
Every data point available for personalizing patient interactions. Configure which fields to use based on your practice's needs.
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
ani_match | boolean | Telephony | true | Identify known callers by phone number |
cnam_data | string | Carrier | JOHN SMITH | Display caller name from carrier |
device_type | enum | Telephony | mobile | Adapt conversation for device |
geo_location | object | IP/Carrier | {city: 'Boston', state: 'MA'} | Route to local office |
caller_timezone | string | Derived | America/New_York | Schedule in patient's timezone |
previous_call_id | string | System | call_abc123 | Detect callback scenarios |
verification_status | enum | System | verified | Track identity confirmation |
verification_method | string | System | DOB+SSN4 | Log verification approach |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
account_status | enum | EHR | active | Determine service eligibility |
patient_type | enum | EHR | established | New vs returning workflows |
customer_tenure | number | Derived | 847 | Days as patient |
loyalty_tier | enum | CRM | gold | Priority routing |
lifetime_value | number | Billing | 12500 | Service level decisions |
churn_risk_score | number | ML Model | 0.23 | Retention interventions |
nps_score | number | Survey | 8 | Satisfaction tracking |
last_survey_date | date | Survey | 2024-01-15 | Survey timing |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
predicted_intent | string | ML Model | appointment_reschedule | Pre-route to right flow |
intent_confidence | number | ML Model | 0.87 | Fallback decisions |
recent_activity_7d | array | System | [{type: 'appointment', action: 'booked'}] | Context for conversation |
abandoned_actions | array | System | [{flow: 'payment', step: 3}] | Resume incomplete tasks |
last_sms_sent | object | Comms | {type: 'reminder', date: '2024-01-20'} | Reference recent messages |
open_tickets | array | CRM | [{id: 'TKT-123', status: 'pending'}] | Address open issues |
pending_callbacks | array | System | [{reason: 'billing', scheduled: '2024-01-22'}] | Honor callback promises |
call_sentiment | enum | Real-time ML | neutral | Adapt tone and escalate |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
next_appointment | object | EHR | {date: '2024-01-25', provider: 'Dr. Smith', type: 'follow-up'} | Proactive mention |
appointment_countdown | number | Derived | 3 | Days until appointment |
confirmation_status | enum | System | confirmed | Skip confirmation if done |
prep_instructions | array | EHR | ['Fasting required', 'Bring ID'] | Remind of requirements |
transportation_arranged | boolean | System | false | Offer assistance |
no_show_history | number | EHR | 2 | Risk assessment |
no_show_risk_score | number | ML Model | 0.45 | Intervention trigger |
cancellation_patterns | object | Analytics | {day: 'Monday', reason: 'work'} | Suggest better times |
preferred_day | enum | Preference | Tuesday | Scheduling suggestions |
preferred_time | enum | Preference | morning | Scheduling suggestions |
preferred_provider | string | EHR | Dr. Johnson | Provider matching |
waitlist_status | object | System | {active: true, for: 'earlier_slot'} | Proactive offers |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
outstanding_balance | number | Billing | 245.00 | Payment discussions |
balance_age_days | number | Billing | 45 | Urgency assessment |
payment_due_date | date | Billing | 2024-02-01 | Reminder timing |
payment_plan_status | enum | Billing | active | Plan awareness |
payment_plan_details | object | Billing | {monthly: 75, remaining: 4} | Plan context |
autopay_enrolled | boolean | Billing | false | Enrollment offers |
insurance_primary | object | EHR | {carrier: 'BlueCross', plan: 'PPO'} | Coverage context |
insurance_secondary | object | EHR | null | Secondary coverage |
deductible_status | object | Insurance | {met: 500, remaining: 1500} | Cost estimates |
preauth_status | object | System | {pending: ['MRI'], approved: ['CT']} | Authorization tracking |
last_payment_date | date | Billing | 2024-01-10 | Payment history |
last_payment_amount | number | Billing | 75.00 | Payment context |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
preferred_language | string | EHR | Spanish | Language routing |
channel_preference | enum | Preference | text | Follow-up method |
sms_opt_in | boolean | Consent | true | Text eligibility |
email_opt_in | boolean | Consent | true | Email eligibility |
accessibility_needs | array | EHR | ['hearing_impaired'] | Accommodation |
voicemail_permission | boolean | Consent | true | Message leaving |
preferred_name | string | EHR | Johnny | Personalized greeting |
contact_times | object | Preference | {start: '9:00', end: '17:00'} | Outbound timing |
do_not_call | boolean | Consent | false | Outbound eligibility |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
primary_diagnosis | array | EHR | ['Type 2 Diabetes', 'Hypertension'] | Care context |
active_medications | array | EHR | [{name: 'Metformin', dose: '500mg'}] | Medication discussions |
allergies | array | EHR | ['Penicillin', 'Sulfa'] | Safety alerts |
care_gaps | array | Analytics | [{type: 'A1C', due: '2024-02-15'}] | Proactive outreach |
last_visit_date | date | EHR | 2024-01-05 | Visit context |
last_visit_type | string | EHR | Annual Physical | Visit context |
pending_results | array | EHR | [{type: 'Lab', ordered: '2024-01-18'}] | Results inquiries |
care_team | array | EHR | [{role: 'PCP', name: 'Dr. Smith'}] | Provider context |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
hipaa_consent | boolean | EHR | true | PHI disclosure |
tcpa_consent | boolean | Consent | true | Outbound calls |
consent_date | date | Consent | 2023-06-15 | Consent validity |
identity_verified | boolean | System | true | PHI access |
verification_attempts | number | System | 1 | Security tracking |
minor_patient | boolean | EHR | false | Guardian requirements |
authorized_contacts | array | EHR | [{name: 'Jane Smith', relation: 'Spouse'}] | Third-party auth |
legal_hold | boolean | Legal | false | Special handling |
recording_consent | boolean | System | true | Call recording |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
skill_required | array | Derived | ['billing', 'spanish'] | Agent matching |
priority_level | enum | Derived | high | Queue position |
escalation_history | array | System | [{date: '2024-01-10', reason: 'complaint'}] | Handling context |
preferred_agent | string | System | agent_456 | Continuity |
last_agent | string | System | agent_123 | Follow-up routing |
vip_flag | boolean | CRM | true | Priority handling |
complaint_flag | boolean | CRM | false | Special attention |
escalation_threshold | number | Config | 2 | Auto-escalation |
| Field Name | Type | Source | Example Value | Usage |
|---|---|---|---|---|
campaign_id | string | Campaign | camp_awv_2024 | Campaign tracking |
campaign_name | string | Campaign | Annual Wellness 2024 | Context |
attempt_count | number | Campaign | 2 | Attempt limits |
last_attempt | datetime | Campaign | 2024-01-20T14:30:00Z | Spacing |
voicemail_left | boolean | Campaign | true | Message tracking |
best_time_to_call | object | ML Model | {day: 'Tuesday', time: '10:00'} | Optimal timing |
channel_sequence | array | Campaign | ['call', 'sms', 'email'] | Multi-channel |
campaign_outcome | enum | Campaign | in_progress | Status tracking |