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Healthcare has entered an era where AI connects healthcare professionals and clinics with patients at home and in the community. Rather than relying on episodic visits, clinics are adopting AI, IoT connectivity, and analytics to deliver more continuous, patient-centric care that can scale when needed.
In this context, AI-enabled remote monitoring is one of the most practical ways to improve outcomes: connected devices capture ongoing physiological signals, AI converts those streams into clinically meaningful insights by flagging trends, detecting anomalies early, and helping clinicians prioritize attention.
The core problem in today’s healthcare
Healthcare systems face aging populations, rising rates of chronic disease, and a growing demand for long-term care, as clinicians are required to make complex decisions across expanding volumes of data (labs, vitals, imaging, and unstructured notes). Models that depend on manual review and periodic check-ins often miss early deterioration, forcing teams into reactive care.
Workforce shortages are exacerbating these issues: the WHO estimates a global shortfall of nearly 11 million healthcare workers by 2030. As a result, AI is increasingly a capacity strategy, helping organize high-dimensional data, automate routine tasks, and accelerate decision support, especially when paired with continuous monitoring outside of the clinic.
What is AI monitoring?
AI monitoring combines continuous data collection (wearables and automated home/bedside devices) with algorithms that convert signals into actionable insights. Instead of a single snapshot of vital signs, AI monitoring builds a time-based view that can detect subtle changes before symptoms worsen. AI can analyze multi-parameter streams—such as heart rate, blood oxygen, sleep patterns, and blood pressure trends—to identify anomalies, prioritize alerts, and support early-warning workflows.
ASUS has illustrated this “continuous monitoring” model with its VivoWatch. In a clinical study involving acute ischemic stroke patients, VivoWatch (ECG + PPG sensors) demonstrated reliable physiological monitoring and enabled continuous background observation without disturbing sleep, supporting richer follow-up data.
Related reading: Transforming Healthcare with Technology in the AI Era (Part 1)
Where ASUS fits: the AI-ready clinic
ASUS positions its healthcare portfolio around a three-tier architecture supported by clinical-grade quality systems and cybersecurity practices:
- Digital infrastructure
- Digital platforms
- Digital applications
At the patient edge, VivoWatch delivers continuous physiological data that complements fragmented in-visit measurements. The VivoWatch stroke study cited above reported reliable blood pressure analysis and stable monitoring aligned with international validation standards.
To help clinics operationalize data and reduce workload, ASUS also offers a range of digital health solutions, including the ASUS xHIS® Next-Gen Healthcare Information Platform ; Miraico for AI-assisted ICD-10 coding; Lumos for FHIR-based connectivity and OMOP-based research services; and the LLM-powered Clinical AI Assistant for tasks such as Electronic Medical Record summarization and automated note drafting.
For consumer-facing engagement, the ASUS HealthAI Genie uses generative AI to translate consolidated health data and research insights into personalized health guidance. While remote monitoring is the focus, ASUS also offers point-of-care AI tools, such as EndoAim, for real-time polyp detection and classification during colonoscopy, demonstrating AI’s role across settings.
Improving patient outcomes and creating measurable impact
Remote monitoring supports earlier detection and proactive intervention, enabling faster follow-up and more comprehensive tracking. For example, the Mayo Clinic reduced readmissions by roughly 40% through remote care services that paired monitoring with structured workflows and timely outreach.
From reactive to proactive care
AI-enabled remote monitoring enables a shift from reactive to proactive care, maximizing outcomes and optimizing resource use. This requires robust data, interoperable systems, reliable infrastructure, and clinical-grade governance.
ASUS’s ecosystem demonstrates a proven approach for clinics to deploy next-gen remote patient monitoring in both clinical and home environments.
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About ASUS
ASUS is a global technology leader that provides the world’s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today’s technologies. Consistently ranked as one of Fortune’s World’s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.
