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The technology that reads every chart, so no diagnosis is missed.
Regard turns a hospital's raw EHR data into clinical assessments a physician can check line by line — every conclusion traceable back to the specific evidence that produced it.
01 · Ingestion
Every chart. Every time. Completely.
Regard reads the full patient chart — labs, vitals, medications, notes, imaging reports, and more — every time a physician opens it. Structured data and unstructured clinical language are both understood natively, regardless of which EHR a hospital runs.
- Queued
- Planned
- Fetching
- Merged
- Mapped
- Stored
02 · Clinical Understanding
One clinical language across every hospital.
Every hospital codes things differently — different systems, different shorthand, different local conventions. Regard resolves all of it into a single clinical understanding. When the system reasons about "heart failure," it doesn't miss cases because one hospital uses a different code than another, or because a physician wrote it differently in a note.
Hover or tab through a concept to see the codes that resolve to it and how it connects.
03 · Diagnostic Reasoning
Clinical reasoning you can trace and trust.
At its core, Regard reasons about patient data the way a careful physician would — considering the full clinical timeline, weighing evidence, and ruling out alternatives. Every condition identified comes with a complete evidence chain. No black boxes. No unexplainable scores. Every assessment can be audited by a physician, a CDI team, or a regulator.
| 100 – 149 | Mild | |
| 50 – 99 | Moderate | |
| < 50 | Severe | 38 ✓ |
Each result stays valid until the next one supersedes it, so the rule evaluates a continuous series of segments rather than four isolated points. Before the first result there is nothing to evaluate, so the rule returns unknown across that interval, not false.
- 01
Transparent by design
Every conclusion traces back to specific evidence in the chart. Physicians can see exactly why a condition was identified — and disagree if the evidence doesn't hold.
- 02
Clinically accurate over time
Regard doesn't just look at a single lab value in isolation. It understands how findings evolve — distinguishing a transient spike from a sustained trend, and reasoning across the full stay.
- 03
Handles missing data honestly
When data is incomplete, Regard says so — rather than guessing or silently skipping a condition. "Insufficient evidence" is different from "ruled out," and clinicians need to know which is which.
- 04
Consistent & reproducible
The same chart always produces the same assessment. No variability between runs, no drift over time. Every result is auditable and can be explained to a regulator.
04 · Clinical Governance
Clinical expertise at the center.
Regard's diagnostic logic is written and maintained by clinicians — not engineers. Our clinical team continuously updates and expands condition coverage based on the latest guidelines, peer review, and real-world performance data.
- 01
Clinician-authored
Every condition in Regard is defined, reviewed, and approved by physicians. Engineering builds the platform; clinicians build the medicine.
- 02
Peer-reviewed rigor
Every piece of diagnostic logic goes through clinical peer review before reaching a single patient. Only approved versions are active — every prior version is archived for audit.
- 03
AI-accelerated, clinician-governed
AI helps our clinical team work faster — but clinicians decide what ships. No diagnostic logic reaches patients without physician approval.
- 04
Continuously improving
New conditions, updated guidelines, refined thresholds — all without software releases or downtime. The clinical knowledge base grows every week.
Thrombocytopenia · Adult inpatient
Reliability, scale & compliance
Built to the audit standard healthcare demands.
Regard's technology stack is designed for the reliability, traceability, and compliance expectations of hospital customers and their regulators. Every fetch, every mapping, every diagnosis is accounted for.
- 01
Clinician-authored
Every condition in Regard is defined, reviewed, and approved by physicians. Engineering builds the platform; clinicians build the medicine.
- 02
Peer-reviewed rigor
Every piece of diagnostic logic goes through clinical peer review before reaching a single patient. Only approved versions are active — every prior version is archived for audit.
- 01
Clinician-authored
Every condition in Regard is defined, reviewed, and approved by physicians. Engineering builds the platform; clinicians build the medicine.
- 02
Peer-reviewed rigor
Every piece of diagnostic logic goes through clinical peer review before reaching a single patient. Only approved versions are active — every prior version is archived for audit.
- 03
Built for scale
Handling millions of chart loads across health systems without degradation. Infrastructure is designed to grow with clinical demand, not against it.
- 04
Continuously improving
Background work is scheduled to minimize impact on hospital infrastructure. Regard is designed to be a good citizen on the networks it connects to.
Where clinicians build the diagnostic logic.
Nexus is Regard's authoring environment for DXL. Clinicians assemble rules from typed blocks, review each version, and publish. An AI assistant drafts rules from a plain-language description, constrained to CCL concepts so it cannot invent a code that does not exist.
- 01
Visual, block-based authoring
Clinicians build DXL rules by dragging typed blocks. No code required, no engineering involvement.
- 02
Versioned & auditable
Each rule is a versioned definition: drafted, reviewed, published. Only published versions reach users; every prior version is archived.
- 03
AI assistant, constrained to reality
Drafts DXL from a plain-language description, but is constrained to CCL concepts, so it cannot invent a code that doesn't exist.
- 04
Medicine as data
Because the medical knowledge lives in the CCL and DXL rules, a new hospital is supported mostly through data changes, not new code.
Thrombocytopenia · Adult inpatient
Built to the audit standard healthcare demands.
Regard's technology stack is designed for the reliability, traceability, and compliance expectations of hospital customers and their regulators. Every fetch, every mapping, every diagnosis is accounted for.
- 01
Full auditability
Every FHIR API call and every patient load is logged with outcome, timing, and request identifiers, for both debugging and regulatory traceability.
- 02
Resilience by design
Failed fetches are automatically retried on the next load cycle. Graceful shutdown ensures in-flight patient loads finish cleanly. No partial data left behind.
- 03
Change-aware persistence
Data is hashed and compared on write, so only records that have actually changed are updated. Storage and processing costs scale with real clinical activity.
- 04
Off-peak scheduling
Background refresh work is deliberately staggered into a low-traffic overnight window, smoothing load on our infrastructure and on hospitals' FHIR servers.
See how Regard reads a chart.
Bring a de-identified case. We will run it end to end and show you every step the assessment came from.
