INTAKE

PATIENT SUMMARY

LABORATRY TESTING

LABORATRY ANALYSIS

Predictive Dysfunctions Index ™

Personalized Treatment Protocols

AI-Powered Notes

Other Productivity Tools

From AI to Probability of Dysfunction

(Predictive Dysfunction IndexTM)*

Predictable Results - Data and Biostatistics

Bioinsights leverages advanced data analytics and biostatistics to transform complex health information into clear, actionable insights. By grounding every recommendation in evidence and measurable outcomes, we empower providers to deliver predictable results, improve patient confidence, and optimize long-term health outcomes.

Where AI Might Be the Killer App — Predictive Modeling Controls All of the Variables

At Bioinsights we combine:

P(Dysfunction) = 1 1+e−(𝛽0+𝛽1+𝛸1+𝛽2𝛸2”+⋯+”𝛽n𝛸n)
Where n= Coefficients for each predictor (symptom score, lab result, biomarker, etc.) and Patient-specific data inputs

Advanced Predictive Modeling - Probabilistic Scoring

Probability Scoring

Bayesian principles adjust the probability of dysfunction as new lab results or symptoms are added:

P(D|E) = P(E|D) x P(D) P(E)
We continuously update a patient's Dysfunction Probability Score using Bayesian reasoning—meaning every symptom, test result, or biomarker improves diagnostic accuracy in real-time.

Advanced Predictive Modeling

Multivariate Predictive Model with Interaction Effects

Bayesian principles adjust the probability of dysfunction as new lab results or symptoms are added:

P(@ysfunction) = a+∑ β₁X₁+ ΣΣΧ α+Σ i=1 j=1 k=j+1
Isolated data points—they map how symptoms, labs, and risk factors interact, revealing hidden patterns of dysfunction.

Time Saving Impact For Providers

By automating complex diagnostics, predictive modeling, and documentation through Bioinsights, providers save over 790 hours per year—the equivalent of nearly 20 work weeks—giving them back time to focus on care, grow their practice, or simply reclaim their sanity.

Examples of AI + Thoughtful Design

Manual Workflow Estimate

Disparate Systems – Current

  • Patient Intake Review: 15 minutes
  • Lab Result Analysis: 30 minutes
  • Dysfunction Pattern Recognition: 20 minutes
  • Personalized Protocol Design: 25 minutes
  • Patient Documentation: 15 minutes
Total Time Per Patient ~ 1 hour 45 minutes

Time Saving Comparison

1 hour 35 min saved on average using the Bioinsights platform

Bioinsights Workflow Estimate

Using AI & Predictive Modeling

  • Automated Data Synthesis:1 minute
  • Dysfunction Probability Scoring:Instant
  • Protocol Selection with Clinical Guardrails:5 minutes
  • AI-Generated Documentation:3 minutes
Total Time Per Patient ~ 10 minutes

AI Alone Doesn't Make Decisions — Bioinsights Ensures They Make Sense.

Built for clinicians who refuse to trade medical judgment for machine output — but want both

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