Online Fall Risk Tool

This tool delivers a structured, patient-level fall risk assessment suitable for clinicians, nurses, and researchers. It gathers multiple indicators of mobility, balance, history, and exposure to risk factors, then produces a numeric risk score and a category label. The approach supports standardized screening across settings such as outpatient clinics, long-term care facilities, and home care programs, enabling consistent data collection and prioritization of preventive actions.
The system implements a multi-field scoring engine with explicit input validation. Required inputs include age_years, sex, prior_falls_past_year, gait_speed_m_per_s, tug_seconds, balance_score; optional inputs include polypharmacy_count, vision_impairment, mobility_aids, living_independently. Outputs are risk_score (0-100), risk_category (low/moderate/high), and a set of recommended_actions. Advanced users may adjust factor weights for setting-specific populations, while default weights reflect general geriatric risk evidence. The tool emphasizes transparency by documenting calculation rules and providing auditable results.
Inputs: age_years (number, years, sample 72, min 0, required); sex (enum, sample female, required); prior_falls_past_year (boolean, sample true, required); gait_speed_m_per_s (number, m/s, sample 0.8, min 0, required); tug_seconds (number, seconds, sample 12.5, min 0, required); balance_score (number, 0-4, sample 2, min 0 max 4, required); polypharmacy_count (number, count, sample 5, min 0, optional); vision_impairment (boolean, sample false, optional); mobility_aids (boolean, sample false, optional); living_independently (boolean, sample true, optional). Outputs: risk_score (number, 0-100, integer), risk_category (string, values low|moderate|high), recommended_actions (array of strings).
Algorithms & Calculations: The score aggregates mobility, balance, and historical factors with weights derived from common geriatric risk models. A mapping converts the continuous score to categorical risk. The model supports regional customization by adjusting weights; all changes are reflected in the output and can be exported for audit. No imaging or lab data are required.
Error & Edge Cases: Missing required inputs produce validation errors; non-numeric fields trigger validation; if gait_speed and tug_seconds are inconsistent, the engine flags the inconsistency. Results are clamped to 0-100; if all factors are missing, the tool returns an error rather than a partial score. External data is not required; privacy controls apply to storage.
Industry/Region & Localization: Uses SI units (m/s, seconds, years). Aligns with standard geriatric risk screening practices; suitable for international clinics with minor localization of sex terms. In regulated environments, treat outputs as screening guidance and document per local policies.
Assumptions & Exclusions: Assumes inputs reflect current status; not a diagnostic tool; intended to prioritize assessment and intervention decisions. Excludes imaging, lab results, and physician-level diagnosis. Not a substitute for comprehensive clinical judgment.