Process

Transforming Medical Records into Structured Documents

From document upload to generating final reports—DeepKnit AI streamlines medical record review, and extracts intricate medical data needed to derive actionable insights.

Talk to Us

DeepKnit AI: A Unified Platform for Comprehensive Medical Record Review

Medical Record Review Made Effortless

Managing and reviewing medical records is not a simple process and often comes across as challenging. DeepKnit AI transforms this challenge into a seamless, AI-powered process—allowing healthcare/legal professionals to focus on their core operations, instead of wasting time and resources sifting through stacks of medical records.

Our intelligent system automates document handling, extracts key insights, and structures medical information efficiently. With customizable templates, real-time tracking, and AI-assisted quality checks, DeepKnit AI ensures accuracy and compliance at every step.

Our AI Medical Record Review Process

We have an organized, diligent process that carefully untangles the complexity of medical record review and provides the required output in any format or type, as required—through advanced automation technologies—in a matter of minutes or hours; instead of days or weeks.

1

Document Upload

Data Collection & Upload

Collate Medical Records
- Collect records from all available sources, including physician and nursing notes, lab tests, and electronic health records (EHRs).
- De-identify data to comply with privacy regulations.
File Upload Options
- Direct Upload: Securely upload records via DeepKnit AI’s platform.
- API Integration: Connect DeepKnit AI with existing systems for smooth data transfer.
- FTP: Use FTP for bulk uploads of large volumes of medical records.
- Batch Upload: Process multiple records at once for efficiency.

2

Template Creation

Data Preprocessing & Customization

Organize Data
- Identify and remove inconsistencies, errors, and duplicates.
- Streamline data formats for compatibility with DeepKnit AI’s processing algorithms.
Customize Templates & Guidelines
- Design Templates: Set up how you’d want the AI to analyze medical records to ensure consistency.
- Set Guidelines: Identify focus areas such as medical conditions, treatments, or lab results.
- Apply Formatting Rules: Make sure the extracted data is structured correctly for accurate analysis.

3

Review Management

AI-powered Processing & Analysis

Data Extraction
- Identify key info such as patient demographics, medical history, diagnoses, treatments, and outcomes.
- Extract structured data, including ICD/CPT codes, lab results, and medications.
Deduplication & Organization
- Review and remove any duplicate records to maintain accuracy.
- Hyperlink and page-stamp important references for easy navigation.
Summarization & Chronology Generation
- Generate concise summaries and chronological timelines for a clear overview of the patient’s medical history.

4

Quality Assurance & Human Review

AI Review
- Review AI-generated results with original records to ensure correctness.
- Mark discrepancies, potential errors, or missing information.
Handling AI Limitations
- Identify issues like illegible handwriting or improperly scanned documents.
- Provide options for manual review and corrections by healthcare professionals.

5

File Status

Review, Corrections & Continuous Improvement

Compare Outputs
- Analyze multiple versions of AI-generated data to identify inconsistencies.
- Refine extracted information as needed to enhance accuracy.
Adjust Templates & Guidelines
- Modify templates and processing rules based on review feedback.
- Improve AI performance over time using reinforcement learning techniques.
Track File Progress
- Track document processing stages (e.g. Pending, In Progress, Completed) for enhanced transparency.

6

Reports

Final Output & Reporting

Generate Final Reports
- Produce comprehensive reports summarizing findings, discrepancies, and key insights.
- Offer multiple output formats (detailed report, summarized document, indexed file, etc.) in PDF, Word etc.
Flexible Delivery & Integration
- Download, store, or share finalized records securely.
- Integrate with healthcare provider systems for seamless workflow integration.

7

Settings

Customization & Configuration

Adjust Review Workflows
- Configure review steps, AI validation parameters, and manual verification options.
Set Notification Preferences
- Enable alerts for document uploads, review completion, and status updates.
Optimize Template Settings
- Customize document structures and data extraction rules for specific organizations.

Why Choose DeepKnit AI?

DeepKnit AI is designed for healthcare/legal professionals, administrators, and organizations looking to optimize medical record processing. Our state-of-the-art AI ensures compliance, efficiency, and precision—helping you focus on your primary tasks.



AI-powered Precision

Advanced AI, NLP and ML models ensure accurate data extraction.



User-friendly Interface

Intuitive dashboard for smooth document upload, tracking, and review.



100% Secure & Compliant

HIPAA-compliant platform with end-to-end encryption for maximum data protection & confidentiality.



Scalability and Efficiency

Capable of handling large volumes of records without compromising speed or precision.



Custom Workflows

Adaptable review processes designed to suit different medical specialties and needs.

Revolutionize How You Process Medical Records with DeepKnit AI

Request a Demo