eClinicalWorks
Not every caller will match your eClinicalWorks roster on the first try. Learn how AI receptionists handle unmatched callers, capture their information accurately, and hand off to staff for manual lookup or new patient creation.
Whether the AI matches the patient or not, the call details are structured and returned to staff. If lookup fails, staff has all the information they need to search manually or create a new record. No voicemail dead ends or incomplete intake notes.
When the AI can't match a caller, staff receives a summary and can perform a secondary search in eClinicalWorks (e.g., by alternate name, spouse name, or historical phone). This prevents duplicate records from being created unnecessarily.
If a secondary search confirms the caller is truly new, your staff can create the eClinicalWorks record using the AI-captured summary. Verification has already happened on the call; staff just enters verified data into the system.
Even if patient lookup fails, insurance and intake data are captured in a structured format your staff can review and file. No rework needed once the patient record is found or created.
Multi-field eClinicalWorks search
AI searches by phone number, name, and date of birth; staff can perform manual follow-up search
Unmatched data captured and returned
If no match is found, caller details are structured and handed to staff for manual lookup or new patient creation
Duplicate prevention workflow
Staff receives summary and can search eClinicalWorks manually before creating a new record
Zero data loss on lookup failure
All call information (demographics, insurance, reason for visit) is captured regardless of match outcome
The AI searches by phone, name, and date of birth. If no match is found, the caller is classified as unmatched. Their information is captured and returned to your staff as a summary. Staff can then perform a manual search in eClinicalWorks (e.g., by alternate name) or create a new patient record if the caller is truly new.
Yes. The AI can search by phone, name, date of birth, and other identifiers you specify. Your eClinicalWorks team can configure which fields the AI uses to match patients. If the primary search fails, staff can perform a secondary manual search using different criteria.
When the AI can't find a match, staff receives a summary and should search eClinicalWorks manually before creating a new record. This gives your team a chance to find the patient under an alternate name, spouse name, or historical phone number. Only if a manual search also fails should a new record be created.
The AI's initial search may not find a match if the name is significantly different (e.g., maiden name vs. married name, nickname vs. legal name). Staff receives the unmatched summary and can perform a manual search in eClinicalWorks using the additional context provided by the caller or AI notes.
Yes. Regardless of whether the AI finds a match, all call information is captured and returned to your staff as a structured summary. If lookup fails, the summary includes all demographics, insurance, medical history, and reason for call—everything your staff needs to find the patient or create a new record.
EMR Integration
AI receptionist for eClinicalWorks
Complete guide to eClinicalWorks integration, including patient lookup workflows and data capture.
Next step
Taking load off the front desk
Where front-desk time actually goes.
Workflow
New patient scheduling
How AI receptionists identify and onboard new patients when lookup doesn't find a match.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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