CLINICAL EVIDENCE INTEGRITY
The lab reports the result. GOVERN checks what it supports.
GOVERN quietly gathers and evaluates the evidence behind lab results. When something needs closer review, clinicians see a clear explanation within their existing workflow, without another alert.
That same evidence can be organized with clinical records to support treatment decisions and medication access.
First application: LDL-C threshold assessment.
Start with a conversation. No patient data required.
Illustrative example · Fictional patient record
How GOVERN reviews a result
Gather the evidence
The reported LDL-C, panel values, and documented goal.
Identify what’s uncertain
Whether the available evidence supports the same conclusion.
Show what could clarify it
The source or additional evidence to review. The clinician decides what follows.
WHO IT HELPS
Who GOVERN helps.
Clinicians use GOVERN in their workflow. Patients and care teams benefit from evidence that carries forward.
Is anything important being overlooked?
- When your doctor evaluates your treatment
GOVERN brings relevant laboratory evidence into view when it warrants closer review, helping your clinician understand what the records support.
- When you need access to medication
GOVERN carries laboratory evidence forward with treatment records, then checks the package against the plan’s stated requirements.
GOVERN helps your care team see what the available records support and organize evidence for treatment decisions and medication access.
So important information isn’t overlooked when your care depends on it.
Does the evidence behind this result support the conclusion?
A small note sits beside the result in the view you already use. Open it to see the supporting evidence, the original source records and the reason for review.
The decision stays with you.
Does the record contain the evidence this plan requires?
Requirements source: Example Health Plan · Policy v3.2 · effective Jan 1, 2026
The packet shows what records establish for each stated plan requirement, what remains uncertain, and what documentation could complete the record. Source links stay visible, and a person reviews the packet before submission.
Nothing is submitted until a person reviews the packet.
Can each requirement be traced to its source?
Source-linked results, treatment documentation and explicit evidence gaps could make requests easier to assess.
The coverage decision stays with the payer.
Fictional example. Statuses describe the records, not a clinical judgment or a coverage decision.
HOW IT WORKS
How GOVERN works.
GOVERN gathers available, authorized records and evaluates them for the question at hand. It shows what the records establish, what remains uncertain, and what could clarify it. Evidence can carry forward, with a fresh check for each new decision.
- 01
Gather available records.
GOVERN brings together the lab report and related records it is authorized to use.
Laboratory report · March 12 - 02
Check the specific question.
GOVERN evaluates whether the available information supports the clinical goal or a documentation requirement.
Source-linked evidence note - 03
Show what the records establish.
The review explains what remains uncertain and what could clarify it. The clinician decides what follows.
In-chart note · medication-access packet
| Test | Reported result |
|---|---|
| Total cholesterol | 150 mg/dL |
| HDL-C | 45 mg/dL |
| Triglycerides | 180 mg/dL H |
| LDL-C | 69 mg/dL |
Clinical context · patient chartDocumented LDL-C goal: <70 mg/dL
Has this patient reached the goal?
Reported LDL-C is 69 mg/dL against a documented goal below 70. Another accepted calculation from the same panel gives 75 mg/dL, so the available calculations differ on goal status.
Why this review appearsThe threshold conclusion depends on which calculation is used.
The illustrative laboratory report shows LDL-C 69 mg/dL, a documented goal below 70, and same-panel total cholesterol 150, HDL-C 45, and triglycerides 180 mg/dL.
Friedewald estimates 69 mg/dL and Sampson/NIH estimates 75 mg/dL. This shows a threshold disagreement; it does not show which estimate is more accurate. No independent reference result is shown.
The laboratory source record could confirm how the reported value was produced. That would clarify origin, not accuracy. If the classification still matters, the clinician decides whether additional evidence is appropriate.
Fictional example; no live chart or laboratory records are connected.
Authorization evidence packet · illustrative example
Example plan requirementLDL-C reduced by at least 30% from baseline
Requirements source: Example Health Plan · Policy v3.2 · effective Jan 1, 2026
What the records establish
- Follow-up LDL-C: 69 mg/dLMarch 12 report, carried over from the evidence reviewReused
- Baseline LDL-C: 100 mg/dLEarlier report, Sept 4, 2025Located
- ?Reduction from baseline: 31%Calculated from the two reported values. The evidence note from step 2 still applies.Needs verification
- !Therapy start dateRequired by this policyMissing from available records
What remains uncertain: whether the baseline and follow-up results are comparable across methods; the example policy’s therapy start date is not in the available records.
What could clarify it: retrieve the method information for both results and the documented therapy start date, then check the applicable plan requirements.
- Medication listCurrent lipid-lowering therapy on fileLocated
- Supporting source recordsLaboratory reports and accession recordsLocated
Criteria vary by payer and are shown here only as an example. Each status describes the records, not a payer’s decision or the patient’s clinical eligibility. People review the package before anything is submitted.
OUR RESEARCH
Research first. Evidence in everything we build.
Our peer-reviewed studies examine how calculation methods and measurement origin affect LDL-C classifications near clinical thresholds.
- 3peer-reviewed studies
- 2journals
- 1independent editorial
When LDL-C equations disagree
Whether disagreement between established LDL-C equations near a treatment threshold can signal that a result deserves closer review.
Read the summaryCalculated values labeled as direct
Whether records labeled as direct LDL-C measurements in a large electronic health record cohort could contain calculated values.
Read the summaryWhen classification changes with the equation
How often LDL-C classification at treatment thresholds changes with the calculation used, in large retrospective datasets.
Read the summaryExplore our researchEach study is listed with the question it asked and what it does not show.
Bring us the clinical question
your team needs answered.
See how GOVERN fits your clinical workflow. Laboratory and informatics teams help bring it into your health system.
Discuss a clinical pilot Start with a conversation. No patient data required.