Medical intelligence for outpatient care
Turn fragmented records into reviewable clinical insights
Our Medical Intelligence Agent - MIA brings longitudinal patient context, evidence-linked medical reasoning, and physician review into one workflow.
01
Connected record
Labs · diagnoses · medications · encounters · notes
- LabseGFR, UACR, HbA1c, KMay 12, 2024
- DiagnosesType 2 diabetes, hypertensionApr 28, 2024
- MedicationsACE inhibitor, metforminMay 10, 2024
- Encounters + notesPCP visit, nephrology, assessment planMay 8, 2024
02
Observed + forecast
eGFR (mL/min/1.73m²)
03
Physician review
- Next-action candidate
- Repeat renal panel
- Assess trend and risk
- Medication candidate
- Review SGLT2 inhibitor eligibility
- Consider per guideline
Trace to source
Programs and institutional support
- In the press
Clinical workflow fit
Before, during, and after physician review
MIA is designed around an existing clinical review step. It prepares the trajectory, keeps the evidence visible, and records the clinician's decision.
- 01
Before review
MIA reconstructs the available longitudinal record, organizes it in clinical order, and prepares the patient trajectory for review.
- 02
During review
The physician sees the prepared findings, biomarker trajectories, missing information, supporting observations, and relevant medical evidence.
- 03
After review
Decisions, corrections, follow-up priorities, and additional clinical context are recorded in a structured format.
Built for outpatient healthcare organisations
Dr.MaxHealth is designed for medical care centres, outpatient clinics, practice groups, primary care networks, and chronic-care programmes.
Outpatient care in detail- 01Reconstruct the trajectory
- Organize available laboratory results, diagnoses, medications, encounters, and notes in clinical order.
- 02Review change with context
- See longitudinal direction, missing-data intervals, and forecast uncertainty against the patient's own recorded history.
- 03Keep findings traceable
- Connect each finding to supporting observations, relevant medical evidence, and the physician's review decision.
Interactive illustrative case
From longitudinal record to one traceable review finding
Explore the synthetic case across its timeline, forecast, clinical signals, evidence sources, and physician-review step.
MIA · patient trajectory
Interactive · Case 04-118
Select a view, then trace the prioritised finding to its source or physician-review step.
HbA1c %
observed 2018–2026 · projected to 2028
- 2019DiagnosisType 2 diabetes
- 2024DiagnosisMicroalbuminuria
- 2025MedicationRamipril increased
- 2022–23Gap11 months without laboratory data
HbA1c %
observed 2018–2026 · projected to 2028
- 2019DiagnosisType 2 diabetes
- 2024DiagnosisMicroalbuminuria
- 2025MedicationRamipril increased
- 2022–23Gap11 months without laboratory data
Illustrative patient data
What is available today
- Available for demonstration
- Longitudinal record reconstruction, trajectory view, evidence and provenance, and the physician-review interface.
- Under evaluation
- Forecasting performance, physician agreement, omissions, calibration, and workflow fit.
- Engagement-specific
- Integrations, deployment, security terms, and permitted data scope.
Scientific foundation
Research behind patient trajectory intelligence
Dr.MaxHealth researches the components of MIA: longitudinal patient modeling, PULSE biomarker forecasting, medical reasoning, evidence grounding, and physician-led evaluation.
Founded by researchers with peer-reviewed work in Nature Microbiology, Cell Reports, PNAS, Viruses, and Talanta.
Explore the ScienceExplore MIA on an illustrative case and your clinical workflow
Review the current product, discuss your data environment, and outline a bounded retrospective evaluation for your organization.
MIA is designed to support qualified healthcare professionals and does not replace clinical judgment.