Care gap identification
Missing fields
Evida v1
AI-powered clinical data abstraction
Pull evidence from the EHR, validate quality measures, and stay audit-ready across accreditation and registry workflows.
Evidence search
Ask Evida where the answer came from.
Search a measure, patient field, source document, or registry rule
Evidence
Tobacco Use
Former smoker, quit 2015. Matched from Primary document, line 9.
Registry
CathPCI case
109 complete / 5 missing / 0 review
How Evida works
Measures from every source
Evida pulls measure evidence from EMR records, CathPCI fields, labs, and CCDAs.Evida pulls quality-measure evidence from EMR records, CathPCI fields, labs, and CCDAs.
Registry Submissions
Registry submission
Validated cases move through registry checks before submission.Validated cases move through registry-specific checks before they are ready to submit.
Registry Submissions
Audit readiness
Teams monitor compliance, documentation gaps, and survey readiness in one place.Clinical quality teams can monitor compliance, documentation gaps, and survey readiness in one place.
Audit Readiness
Compliance Breakdown
Core Measures
Patient Safety
Outcomes
96%
Compliant
How Evida works
Measures from every source
Evida pulls quality-measure evidence from EMR records, CathPCI fields, labs, and CCDAs.
Registry submission
Audit readiness
Registry Submissions
Everything clinical quality teams need
Identify gaps, verify evidence, prepare registry submissions, and keep audit-ready records in one workflow.
Quality measures
Program rules
Evidence review
Source highlights
Registry reporting
Submission prep
Evidence vault
Source records
Exports
Audit packets
Audit readiness
Gap tracking
AI integrations
Quality workflows
Less chart review. More quality focus.
Evida automates first-pass abstraction so teams spend time verifying evidence, resolving gaps, and preparing clean submissions.
Finding source evidence
30–45 minutes saved
Relevant notes, labs, reports, and highlighted spans are pulled into the review queue.
Abstracting measures
2–3 hours saved
AI pre-fills registry fields from EMR records, CathPCI data, CCDAs, and source documents.
Resolving gaps
45–60 minutes saved
Missing fields and low-confidence answers are surfaced before submission work starts.
Preparing submission
45–90 minutes saved
Validated fields, evidence links, and audit packets stay connected to the patient chart.
Automated abstraction
Saved per patient chart review
AI handles the first pass across documents and registry fields, so clinical quality teams review evidence instead of rebuilding the chart by hand.
4–6 hours
Ready for registry submission, without extra work
Clinical evidence, source documents, and quality measures stay organized automatically so every case is ready when teams need it.
Works with the clinical systems you already use
Connect Evida to EHRs, registries, and source systems without changing where clinical teams work.
