From clinical data to actionable insight

Turn healthcare data into structured intelligence to optimize quality and financial performance.

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Extract key information from clinical documents

Healthcare providers generate vast amounts of data, but much of it remains unstructured or locked in legacy formats. This creates care gaps, missed incentives, and unnecessary administrative burden.

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To close care and quality gaps

Unstructured data are transformed into accurate, contextualized clinical codes to enable faster reimbursement, improved quality, and better patient care.

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The most advanced AI for complex coding

We use a combination of AI technologies known as GENIE (Graph Enabled Information Extraction) to handle even the most complex outpatient coding without hallucination.

STEP 1

Extract

We extract key information and map medical entities to nodes in our clinical knowledge graph, enabling accurate, contextualized SNOMED, ICD-10, and CPT coding.

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STEP 2

Connect

Knowledge graphs and graph-based data representation enable clinical and business logic to calculate quality measures and identify care gaps in real time.

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STEP 3

Enhance

A robust structured data foundation powers next-generation analytics to help identify at-risk patient cohorts and enable early intervention.

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STEP 4

Action

Outputs are delivered to existing EHRs, applications and data lakes, enabling seamless integration with existing workflows.

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Powering a range of solutions

We help payers, providers, and ACOs improve performance, reduce operational friction, and enhance patient care.

See Dyad in action
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Two circular progress charts: one labeled Not Met with 7.2% and the text '25% have not had any qualifying procedure,' and another labeled Met with 61% and a breakdown of procedures with percentages: Colonoscopy 23%, CT Colonography 10%, Sigmoidoscopy 17%, FIT 34%, and FOBT 16%.

Real-time quality measurement

Track care quality in real time using continuously updated clinical data.

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Boost STAR ratings

Improve Star Ratings by capturing accurate, complete clinical data in real time.

Close care gaps

Identify and close care gaps using both structured and unstructured clinical data.

Medical report from MediCenter Oncology detailing patient Sharon Blackstone, including age, gender, medical and screening history with highlighted text on female gender, regular FIT screenings, and a yellow box stating Evidence Found.

Be ready for RADV

Ensure your data is structured, standardized, and ready for any regulatory requirement.

Improve coder productivity

Increase coder throughput by dramatically reducing manual chart review.

Medical note highlighting that Miss Haberdasher had a mildly low blood pressure of 116/76 today.

Improve clinical data integrity

Strengthen clinical data integrity through accurate, consistent, and traceable clinical coding.

Real Results at Scale

Workflow automation for the world's largest national health system

Dyad powers BetterLetter, an application used by hundreds of NHS primary care clinics to code and workflow millions of pieces of clinical correspondence per year

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This is the best clinical document AI we've seen - BetterLetter is transforming the way we work

Dr Vish Ratnasuriya

NHS Assembly & National Commission for the Regulation of AI in Healthcare

Safe, secure, and compliant by design.

Dyad is fully compliant with relevant industry standards, supporting secure data handling, seamless workflows, and audit readiness.

HIPAA-Compliant

Designed with appropriate safeguards for protecting health information under HIPAA.

SOC2 Certified

Independently audited to meet industry standards for security, availability, confidentiality and privacy.

Cyber Essentials Plus

Certified to have strong protections in place against common cyber attacks.

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Ready to see it in action?

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