🗣 Cultural Competency AI Communication Adaptation Simulator

Cultural Context Identification

AI notes language, origin, and cultural signals before drafting.

• 40+: Cultural profiles tracked (dialect and region tags)
• 3: Language preference fields (primary, literacy, interpreter)
• 6: Context signals used (name, locale, referral notes)
• Flagged: Misidentification risk (human review triggered)

Signals the system reads

Locale, language choice, and referral notes seed the profile.

Self-reported data always outranks inferred signals.

Avoiding stereotyping

Context is a starting hypothesis, not a fixed rule.

Human oversight

Clinicians can correct or override any inferred context.

Directness & Family-Involvement Norms

AI estimates preferred bluntness and family role before writing.

• 1–10: Directness scale (indirect to direct)
• 1–10: Family-involvement scale (individual to family-centered)
• 3: Norm sources (literature, patient input, notes)
• Live: Update frequency (sliders adjust in real time)

Directness spectrum

Some cultures favor plain talk, others favor softened framing.

Family-centered decision norms

Many cultures involve family in medical choices by default.

Assumptions must yield to the patient's stated preference.

Health-belief sensitivity

Traditional and biomedical beliefs are weighed together.

Baseline Medical Message Drafted

AI writes one neutral, clinically accurate message first.

• Neutral: Draft tone (no cultural styling yet)
• Pass: Clinical accuracy check (content locked before styling)
• Grade 8: Reading level (plain-language baseline)
• Pending: Adaptation layer (applied next stage)

Why draft first

Separating content from style prevents accuracy drift.

Plain-language baseline

Baseline avoids jargon regardless of eventual audience.

Content lock

Medical facts stay fixed through every later rewrite.

Style adapts; clinical substance never changes.

Tone, Framing & Involvement Adjusted

AI rewrites tone, phrasing, and family framing to fit context.

• ±100%: Tone shift range (soft to direct rewrite)
• 2: Family phrasing variants (individual vs inclusive wording)
• Swapped: Belief-sensitive phrases (matches health-belief framing)
• Rising: Adaptation confidence (recalculated per edit)

Tone restyling

Sentence structure softens or sharpens with directness norm.

Family-inclusive wording

Pronouns shift toward "you and your family" when expected.

Wording never overrides the patient's own stated wishes.

Belief-sensitive framing

Explanations bridge biomedical and traditional health beliefs.

Culturally-Adapted Message Delivered

Final message respects tone, family, and belief norms together.

• 90%+: Adaptation confidence (at delivery threshold)
• Higher: Patient comprehension lift (versus generic messaging)
• Lower: Cultural mismatch complaints (reported in pilot use)
• Required: Clinician review step (before final send)

Final quality gate

A clinician reviews tone and content before sending.

Continuous feedback

Patient response refines future cultural-style estimates.

Adaptation improves the model; it never fully overrides discretion.

Scope boundary

This adapts routine communication, not high-stakes decisions.