Manual data extraction is time-consuming
Teams rely on manual chart review to identify diagnoses, procedures, and clinical events from unstructured clinical documentation.
Clinical and claims data are fragmented
Relevant evidence is split across EMRs, notes, and claims systems, making it difficult to assemble a complete patient view.
Data is difficult to trust and apply
Inconsistent formats and missing context make it hard to validate clinical evidence and use it reliably in decision workflows.
Authorization and review workflows are slow
Manual processes in payer workflows delay prior authorization, quality review, and population-level analysis across large patient cohorts.
Our Solution
Nimblemind uses specialty-trained agents to extract, standardize, and organize clinical data into consistent datasets.
1
Extract clinical information
Identify diagnoses, procedures, and clinical events from unstructured clinical documentation with high accuracy.
3
Structure and summarize data
Generate structured patient summaries and datasets for efficient review and population-level analysis.
Reduce manual chart review time
Cut manual review effort by 60–80% by automating extraction of diagnoses, procedures, and clinical events from clinical documentation.
Improve accuracy of payer decision-making
Enable more consistent and reliable decisions by aligning structured clinical evidence with policies, criteria, and risk models.
Nimblemind supports prior authorization and clinical review workflows at scale
Payers rely on clinical documentation to determine whether patients meet authorization criteria, but the relevant evidence is often buried across notes, reports, and fragmented data sources.
Nimblemind surfaces and structures the key clinical evidence needed for review, so teams can reduce manual effort and make faster, more consistent authorization decisions.
Reduce manual chart review across authorization workflows
Accelerate authorization and clinical review decisions
Improve consistency and accuracy in payer decisions
Nimblemind is built to process the clinical and administrative data used in prior authorization, claims review, and payer decision workflows.
Modality
Examples
EMR and Clinical Documentation
Clinical notes, discharge summaries, diagnoses, procedures
Claims and Billing Data
CPT/HCPCS codes, ICD-10 codes, claim forms, authorization requests
Prior Authorization Submissions
Submitted clinical documentation, physician reports, supporting evidence
Lab Results and Diagnostics
Key lab values, imaging reports, diagnostic summaries
Medication and Treatment Data
Medication lists, dosage history, treatment plans
Care Pathways and Utilization Data
Procedure history, site-of-care data, utilization patterns
