The OrthoScienus operating model

Make the rigorous path the easy path.

Five connected layers take a question from explicit specification to a useful artifact—and then return real outcomes to future judgment. The model is public; internal prompts and infrastructure are not.

  1. 01Specify
  2. 02Estimate
  3. 03Verify
  4. 04Communicate
  5. 05Update
01

A controlled path from question to reviewable output.

Evidence Engine

A specification-first workflow that moves research through explicit planning, execution, and review gates. The framework is designed to make the rigorous path easier to follow and easier to audit.

  • Define the intended artifact before drafting
  • Keep analysis and source claims traceable
  • Use reporting guidelines as working checklists
02

Magnitude and precision before threshold labels.

Estimation First

Point estimates, absolute effects, and 95% confidence intervals carry the interpretation. P-values, when present, remain supplementary rather than load-bearing.

  • Report the effect in clinically readable units
  • Interpret interval location and width
  • Separate statistical compatibility from clinical importance
03

Guidelines scored and citations checked.

Verification Layer

Study-specific validators check STARD, STROBE, PRISMA-ScR, TRIPOD, and related requirements. References must resolve through authoritative sources; unverifiable claims are flagged rather than completed by guesswork.

  • Use the correct reporting guideline
  • Verify identifiers and quoted endpoints
  • Surface limitations instead of softening them
04

Prediction, outcome, debrief, update.

Decision Journal

A private proof of concept for recording preoperative predictions, intraoperative pivots, resolved outcomes, and calibration over time. The public site demonstrates the idea without collecting clinical case data.

  • Record predictions before outcomes are known
  • Separate decision quality from outcome quality
  • Use repeated feedback to recalibrate judgment
05

Honest probability in forms patients can use.

Patient Compass

GRADE-rated fact boxes and natural-frequency displays make baseline risk, uncertainty, and pathway dependence visible without promising an individualized prediction.

  • Prefer natural frequencies to opaque percentages
  • Show uncertainty and evidence certainty
  • Use patient-facing artifacts to support—not replace—conversation

Put it to work

Start with the public instruments.

Use the risk visualizer and estimation translator without an account.

Open the free tools

Framework interest

Tell us how you would use it.