect patterns, predict complications, and trigger early interventions. Machine learning algorithms personalize monitoring thresholds based on individual baselines, automate clinical alerts for concerning trends, and optimize care delivery efficiency. AI also boosts patient engagement through intelligent reminders, adaptive monitoring protocols, and predictive insights that shift care from reactive to proactive.

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