PR-01Active
Document AI
Reads clinical documents in any format, extracts diagnoses, procedures, meds, vital signs, lab values
SHEET 01Use CaseMedical Records & Clinical Documentation
Automate medical records abstraction and data entry from clinical documents
Extract structured data from discharge summaries, lab results, imaging reports, and clinical notes. Maintain HIPAA compliance with full audit trails and access controls.
72%reduction in manual chart abstraction time
97%data accuracy rate (vs. 82% manual)
8 minaverage processing time per record (vs. 30 min)
3.2%claim denial reduction from improved documentation
SHEET 02The ChallengePROBLEM
The medical records processing challenge
Healthcare facilities receive thousands of medical records from referring providers, emergency departments, and outside specialists. Clinical staff manually review records, extract diagnoses and procedures, and enter data into EMR systems. Abstraction is time-consuming and error-prone; accuracy rates are 80-85%. Coding teams rely on incomplete abstractions, leading to claim denials. Requested records must be sent to other providers quickly, but manual compilation delays care coordination.
SHEET 03The SolutionASSEMBLY
How assistents automates medical records processing
assistents medical records agent reads clinical documents (discharge summaries, operative notes, imaging reports, lab results) and extracts structured data (diagnoses, procedures, medications, allergies, vital signs). Document AI handles handwriting, shorthand, and varied document formats. Extracted data automatically populates the EMR, coding software, and billing systems. Data validation flags missing or conflicting information for clinician review. Integration ensures complete records reach referred providers and downstream systems.
PR-02Active
Data Analyst Agent
Validates extracted data, flags missing or conflicting information, ensures EMR accuracy
PR-03Active
Workflow Agent
Routes validated records to coding and billing, sends copies to referred providers, updates audit trails
SHEET 04How It WorksPIPELINE
How medical records processing agents work
- STEP 01Receive records
Medical records arrive via fax, email, or portal. assistents automatically imports and prepares documents.
- STEP 02Extract clinical data
Document AI reads notes, identifies diagnoses, procedures, medications, labs, and vital signs.
- STEP 03Populate EMR
Extracted data auto-populates fields in EMR. Clinician reviews and confirms accuracy.
- STEP 04Flag discrepancies
Agent flags missing required fields, conflicting data, or potential errors for clinician review.
- STEP 05Forward to care team
Complete records are sent to coding team for billing, or to referred providers for continuity of care.
5 steps deploy to production in weeks
SHEET 05Measurable OutcomesMEASURED
Measurable medical records processing outcomes
72%reduction in manual chart abstraction time
97%data accuracy rate (vs. 82% manual)
8 minaverage processing time per record (vs. 30 min)
3.2%claim denial reduction from improved documentation
SHEET 08Sign-offREADY
Ready to see this in action?
Schedule a personalized demo to see how assistents’s AI agents can solve this challenge for your organization.
- Stage
- Discovery to production · 4 weeks
- Deployment
- Cloud · On-premise · Hybrid
- Governance
- Audit trail on every action
- Sheet
- 8 of 8 · Use Case