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CKM prevention interpretation Cardiovascular · Kidney · Metabolic

Every patient carries a risk story.

Risk Continuum helps them tell it.

See where your patient stands, where their numbers are heading, and what a plan would change.

Start RCCKM Assessment Watch a plan bend the curve ↓

38 synthetic demo cases to try · SmartPhrase template · Paste from any EMR

Position
Risk Continuum
Current: Level 3B
← Lower signal / lower urgencyHigher signal / higher urgency →

Level 3B | Emerging Risk Trajectory. Elevated 30-year trajectory plus actionable biologic burden.

A Level describes the pattern. PREVENT supplies the probability. Every patient gets a Level, including when a PREVENT estimate doesn't apply.

90%

of U.S. adults meet criteria for CKM syndrome. Nearly half are at stage 2, with metabolic risk factors or kidney disease, where prevention has the most room to work.

Aggarwal et al., JAMA, 2024
15 min

is the median primary care visit. The evidence is ready; bringing the whole cardiometabolic picture together in that time is the opportunity.

Neprash et al., Medical Care, 2021
47%

of U.S. adults 40–75 without heart disease are eligible for cholesterol-lowering therapy, and about 23% take it. A clear risk conversation at the point of care can help close that gap.

Alexander et al., J Gen Intern Med, 2025
Trajectory

Every number looked fine on its own.

Paste chart text with dated results and RCCKM lines them up. For this 52-year-old, three years of labs tell a story no single visit showed.

A1c · 3 dated results, Feb 2024 to Sep 2026Worsening

A1c increased from 5.2% to 6.1%.

Synthetic demo patient, dated results from the chart text. Trends add context; they never change the level, PREVENT or the actions on their own.

Try a plan

What happens if…

Start a statin? Bring her blood pressure down? Answer it in the room. Tap an intervention and RCCKM reruns the whole assessment for that scenario.

PREVENT population model
Risk and plan

Tap an intervention and watch the picture change. Each scenario is a full engine run.

† Trial-derived treatment effect   * Recalculated risk factor, not a treatment effect

TodayWith plan

100 similar patients over 30 years PREVENT model

12 may have a heart attack or stroke 0 fewer with this plan

Points are PREVENT's 10-year and 30-year estimates; the dotted lines only connect them. The 30-year plan value assumes the treatment effect is sustained. Synthetic demo patient; every value is RCCKM engine output.

Playing a demo. Tap a lever to take over.
The real screen

Every lever ranked, every number sourced.

In the app, levers are ranked by how much they lower 30-year risk. Drag any value, or stack levers to see what they do together.

  • 🔬LDL-C and systolic BP effects use CTT Collaboration and Ettehad 2016 trial data, cited on screen.
  • 🔁Other changes rerun the PREVENT equations with the new value.
  • 🧭Level and actions update for the patient with those values.

Modeled estimates for clinician review. A lower modeled value does not establish an individual treatment benefit.

Risk and plan
The app's Risk and plan card: statin and systolic BP 120 selected, each button showing its PREVENT change, timeline showing 30-year ASCVD 12.2% today and 7.9% with the plan, ranked levers with trial sources
Documented

The conversation goes in the note.

One click adds the plan you discussed under "Risk Reduction Discussed", with the modeled numbers, worded as an estimate rather than an order.

Clinical report · EMR plain text
EMR plain-text note ending with Risk Reduction Discussed: statin therapy and systolic BP 120 mmHg, modeled PREVENT ASCVD 10-year 2.1% to 1.4%, 30-year 12.2% to 7.9%
Shared decision making

Make the decision together, with the numbers on the screen.

Patients decide better when they can see their own risk and what each option would change. RCCKM gives you something to point at, a way to try options together, and a record of what you talked about.

👥

Risk they can picture

"About 2 in 100 similar patients," with a 100-person array at 10 and 30 years.

📉

A curve they can watch bend

Today and the plan on one timeline, out to age 82 for this patient.

📝

The conversation, documented

"Risk Reduction Discussed" goes in the note with the numbers you shared.

🗺️

A roadmap to take home

Where you stand, why, your goals and your next steps, in plain language.

PREVENT card: 2.12% 10-year ASCVD risk, about 2 in 100 similar patients, shown as 2 highlighted people out of 100
In the room. Risk represented visually.
On the way out

A roadmap in the patient's language.

Where they stand, why their risk is higher, their goals next to their current numbers, and numbered next steps. Copy it into the after-visit summary or print it.

Patient Prevention Roadmap: where you stand, why your risk is higher, your goals, your next steps
On the way out. A printable roadmap in the patient's language.
The report

One assessment. The whole picture.

Paste de-identified chart text or enter values in the worksheet, then press Start Assessment. Everything below comes back in seconds from a deterministic engine you can audit.

📍

Position

Level 1 to 5 on the continuum, with the pattern named.

❤️

Risk and plan

PREVENT at 10 and 30 years, the timeline, and Try a plan.

📈

Trajectory

How A1c, LDL-C, eGFR, BP and weight have moved.

🫘

Staging

CKM and KDIGO stage, plus diagnoses you confirm.

🎯

Actions

LDL-C and ApoB targets with numbered next steps.

🧱

Signal score

Every contributor to risk burden, counted.

📝

Note

Plain text for the EMR, or a visual PDF report.

🗺️

Roadmap

A plain-language handout for the patient.

Signal burden
Risk Signal Score
0
Signal contributors

Ordinal burden score, not an event probability. Displayed RSS equals the sum of the contributors shown.

Risk Signal Score

Watch the burden stack up.

Each contributing signal drops onto the stack and the score counts up by its points. Every patient is drawn on the same unlabeled canvas, so equal points look equal across patients.

Synthetic demo patients; contributors and points are RCCKM engine output.

Trajectory
Trajectory in the app: A1c, eGFR, UACR, LDL-C, triglycerides, systolic BP and weight with sparklines over 31 months, and an A1c detail chart
📈 The direction, not just the snapshot.Dated results from the chart text with sparklines and the change over time, the same view you get in the app.
Data-derived diagnoses
Data-derived diagnoses with the supporting value and ICD-10 code for each
🫘 Diagnoses with the evidence attached.Each one shows the value behind it and its ICD-10 code. You confirm before it goes in the note.
Targets and actions
Targets for LDL-C and ApoB next to a numbered action list for lipids, plaque, kidney, blood pressure, glycemia and aspirin
🎯 Walk out knowing what to do.Targets beside numbered actions. Hover any underlined line for the reasoning.
Try it here

Pick a patient. Read the note RCCKM wrote.

Four synthetic demo patients, from a clean prevention visit to very high plaque burden on a statin. Each note is the engine's own output.

Clinical report · ready to paste

      

    

  







  

    How it works
    
From chart text to a plan in about a minute.

    

      
01 · 📋
Paste or enter
Paste de-identified chart text or your SmartPhrase, or type values straight into the worksheet. When you paste, a rule-based parser fills the worksheet and shows what it found for you to confirm.

      
02 · ⚡
Start Assessment
Position, PREVENT, signal score, trajectory, staging, diagnoses and actions in seconds, from a deterministic engine. The optional AI Clinical Pearl is labeled and kept separate.

      
03 · 🎚️
Try a plan
Tap interventions with your patient and watch the curve move. Add the plan you agree on to the note.

      
04 · ✅
Copy and hand off
Paste the note into the EMR and print the roadmap before the patient leaves.

    

  






  

    Who it's for
    
Built for every clinician in the CKM space.

    

      
🩺
Internal Medicine
Sort out which intervention to prioritize in complex patients.

      
🏥
Family Medicine
Follow each patient's trajectory visit after visit.

      
❤️
Cardiology
See the metabolic, kidney, lipid and plaque drivers upstream.

      
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Nephrology
Kidney function, albuminuria and CV risk in one frame.

      
🩸
Endocrinology
Diabetes care with heart and kidney risk in view.

    

  






  

    

      Methods & evidence
      
Questions behind the numbers.

      
Explore the science, see how scenarios are built, and discover the next steps for clinical evaluation.

      Read the FAQs 
    

    

      
Where do the risk estimates come from?
PREVENT supplies event probabilities for eligible patients. RCCKM levels and the Risk Signal Score organize clinical findings separately.

      
What does the simulator bring to the conversation?
Explore options together using trial-derived LDL-C and blood pressure effects and supported PREVENT recalculations, with the methods in view.

      
What supports the platform?
Published equations and clinical frameworks underpin the assessment. Software checks and synthetic-case testing support development, with independent clinical evaluation as the next step.

    

  







  

    

      

        
Shereef El-Ibiary, MD, founder of Risk Continuum CKM, smiling in a black polo

        
Shereef El-Ibiary, MD · Founder, Risk Continuum CKM

      

      

        Meet the founder
        
Built by a physician. Grounded in clinical practice.

        
Shereef El-Ibiary, MD

        
Internal Medicine · Primary Care · Hospital Medicine · Population Health

        

        
We are at a remarkable moment in medicine. Advances in technology, treatments, and clinical evidence are opening new possibilities for prevention. Our patients’ records hold valuable information about their health and how it is changing. The opportunity now is to bring it all together, efficiently and meaningfully, at the point of care and beyond.

        
After nearly two decades caring for patients across primary care, hospital medicine, and population health, I built Risk Continuum CKM to help put that opportunity into practice. RCCKM connects a patient’s history, clinical findings, and trends with relevant evidence, helping clinicians see the whole picture and turn that understanding into an individualized approach to prevention.

        
My goal is to make comprehensive prevention easier to deliver in everyday practice. By bringing the information and evidence together, we can support clinician judgment, strengthen conversations with patients, and extend our attention from today’s decisions to long-term health.

        

        
Reconcile. Curate. Care.

      

    

    

      
"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."

      
More birthdays. More weddings. More graduations.

    

  







  

    
    
See it on your next patient.

    
Paste de-identified chart text or enter values in the worksheet. Want a quick look first? Try one of the demo cases.

    

      Start RCCKM Assessment
      Create a free account
    

    

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Health systems and practices: we're exploring pilot partnerships. If you'd like to evaluate RCCKM with your team, get in touch.