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Evida v1
AI Powered Clinical Data Abstraction
Evida automates chart review for registry reporting and other quality initiatives with source evidence, gap detection, and near real-time performance visibility.
Patient Chart Review
CathPCI abstraction / synthetic patient chart
Evida reviewing cited evidence
Source document
Admission History & Physical / HP-2847-11
Highlighted evidence
Northlake Regional Medical Center
Admission History & Physical
Cardiology / signed report
Accession
HP-2847-11
Patient
Bennett, Lucia M.
MRN
84-2971-CV
DOB
06/18/1957
Encounter
NCDR-2847
Chief complaint
68 year old female admitted for unstable angina after exertional chest pressure. Past history includes hypertension and coronary artery disease.
Social history
Lives independently with spouse. Alcohol: occasional. Tobacco: former smoker, quit 2015. No recreational drug use documented.
Abstractor note: source line matches registry tobacco-use definition.
Problem list
CAD
HTN
Hyperlipidemia
No prior MI documented
Tobacco use: Former smoker, quit 2015
H&P note / Social History, line 9
How Evida works
Data Abstraction from any source
EMR-agnostic and can abstract both structured and unstructured data from the patient chart, including PDFs, reports, notes, and other clinical documentation.EMR-agnostic and can abstract both structured and unstructured data from the patient chart, including PDFs, reports, notes, and other clinical documentation.
Source intake
Structured and unstructured chart data
Case status
CathPCI review queue
Any source
EHR fields
Structured chart data
Notes and reports
Unstructured documentation
PDF packets
Uploaded clinical files
Answers linked to source evidence
Every extracted answer is tied back to the exact chart evidence, allowing reviewers to quickly verify where each data point came from.Every extracted answer is tied back to the exact chart evidence, allowing reviewers to quickly verify where each data point came from.
Evidence trace
Each answer points back to the chart
Case status
CathPCI review queue
Source linked
Tobacco use
Primary note, line 9
Hypertension
Problem list evidence
Discharge medication
Verified from MAR
Clinical Documentation Improvement/Gap Identification
Evida flags missing fields, incomplete documentation, and quality fallouts earlier and alerts the team.Evida flags missing fields, incomplete documentation, and quality fallouts earlier and alerts the team.
Gap detection
Missing fields surface earlier
Case status
CathPCI review queue
5 gaps
Incomplete documentation
Needs review
Quality fallout
Alerted to team
Ready fields
Cleared for review
Human Data Abstractor Review
Our abstraction team validates results and reviews fallouts, combining the speed and scale of automation with the confidence, accuracy, and accountability of human review.Our abstraction team validates results and reviews fallouts, combining the speed and scale of automation with the confidence, accuracy, and accountability of human review.
Human validation
Abstractors review exceptions
Case status
CathPCI review queue
Reviewed
AI-filled answers
Validated by abstraction team
Fallouts
Evidence checked
Final result
Ready for reporting
Real-time Performance Analytics
Program-level analytics help teams track quality performance and act on opportunities for improvement in real time.Program-level analytics help teams track quality performance and act on opportunities for improvement in real time.
Audit Readiness
Compliance Breakdown
Core Measures
Patient Safety
Outcomes
96%
Compliant
Data Reporting
Abstracted data sent to registries or governing agencies.Abstracted data sent to registries or governing agencies.
Registry Submissions
How Evida works
Data Abstraction from any source
EMR-agnostic and can abstract both structured and unstructured data from the patient chart, including PDFs, reports, notes, and other clinical documentation.
Answers linked to source evidence
Clinical Documentation Improvement/Gap Identification
Human Data Abstractor Review
Real-time Performance Analytics
Data Reporting
Source intake
Structured and unstructured chart data
Case status
CathPCI review queue
Any source
EHR fields
Structured chart data
Notes and reports
Unstructured documentation
PDF packets
Uploaded clinical files
Why Choose Evida
02
Human expert validation for trust
03
Real-time visibility for better care
04
One quality hub for every program
Less chart review. More quality focus.
We allow clinical staff to focus more on quality improvement and patient care.
30–45 minutes saved
Finding source evidence
2–3 hours saved
Abstracting measures
45–60 minutes saved
Resolving gaps
4–6 hours saved
per patient chart review
Who we work with
Hospitals and Health Systems
Critical Access and Rural Hospitals
Ambulatory Surgery Centers
Ambulatory Cardiac Centers and Outpatient Cath Labs
Specialty Centers and Service Lines
MSOs (Management Service Organizations)
Quality Consulting and Abstraction Partners