EngagementLive · in the productQueue & boardHand-crafted

LabExplain

Patients understand their results — in their own language.

Shown in the product as “Result Explanations”

Get LabExplain Open the appAvailable nowHow pricing works →

What it is

Two sides of the same flood: plain-language, non-alarming explanations of results for patients who now see them before their doctor calls, and inbox triage for clinicians that separates the truly actionable from the normal — with the clinician’s interpretation always the final word.

Who uses it: Doctors, patientsBuilt for: Every specialty
Reads: Results, doctor’s plan
Writes: Messages (after approval)
Never: Gives new medical advice
Access: Only people whose role includes it — the clinic owner decides who
Your data: Full PHI. Hosted in Boston, United States. On uninstall: Every record stays; only the workflow leaves.

How it works

Write the explanation once, per analyteWhat it measures, what a high value means and what a low one means — in words a patient reads at eleven at night on a phone.
It reaches nobody until a clinician reviews itA draft stays a draft, and the review carries the reviewer’s name. That is the gate between plain language and reassurance nobody meant to give.
Release it with the resultThe reviewed explanation goes out beside the number, which is what stops the search engine being the patient’s first source.
Answer what comes backPatient questions queue worst and oldest first, and the clinician’s interpretation is always the final word on the thread.

Rules it keeps

What it does not do, by design. A listing with only benefits is an advertisement.

It does not reassure or alarm beyond the evidence, and it never substitutes for the clinician — every explanation says so.

AI in LabExplain

AskQuestions about what is on screen — “What needs attention in LabExplain today?” — answered with the records it read.

DraftSummaries and notes for the team, marked as drafts until a person signs.

Not AIExplanations are clinician-reviewed templates; the AI draft is on the lab results screen.

Every answer shows its sources. Nothing AI writes is saved until a person accepts it.

Its 3 screens

To sendExplanations to send

ExplanationRahul Mehta · results explained

TemplatesExplanation templates

From the design, with its example clinic.

Try it

The design preview: every screen drawn with the product’s own blocks, on an example clinic’s demo data. Nothing here is a real patient.

Open full screen →

Design preview · Result Explanations · example clinic

Connected to

Read out of the code, not the brochure: each app below is here because one service queries the other’s tables. Install either side and the hand-over is already wired.

Reads from · 2

LabBridge Patient Registry

Hands to · 2

Patient Portal SmartReport

See the whole clinic →

Questions clinics ask

What does LabExplain do?

The result explained before the panic, triaged before the inbox drowns. Two sides of the same flood: plain-language, non-alarming explanations of results for patients who now see them before their doctor calls, and inbox triage for clinicians that separates the truly actionable from the normal — with the clinician’s interpretation always the final word.

What data does LabExplain read and write?

LabExplain reads verified results, reference ranges and writes patient explanations, triage flags. Its data class is Full PHI. Every app works on the same patient record — nothing is copied into a silo.

What does LabExplain deliberately not do?

It does not reassure or alarm beyond the evidence, and it never substitutes for the clinician — every explanation says so.

What happens to our data if we uninstall LabExplain?

Every record stays; only the workflow leaves.

Is LabExplain available today?

Yes — LabExplain is live in clinics today. Set up your practice on MedAppz and install it from your dashboard.

Want to see LabExplain running on your own patients?

Tell us what you run and we will show you this app inside a practice shaped like yours — or answer the question the page above did not.

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