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Free Screening
Gap Analysis
Standard EHR tools only read discrete fields. Regard reads the whole record to find eligible patients buried in echoes, notes, and reports.
Find eligible patients your screening missed
How it works
Three steps, results in two weeks, minimal IT lift
Scope a sample
We align together on the slice of your census to analyze. A standard BAA clears data access before anything moves, and our team handles the paperwork.
Extract the data
One historical extract covers it: labs, vitals, notes, and the echoes where qualifying values hide. Under four hours of your IT team's time.
Review the findings
Findings land in under two weeks. Together we go through the count, the dollar math, and the source evidence behind every flagged patient.
What you'll get
Your missed cases, counted and quantified
You get a count of patients in your data who were eligible for a procedure, consult, or intervention that never happened, plus what those cases are worth. Every finding cites its source: the echo, note, lab, or weight trend behind it.
Illustrative output. The figures shown are examples; your report reflects your own data.
Use cases
Two ways systems run the analysis.
Pick the track that fits your team, or run both.
Cardiology
Quantifies what missed follow-up costs cardiology and other high-value service lines in lost procedure volume.
Malnutrition
Counts the acuity you treated but never documented: patients across the census whose record supported a malnutrition diagnosis that was never made.
Impact
What closing these gaps is worth.
Every one of these numbers is a diagnosis problem: a qualifying value in a free-text echo, a weight trend no screening tool read.
Regard has recommended millions of diagnoses that would have otherwise been missed, across more than 150 hospitals nationwide.
What is Regard?
Diagnostic intelligence across the health system
Regard's diagnostic intelligence platform reads the full record on every patient to catch what gets missed. Scout is its population-level layer: it finds patients already eligible for a high-value procedure, consult, or intervention who have not been acted on. Health systems use it to close care gaps, grow procedural volume, prevent revenue leakage, and reduce readmissions.
FAQ
Frequently asked
questions
The questions service-line and quality leaders ask before running it.
One historical data extract, defined jointly before work begins. Most IT teams complete it in under four hours. A standard Business Associate Agreement is executed before any data moves, and the extract is limited to a patient sample your organization approves. The analysis runs under the same security controls as Regard's live EHR deployments and is available for Epic and Oracle Health (Cerner) systems.
Keyword filters and standard EHR tools work from discrete fields, so evidence buried in unstructured echoes, notes, and reports never surfaces. The analysis runs the same engine as Scout: it reads the whole record, including unstructured text, across every patient in the sample. It's the same approach behind Scout's prioritized, evidence-backed worklist in live deployments.
The analysis is how we demonstrate Scout's value: it shows, on your own data, what current screening is not capturing. There is no fee and no purchase commitment. If the findings are material, we'll propose a working session on how Scout addresses the same gaps prospectively; whether to continue is your decision.
