Rubik MD

For medical directors, CMOs & clinic owners

Complete oversight of every chart.

Every visit checked against your protocols and clinical guidelines. Monday, a ranked queue: what needs your eyes, why, and the source line.

  • 99% accuracy on our proprietary GLP-1 benchmark
  • Private: charts stay in your environment

Built for clinics like yours

GLP-1 & Metabolic Hormone Health ADHD & Psychiatry Fertility Weight management
$56M

Average top-50 U.S. malpractice verdict in 2024. Up 75% from $32M in 2022 ($48M in 2023).

The Doctors Company · AMA

87%

Of the largest publicly detailed 2025 mega verdicts left documentation-visible footprints: missed monitoring, dosing errors, follow-up failures.

Expert Institute · documentation-visible footprints in 20 of 23 cases

~$463k

Mean paid malpractice claim (NPDB 2025, provisional). One paid claim already dwarfs a year of oversight software.

NPDB Data Analysis Tool

99%

Accuracy on our proprietary GLP-1 chart benchmark. Charts stay in your environment.

Proprietary GLP-1 chart benchmark · see compare note below

You sign for every chart. Now you can see them.

Chart review today is a thin random sample, weeks late. A top-50 verdict averages $56M. Most mega-verdict failure modes were already in the note: missing labs, thin documentation, contraindications, dosing, missed follow-ups. You’re accountable for all of it. States keep raising the floor.

What lands on your desk every Monday

Every encounter reviewed

Every visit checked against your protocols and clinical guidelines. Notes, intakes, labs, scripts, follow-ups. Not a sample. All of it.

Full cohort

Prioritized Monday queue

A ranked queue: which cases need manual review, why they flagged, and the exact snippet behind each.

For directors

Documented oversight trail

Every review logged. When a regulator, insurer, or attorney asks how you supervise, you show a record, not a policy binder.

Audit trail

Legal Context Pack

Same visit, a separate brief for in-house counsel: public dockets, warning letters, and enforcement patterns tied to the clinical flag. Not legal advice. Not for the medical director’s triage.

Counsel handoff

Flags grounded in clinical proof.

Rubik MD doesn’t diagnose your patients. It points you where to look first, and every flag carries its reason and the source line behind it, so you confirm or dismiss with the source line in view.

  • Runs on your clinic’s own protocols and clinical guidelines
  • Source-linked evidence behind every flag
  • Fully private · no EHR integration required

Missing labs

Treatment started or continued without the workup your protocol requires.

See the walkthrough

Caseload View

Rubik MD review queue showing a weekly batch with prioritized flags and case detail

A week of care, reviewed before you sit down Monday.

Your clinic exports visit data at week’s end. Processing runs fully private on your side. Monday the queue is waiting: every encounter reviewed, nothing changed in the clinician’s day.

Practitioner Cases Status
Dr. Aris 14 Imbalanced
Dr. Chen 3 At limit
Dr. Patel 6 Balanced

Catch it the same week, not at deposition.

Flag: Missing baseline labs

GLP-1 started without a baseline metabolic panel. Protocol requires labs within 30 days.

Source: visit note, Jul 8 · See walkthrough evidence →

Same license. Far more visibility.

Medical directors already sign for every chart. The gap is what they can actually see: a thin random sample weeks later, or a full weekend review ready Monday morning.

Dimension Without Rubik MD With Rubik MD
Chart coverage Random sample of roughly 1–5% of visits. Most charts are never touched. Every encounter screened. You get a ranked queue of what needs a second look.
Timing Manual review weeks or months after the visit, after the trail has cooled. One export at week’s end. Weekend processing. Queue waiting Monday morning.
What you see Whatever happened to get sampled. No view of what slipped through the rest. Missed labs, dosing gaps, follow-ups, thin notes. Each with the source line.
Why a chart was reviewed Usually no record of why a chart was pulled, or why it wasn’t. Every flag cites protocol, label, or guideline. Confirm or dismiss is logged.
What you can show A protocol binder or an attendance credit when someone asks how you supervise. An oversight log: volume reviewed, flags raised, decisions recorded.
Clinician workflow True 100% human review doesn’t scale, so it doesn’t happen. Zero change to the treating clinician’s day. Oversight runs on the export.
Your judgment Still liable for care you largely can’t see. Sampling feels fine until it isn’t. You still decide. Rubik MD points where to look first. It doesn’t replace you.

Not a medical device and not a diagnosis. Dollar figures are published malpractice benchmarks, not a claim that Rubik MD prevents litigation. The 99% figure is measured on our proprietary GLP-1 chart benchmark.

The team behind Rubik MD

Nazmi has lived the medical-director gap inside a telemedicine company. Berend builds the detector and the benchmarks that score it.

Nazmi Shehi

Nazmi Shehi

CEO & Co-founder

Runs the clinic side. Founded a Plug and Play-backed telemedicine company. He has watched medical directors sign charts they never read. Rubik MD gives them the Monday queue they were missing.

LinkedIn →
Dr. B.J.D. Gort (Berend)

Dr. B.J.D. Gort (Berend)

CTO & Co-founder

Builds the detector, the BoardQA benchmark, and the scoring pipeline. Research engineer focused on production LLM infrastructure and measurement that stays honest on synthetic chart cohorts.

LinkedIn →

Straight answers for the people who sign for care.

What Rubik MD does, how we start, and the hard questions medical directors and operators ask first.

The problem and the product

What problem does Rubik MD solve?

Clinical oversight doesn’t scale with consultation volume. The industry standard is a manual, random review of around 5% of charts, often weeks or months later. Everything else goes unreviewed.

Rubik MD helps review 100% of charts, surfaces the cases that need human attention most, and shows why. Clinical expertise lands where it matters, and the people responsible for oversight get full visibility for the first time.

What does Rubik MD actually do?
  • Reviews every chart asynchronously, in the background over days, so the review can be deep enough to find what would otherwise never surface.
  • Flags deviations, ambiguity, and risk: dosing outside protocol, outdated treatments, missed red flags, follow-ups that never happened.
  • Cites the exact trigger on every flag: the lab value, the titration, the missed follow-up.
  • Puts flagged cases in a prioritized queue where clinical leadership confirms or overrides each one, and everything gets recorded.
What does Rubik MD check charts against?

Named, verifiable sources. Not an AI black box; every check has a source:

  • FDA-approved prescribing information (official drug labels: dosing, contraindications, warnings).
  • Clinical society guidelines.
  • Your own protocols: the internal documents medical leadership already uses, digested so review matches how your clinics actually work.
Does Rubik MD make clinical decisions?

No. Rubik MD is read-only and assistive by design. It never touches the patient, the chart, or the live workflow; it never diagnoses, prescribes, or recommends treatment. It surfaces cases and evidence. Your clinicians own every judgment.

Working with Rubik MD

What do we need to integrate?

One periodic export of visit data (notes, labs, prescriptions). Not a live EHR project, no workflow change for treating clinicians, and we stay read-only. On many cloud ambulatory systems a practice admin can produce that export themselves. On Epic, the path depends on whether the clinic owns the instance or sits on Community Connect; we still start with a small chart package and never write back into the chart.

What happens to our data?
  • Data is pseudonymized before analysis.
  • Processing runs on local, private models; nothing is shared with public AI services.
  • Nothing is stored beyond the analysis itself; no patient data is retained long-term.
  • Engagements run under a standard Business Associate Agreement (HIPAA).
How do we start?

One location, one export, a small batch of charts. We show you what surfaces from an ordinary week of ordinary practice. That alone tells you everything. From there, the same export on a regular cadence, across as many locations as you want visibility into.

How fast can we be up and running?

Days, not months. The first batch of results arrives within a week of the first export.

Who is Rubik MD for?
  • Initial focus: outpatient specialty care. GLP-1 and weight-management clinics first, with hormone therapy, psychiatry, and behavioral health as fast follows.
  • Broader fit: any fast-scaling or multi-location medical network whose consultation volume has outgrown manual oversight.

Why it matters

Why is now the right moment?
  • Malpractice is getting more expensive, and regulators are asking scaling groups for proof that clinical oversight keeps pace with growth.
  • Liability carriers already grant premium credits for weaker oversight evidence than a live, 100%-coverage review record.
  • AI is spreading across clinical operations; the more it is used, the more attentive oversight the work requires. We are that oversight layer.
How is Rubik MD different from AI copilots and scribes?

Different user, different moment, different job:

  • Copilots assist the treating clinician, live, inside the encounter.
  • Rubik MD serves the people accountable for oversight, after the encounter, across all encounters: deviations, ambiguity, and risk.

The two are complements. The more copilots produce richer documentation, the more there is to oversee.

Isn’t this just CDSS in the EHR?

No. CDSS is a live guardrail on the ordering screen. It fires at the prescribing clinician on one order in isolation, which is why alerts get dismissed mid-visit.

Rubik MD reviews the full chart asynchronously, across days or months and across the organization’s charts, for deviations that only show at that depth. Flags go to the people accountable for oversight (site medical director, CMO), not the busy daily prescriber, and every flag carries its source.

How do we know it works?

On our proprietary GLP-1 chart benchmark, Rubik MD reaches 99% accuracy. Clinical validation happens with design-partner data, on real charts, reviewed by the client’s own clinical leadership. That’s what the pilot is for, and why the first batch tells you everything.

Is our data used to train AI models?

No. Your data is used only to run your review. The system does improve at your specifics: each confirmed or overridden flag tunes it to your protocols, and that tuning belongs to your deployment.

The hard questions

What happens when your system misses something?

We raise the floor; we don’t promise a ceiling. Today, the miss rate on the 95% of charts nobody reviews is 100%. Rubik MD screens everything, prioritizes what carries risk, and documents human review of those cases. No process, human or machine, guarantees detection. What we guarantee is systematic coverage, sourced reasoning, and a recorded resolution for everything surfaced.

Will this bury our medical director in false alarms?
  • Every flag targets a deviation against a named source: a protocol, the prescribing information, or a guideline.
  • Sources and reasoning arrive cleanly organized, so triage takes seconds.
  • The queue is prioritized: highest-risk, highest-uncertainty cases first.
  • Every confirm and override tunes the system to your protocols, so noise drops batch after batch.
Will our clinicians feel policed?
  • We review cases, not clinicians. No scorecards, rankings, or individual metrics.
  • A surfaced case is not an accusation. Plenty of what we surface is fine; the value is that it was seen at all.
  • Medicine moves faster than any practitioner can track alone. Surfacing what’s hard to keep up with is how the organization supports its clinicians.

This is visibility into what’s happening. It is not policing.

See every chart you sign for.

Know what went out last week before Monday morning.