K-numberK241958
Device nameWARD-CSS (v1.2.x)
ApplicantWard 24/7 Aps
Product codeMWI
Device classClass II
Decision dateFeb 14, 2025
DecisionSubstantially Equivalent
Regulation870.2300
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

WARD-CSS is a clinical decision support system that remotely integrates, analyzes, and displays continuous vital sign data from medical devices via mobile and web applications for non-pediatric hospitalized patients in non-critical care units. It uses standardized rules based on scientific and clinical evidence to detect and alert healthcare professionals to clinically relevant vital sign deviations, while explicitly not replacing current monitoring practices or clinical judgment.

Technological characteristics

WARD-CSS has the same product code (MWI), regulation (870.2300), intended users (healthcare professionals), patient population (hospitalized adults, non-ICU), monitoring role (adjunctive), vital signs monitored (heart rate, oxygen saturation, respiration rate, temperature, blood pressure), platforms (mobile and web apps), and algorithm type (threshold-based) as the predicate Capsule Surveillance System. Both use direct detection from vital sign data with 1-minute monitoring resolution.

Test standards cited

Software Testing per IEC 62304 and Human Factors per IEC 62366-1 were performed to demonstrate safety based on current industry standards.

Substantial equivalence argument

WARD-CSS is substantially equivalent because it shares identical intended use and indications for use with the predicate device—both are clinical decision support systems using standardized rules to alert clinicians to relevant vital sign deviations in hospitalized adult patients without replacing clinical judgment. The technological characteristics are identical across product code, regulation, vital signs monitored, platforms, algorithms, and alert mechanisms. WARD-CSS demonstrated superior performance by reducing alert numbers by 97.8% compared to threshold-only monitoring through time duration filters and alert prioritization logic, which represents an improvement rather than a new safety concern, and clinical testing on 794 patients confirmed safety across medical and surgical cohorts.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

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