Nexia Remote Subject Monitoring

Lexicon

Define terminology and emotion definitions

WOMAC Question-Level Dissonance & Sentiment

Question-specific terminology and voice-expression guidance for detecting possible disagreement between a participant's selected WOMAC response, accompanying spoken narrative, and Hume AI voice-expression signals.

AI Guidance:

For each WOMAC question, evaluate the participant's structured response together with the spoken narrative, question-specific clinical lexicon, and available Hume AI voice-expression signals. Monitor for indicators such as hesitation, uncertainty, confusion, frustration, contradiction, self-correction, or other vocal-expression changes that may suggest the participant did not fully understand the question or may wish to reconsider the selected response. Compare the participant's spoken content with the specific concept being measured. For example, identify references to a different activity, different joint, different timeframe, or statements describing functional difficulty that appear inconsistent with the selected response. Hume AI expression data must be treated only as a contextual signal. Do not interpret vocal expression as proof of a participant's emotional state, pain severity, clinical condition, or intended WOMAC response. A sentiment or expression signal alone must never alter an answer. When multiple signals indicate possible dissonance, trigger the Intervention Agent to neutrally clarify the question, repeat response choices, identify the correct index joint or recall period when permitted, and ask the participant to confirm the response they want recorded. Preserve the original response, any clarification interaction, the final confirmed response, the relevant Hume AI signal, and the reason for any Intervention Agent activation in the assessment audit trail.

WOMAC Clinical Context & Response Integrity

Clinical terminology for identifying whether a participant's spoken response appropriately addresses the intended WOMAC concept, designated index joint, recall period, response scale, and functional activity being assessed.

AI Guidance:

Evaluate each participant response in the context of the current WOMAC question and the participant's designated index joint. Listen for terminology related to pain, stiffness, mobility, physical function, difficulty, assistive devices, laterality, timing, severity, uncertainty, correction, and inability to perform an activity. Identify potential inconsistencies such as discussion of the wrong joint, the wrong activity, an incorrect recall period, misunderstanding of the response scale, an incomplete answer, or narrative language that appears inconsistent with the selected response. Recognize uncertainty and correction phrases including "I'm not sure," "I think," "maybe," "I guess," "actually," "wait," "I meant," and similar expressions. Do not infer or change a participant's WOMAC response based on contextual language alone. When the response may not reflect the intended question, trigger the Intervention Agent to provide permitted neutral clarification, repeat the question or response options, or ask the participant to confirm the answer they want recorded. The participant's final confirmed self-report remains the authoritative response.

Age Bias (Ageism) in Healthcare

Clinical terminology for identifying and eliminating age-based discrimination in diagnostic evaluation and therapeutic decision-making

AI Guidance:

Be vigilant that age bias can manifest as dismissing symptoms as 'normal aging' without proper attention, or being overly paternalistic. Avoid language that diminishes capacity based solely on age. All symptoms reported by patients deserve thorough collection and documentation regardless of age. Symptoms like cognitive changes, pain, or fatigue should be escalated to the care team with equal urgency across age groups. Maintain respectful, clear communication that doesn't assume limitations based on chronological age alone.

Ethnic & Racial Bias in Medicine

Definitions and evidence-based strategies for addressing systemic racial and ethnic disparities in clinical care and research

AI Guidance:

Recognize that racial and ethnic bias can lead to minimizing pain reports or delaying escalation of serious symptoms. Ensure equal attention and urgency when collecting information and escalating to the care team regardless of patient race or ethnicity. Avoid assumptions about pain levels, symptom severity, or adherence based on race/ethnicity. When patients report concerning symptoms, escalate with the same priority across all backgrounds. Maintain cultural humility in communication and avoid attributing symptoms to behavioral or social factors before collecting complete information.

Gender Bias in Clinical Practice

Clinical definitions and mitigation strategies for recognizing and preventing gender bias in patient assessment and treatment decisions

AI Guidance:

When collecting symptom information, recognize that gender bias can lead to dismissing or minimizing concerns. Give equal attention and weight to all symptoms regardless of patient gender. Avoid language that attributes symptoms to 'stress' or 'emotion' without proper inquiry. If a patient reports symptoms that seem concerning, escalate to the care team with the same level of urgency regardless of gender. Use gender-neutral language and avoid assumptions about pain tolerance or symptom severity based on gender stereotypes.