Structured risk interpretation

Every patient carries a risk story.

Risk Continuum helps them tell it.

Drop in the labs, meds, and history. In seconds: a high yield report showing risk level, the drivers behind it, targets, ICD codes, a copy-paste report, and patient roadmap, along with an AI Clinical Pearl.

Get started See how it works

Try it Out, 30 + demos, smartphrase template available, EMR agnostic

90%
of U.S. adults have at least one CKM risk factor. Nearly half meet criteria for stage 2 or higher, often without knowing it.
Aggarwal et al., JAMA, 2024
15 min
Median primary care visit. Not enough time to piece together a full cardiometabolic picture without a structured layer.
Neprash et al., Medical Care, 2020
47%
of adults eligible for lipid-lowering therapy are not receiving it. Structured risk interpretation may help close that gap at the point of care.
Patel et al., Johns Hopkins, 2025
Built by a practicing internist Current risk equations Transparent, auditable engine Clinical decision support only No patient identifiers
One click · Five outputs

Data in. Clarity out.

01
Risk level on the continuum

Level 1–5 placement, with the named driver pattern (e.g. "Level 3B · early CKM / atherogenic").

02
PREVENT 10y & 30y risk

Current AHA equations, both horizons. Banded Low / Borderline / Intermediate / High.

03
Signal Score with drivers

A 0–100 score that names the actual contributors — ApoB, family hx, hsCRP, A1c — with weights.

04
ICD codes & targets

Diagnoses derived from the data (E78.89, E11.9, N18.x…) plus per-domain targets ready to discuss.

05
AI Clinical Pearl

Copy-paste structured report for the chart, and an Independent AI review with Clinical Pearl.

Live demo · The risk continuum

See where a patient lands. Then see the report.

Pick a representative patient. The marker slides to their position on the risk continuum and a structured report appears inline — the same shape of output RCCKM produces from your real inputs. Representative examples shown for demonstration.

LowLevel 1 · CKM 0–1
BorderlineLevel 2–3 · CKM 1
HighLevel 4 · CKM 2
Very HighLevel 5 · CKM 3–4
Generated assessment · ready to paste
Why this matters now

Surface the risk signals buried in the chart.

ApoB, Lp(a), a missing UACR, eGFR, CAC score, A1c, BP, medications — the most important cardiometabolic data points are spread across the record, or may not have been checked. Clinicians have had to process all that information quickly, while simultaneously handling all the other aspects of a visit...until now. RCCKM does that assembly for you.

From fragmented chart data to structured CKM interpretation.

Find the patterns hiding in plain sight.

Labs, imaging, medications, and risk markers from across the record go in. The cardiometabolic story they tell together comes out — surfaced, structured, and ready to review.

Turn fragmented data into a clear clinical report.

CKM stage, kidney risk, ASCVD risk, drivers, treatment considerations, and a copy-ready EMR report — all derived from the data you already have.

A second read, instantly.

Expert Commentary delivers an independent Agree / Disagree verdict citing this patient's actual numbers. Not to replace your judgment. To pressure-test it.

Less chart assembly. More clinical time.

What this is

Surface the cardiovascular, kidney, and metabolic risk signals buried in the chart.

From fragmented data to structured interpretation.

Physician-built clinical decision support.

Turn siloed labs, imaging, medications, and risk markers into structured CKM interpretation. Expert Commentary included. The visit stays about the patient.

Deterministic Guideline-aligned PREVENT-era ApoB-forward CKM-integrated EMR-agnostic Missingness-aware ICD-aware
Features

Cardiometabolic risk, surfaced and structured.

Built for the pace of a real clinical day.

Five levels. One clear position.

Every patient is placed on a continuum from minimal signal to very high risk. Direction and urgency emerge from the data already in the chart.

Risk Continuum Current: Level 3B
Level 1Minimal risk signal
Level 2Emerging risk signals
Level 3BActionable early CKM
/ atherogenic risk
Plaque unmeasured
Level 4Subclinical
atherosclerosis
present
Level 5Very high risk
▼
  • UACR 45 mg/g
  • eGFR 55
  • Diabetes (A1c 7.1%)
  • BP 132/82
  • ApoB 110 mg/dL
Lower signal / lower urgency Higher signal / higher urgency
Shared decision making

Clarity, on both sides of the conversation.

Your structured report, ready to paste. A plain-language summary your patient takes home. One analysis covers both.

Better clarity, better decisions.

🩺
For the clinician

Risk level, staging, targets, ICD codes, and numbered actions. Structured, ready, and waiting. Walk in knowing. Walk out documented.

🧑‍⚕️
For the patient

A plain-language prevention roadmap they take home. Drivers named clearly. Goals shown alongside current values. Next steps numbered and actionable.

💬
The conversation that follows

When patients understand their own risk story, the conversation changes. Shared decision making becomes real, not just a checkbox.

"I wanted a way to figure out patients' cardiovascular risk quickly: and catch the signals to alter course well before events, using the routine data we already have or can easily get."

Shereef El-Ibiary MD  ·  Internal Medicine  ·  Practicing clinician and RCCKM founder

Who it is for

Built for every clinician in the CKM space.

Cardiometabolic risk touches every specialty. RCCKM works wherever you do.

🩺
Internal Medicine

Structured CKM interpretation for complex multi-morbidity patients. Know which intervention to prioritize and why.

🏥
Family Medicine

Manage CKM risk longitudinally across your panel. Stay ahead of every patient's trajectory at every visit.

❤️
Cardiology

Quantify upstream metabolic, renal, lipid, and plaque contributors driving downstream cardiovascular outcomes.

🫘
Nephrology

Kidney function, albuminuria, cardiovascular risk, and treatment implications in one CKM-aware frame.

🩸
Endocrinology

Diabetes and metabolic disease managed with cardiovascular and kidney trajectory visible in real time.

Trajectory redirected.

Built for clinicians with the greatest power to change what happens next, before disease is established.

How it works

From patient data to documented insight in under 60 seconds.

Basic data in, consistent, guideline-aligned recommendations out, with just a few clicks.

01
Paste de-identified data

Copy and paste de-identified data from your note into the provided template, or key it in directly. The hardwired parser catches most common formats — no AI, no PHI leaves your browser.

02
Engine runs

Risk level, PREVENT score, CKM staging, treatment targets, ICD codes, and numbered recommendations — all in seconds.

03
AI Insight

AI Insight with Expert Commentary adds context and perspective to every case, right when you need it most.

04
Ready to use

Your report is ready to paste. Your patient has a plain-language summary to take home. Both done before they leave the room.

A Tuesday, 11:00 AM

Your next patient is already on your screen.

Routine visit. You hunt for the relevant labs — albuminuria, Lp(a), eGFR trends — check what might have been missed, recheck family history, calculate risk scores and kidney stage, remember which cutoffs apply to this patient, then try to assemble it all into something you can explain. RCCKM curates that work for you: every signal surfaced, visualized, and ready to discuss.

01 · Walks in
58 y/o, routine follow up.
"No complaints, feeling well"
BP  142/88
A1c 6.0
LDL-C 138 · ApoB 110
Lp(a) 160 nmol/L
eGFR 82 · UACR 18
Father MI 56
The chart you'd normally spend the visit reading.
02 · You do this
Paste structured data from the chart.
The parser maps labs, vitals, and history into the worksheet fields automatically. Review, then click Interpret.
> paste from chart
> auto-fill worksheet
> review fields
> interpret ✓
elapsed · ~ 45 sec
Less time than refilling the screen.
03 · You walk in with
A conversation, not a chart hunt.
Risk level, the drivers, the targets, the ICD codes — and a note ready to paste.
Risk level Level 3 · actionable
Top driver Lp(a) 160 + family hx
Target ApoB <80, BP <130/80
ICD E78.41 · Z82.49 · R03.0
Next step High-intensity statin · CAC
Ready before they're done getting comfortable.

Synthetic patient · representative example · no PHI ever enters RCCKM.

Mission

Why Risk Continuum Was Built

Every patient carries a risk story.

Risk Continuum helps them tell it.

RCCKM was created by a practicing physician after years of caring for patients across primary care, hospital medicine, and population health.

RCCKM was designed to bring the data points together into a clear, actionable picture of risk and opportunity, helping clinicians quickly identify what matters most and where intervention may have the greatest impact.

Because behind every risk score is a person, a family, and moments that still lie ahead.

Our goal is simple:

Better prevention.

Clearer decisions.

More time for the moments that matter.

More birthdays. More weddings. More graduations.

See For Yourself.

Structured risk interpretation for every visit.

Get started
Output gallery

Fake patient · real output · hover to inspect

rcckm — risk_continuum
Risk Continuum · RCCKM

Level 5 · Very High Risk

1
2
3
4
5
CKM 3 · KDIGO G2A1 · CAC 350 · ApoB 110 · Lp(a) 160 nmol/L
Risk Continuum staging
rcckm — risk_signal_score
Cumulative Risk Burden

RSS · 14 active signals

CAC plaque burden+18
ApoB elevation+12
Elevated Lp(a)+10
Reduced eGFR+6
Hypertriglyceridemia+5
Premature family history+4
A1c 6.0 · prediabetes+3
Risk Signal Score
rcckm — where_patient_falls
Where This Patient Falls

Drivers · Contributors · Context

MajorCAC plaque burden350
MajorApoB · LDL particles110
Contrib.Lp(a)160 nmol/L
Contrib.eGFR · UACR82 · 18
ContextPremature family hxBrother MI 50
NeededRepeat lipids · 6 wkpending
Where this patient falls
rcckm — diagnoses
Data-derived Diagnoses

Assessment · ICD · HCC

Severe subclinical coronary atherosclerosisI25.10HCC
HypertriglyceridemiaE78.1
PrediabetesR73.03
Elevated lipoprotein(a)E78.41
Mixed hyperlipidemiaE78.2
Data-derived diagnoses
rcckm — prevent
PREVENT · AHA 2023

10-yr & 30-yr Estimates

10-yr ASCVD
14%
heart attack · stroke · CHD
10-yr Total CVD
18%
+ heart failure
30-yr ASCVD
38%
long-trajectory
30-yr Total CVD
46%
+ heart failure
About 14 in 100 similar patients may have an ASCVD event over 10 years.
PREVENT risk
rcckm — emr_note
EMR-ready Action Plan

Recommendations

1Lipids. High-intensity statin; recheck ApoB/LDL-C in 6 wk. Goal LDL-C <70, ApoB <80.
2Plaque. CAC 350 documented; no repeat CAC for current decisions.
3Blood pressure. Treat to <130/80; current 136/82.
4Glycemia. Prediabetes — lifestyle & weight; reassess A1c in 6 mo.
5Aspirin. Only after shared decision if bleeding risk is low.
Action plan · EMR report

Representative examples shown for demonstration. Synthetic patient · not real PHI.

Clinical decision support only  ·  Not a substitute for clinical judgment  ·  Do not enter patient-identifying information