Fast-Tracked Healthcare Breach Review with Scalable Operations
Fast-Tracked Healthcare Breach Review with Scalable Operations
Reviewed 240K complex healthcare documents, including handwritten files, within a 30-day window through team scale-up, batching, and continuous feedback.
The Ask
A healthcare provider needed to review 240,000 documents – including 80% scanned PDFs and handwritten files – within a 30-day timeframe. The requirement was to extract 30+ PII fields, including sensitive health-related data such as treatment, diagnosis, and physician information.
Our Solution
01.
Large-Scale Review Deployment
Assembled a team of 100+ experienced reviewers to operate in parallel across multiple workflows
01.
Large-Scale Review Deployment
Assembled a team of 100+ experienced reviewers to operate in parallel across multiple workflows
01.
Large-Scale Review Deployment
Assembled a team of 100+ experienced reviewers to operate in parallel across multiple workflows
02.
Optimized Batching Strategy
Batched documents intelligently using filename patterns and page count for balanced workload distribution
02.
Optimized Batching Strategy
Batched documents intelligently using filename patterns and page count for balanced workload distribution
02.
Optimized Batching Strategy
Batched documents intelligently using filename patterns and page count for balanced workload distribution
03.
Ongoing Quality Monitoring
Generated weekly interim notification lists and conducted targeted field checks to ensure continuous alignment with client expectations
03.
Ongoing Quality Monitoring
Generated weekly interim notification lists and conducted targeted field checks to ensure continuous alignment with client expectations
03.
Ongoing Quality Monitoring
Generated weekly interim notification lists and conducted targeted field checks to ensure continuous alignment with client expectations
Outcomes
01.
25% Reduction in Review Time
Reduced overall review hours by grouping documents using multiple unique identifiers
01.
25% Reduction in Review Time
Reduced overall review hours by grouping documents using multiple unique identifiers
01.
25% Reduction in Review Time
Reduced overall review hours by grouping documents using multiple unique identifiers
02.
Real-Time Feedback Integration
Interim updates allowed clients to provide feedback during the review, minimizing rework
02.
Real-Time Feedback Integration
Interim updates allowed clients to provide feedback during the review, minimizing rework
02.
Real-Time Feedback Integration
Interim updates allowed clients to provide feedback during the review, minimizing rework
Outcomes
01.
25% Reduction in Review Time
Reduced overall review hours by grouping documents using multiple unique identifiers
02.
Real-Time Feedback Integration
Interim updates allowed clients to provide feedback during the review, minimizing rework
Knowledge Centre
Case Study
Cyber Incident Response
Fast-Tracked Healthcare Breach Review with Scalable Operations
Case Study
Cyber Incident Response
Accelerating Financial Data Breach Review with Multi-Layer Tagging
Case Study
Cyber Incident Response
Navigating Jurisdictional Risk in a Global Recruitment Data Breach
Case Study
Cyber Incident Response
Optimizing Handwritten PII Extraction for a Retail Data Breach
Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification
Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm
Knowledge Centre
Case Study
Cyber Incident Response
Fast-Tracked Healthcare Breach Review with Scalable Operations
Case Study
Cyber Incident Response
Accelerating Financial Data Breach Review with Multi-Layer Tagging
Case Study
Cyber Incident Response
Navigating Jurisdictional Risk in a Global Recruitment Data Breach
Case Study
Cyber Incident Response
Optimizing Handwritten PII Extraction for a Retail Data Breach
Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification
Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm
Knowledge Centre
Case Study
Cyber Incident Response
Fast-Tracked Healthcare Breach Review with Scalable Operations
Case Study
Cyber Incident Response
Accelerating Financial Data Breach Review with Multi-Layer Tagging
Case Study
Cyber Incident Response
Navigating Jurisdictional Risk in a Global Recruitment Data Breach
Case Study
Cyber Incident Response
Optimizing Handwritten PII Extraction for a Retail Data Breach
Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification
Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.