Singapore approves Respiree’s AI-powered patient monitoring system for detecting acute deterioration

SINGAPORE— Singapore’s Health Sciences Authority (HSA) has officially approved Respiree’s 1Bio AI-Acute toolbox, marking a significant advancement in AI-driven patient care.

The regulatory body has classified the technology as a Class B software-as-a-medical device (SaMD), recognizing its role in supporting clinical decision-making for hospitalized patients.

The newly approved toolbox serves as a sophisticated aid for healthcare professionals who need to identify signs of acute deterioration in their inpatient populations.

By leveraging advanced machine learning and artificial intelligence models, the system analyzes patient data to provide clinical teams with actionable insights.

This technology represents a shift from traditional monitoring methods toward more precise, algorithm-driven approaches to patient surveillance.

According to Respiree, the toolbox delivers notably higher precision in detecting patient deterioration when compared to conventional standards of care currently used in hospital settings.

This enhanced accuracy translates directly into practical benefits for busy clinical environments. Healthcare teams receive fewer false alerts, allowing them to dedicate their attention and resources to patients who genuinely require immediate intervention.

The reduction in alarm fatigue addresses a longstanding challenge in hospital care, where staff members often become desensitized to frequent notifications that may not always indicate true emergencies.

The system operates by continuously monitoring essential vital signs that nurses and other healthcare providers routinely measure at the bedside.

 These critical indicators include respiratory rate, pulse rate, systolic blood pressure, and oxygen saturation levels.

The AI algorithms process these physiological measurements to generate a probability score for each patient.

This score serves as a clinical tool that helps medical professionals determine which patients may benefit from closer observation or additional monitoring interventions.

When the 1Bio AI-Acute toolbox produces a higher probability score, it signals to clinicians that a particular patient is at increased risk of requiring further monitoring or medical intervention.

Rather than simply triggering an alarm, the system provides healthcare professionals with valuable insight into their patients’ overall physiological state.

This nuanced approach allows clinical teams to make more informed decisions about resource allocation and patient prioritization.

Healthcare professionals can seamlessly access the 1Bio AI-Acute toolbox through Respiree’s integrated 1Bio platform.

Notably, both this platform and the company’s RS001 wearable device have also received regulatory approval from the HSA.

The comprehensive approval of all three components—the AI toolbox, the platform infrastructure, and the wearable monitoring device—creates an end-to-end ecosystem for enhanced patient monitoring.

With Singapore’s approval secured, Respiree now plans to expand its regulatory footprint across multiple international markets.

The company intends to pursue clearances throughout the Asia-Pacific region, including Australia and New Zealand, while simultaneously seeking approval in the United States.

These regulatory submissions are expected to unfold over the coming months as part of the company’s global expansion strategy.

Dr. Gurpreet Singh, who founded Respiree and serves as its CEO, emphasized the limitations of existing early-warning systems in hospital settings.

He explained that current early-warning scores rely primarily on threshold-based methods, which often show low precision in clinical practice.

This technical limitation generates an excessive number of alarms and notifications that can overwhelm healthcare staff.

In contrast, advanced AI-driven machine learning models offer the potential to achieve substantially greater precision.

By reducing unnecessary alerts and notifications, these intelligent systems enable healthcare professionals to allocate their valuable time more effectively toward delivering quality patient care where it matters most.