Modernize your redaction processes without compromising data security or regulatory integrity.
Rules-Based Automation
Our AI and machine-learning engine uses templates, keyword analysis, and regular-expression matching to identify known patterns - such as SINs, facility layouts, and form-specific zones - with precision.
Name Entity Recognition
Apply natural language processing (NLP) to extract variable entities such as names, dates and organizations within unstructured text.
Human-in-the-loop Validation
Ensuring every redaction decision is verified, audited, and refined through expert human review (particularly valuable on low quality documents where automated redaction rules may fall short)
Secure and Audit-Ready
All data is processed in segregated on-premise environments, and each redaction decision is fully logged for audit or review.
Transparent and Accountable
Pre- and post-deployment bias testing, confidence scoring for every redaction action and continuous model monitoring plans with regular performance evaluations.
Octacom's redaction workflow begins with Image Quality Enhancement to record preprocessing activities such as skew correction, noise reduction and contrast enhancement to ensure OCR/ICR accuracy. Octacom then extracts structured, unstructured and hand-written text, as well as performing text layout analysis to identify content areas and text blocks.
Octacom's multi-layered approach to data recognition features entity classification, automated redaction and associated confidence scoring. The solution leverages predefined rules-based and named entity recognition models along with machine learning to optimize automated redaction. Overlapping rules-based and NLP-based redactions increases the model's confidence level.
Octacom’s experienced team validates the accuracy of automated redactions to ensure they meet strict compliance thresholds. Corrections and approvals are fed back into the system, enabling continuous learning that enhances future redaction accuracy. Accepted and corrected redactions are logged as structured data, which is used to refine dictionaries, regular-expression patterns, entity detection rules, and OCR/ICR confidence scoring. Ongoing assessments aggregate these data points to reduce bias in automated redaction processes. Detailed logs document the rationale behind every automated redaction, supporting model improvement and full auditability.
Octacom partners with government agencies, healthcare providers, research institutions, and other highly regulated sectors to deliver compliant data-redaction solutions. Our platform ensures full explainability and auditability, supported by detailed logs that document every action taken.
Client Intake and Scoping to Collaborate on Solution Parameters
Document Discovery to Establish Alignment on Redaction Requirements
Implementation of Defensible Redaction Solution
Ongoing AI-Assisted Machine Learning for Continuous System Improvement
Complete Audit Trails to Satisfy Compliance Requirements
Final Deliverables Provided in Accordance with SLA Requirements
"We started using the Octacom services several years ago with email and fax submissions. The introduction of the Odiss portal has really changed the game and we see it being used more and more every day."
"As a Health Records Technologist at Hamilton Health Sciences, I frequently use Odiss when accessing Release of Information files. When records are digitally archived, I can quickly retrieve and print which makes the release of information function so much faster and easier."
"We have been working with Octacom and its Odiss Document Management Software for over 5 years. The solution developed by Octacom for Air Canada Cargo was exactly what we needed to manage the large volume of Air Waybills that are processed each day from all over the world. Octacom provides quality document management services and software and we would highly recommend them as a professional, innovative and customer focused organization."
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