Branded platform for your polyclinic
AI that supports your doctors, not replaces them
Structured symptom intake, automated lab result reading, health-diary trend detection — available to patients through your clinic's branded app and to doctors on top of your existing EHR. EU AI Act-aligned.
Designed for private clinics and specialist practices already using an EHR.
Compliance depends on deployment configuration and organizational policies.
847
Users who used AI assistant
632
User-uploaded lab results structured
312
Appointments assisted by AI
1,204
Health data entries tracked
Recent AI Activity
Symptom question answered
2m ago
Appointment booking assisted
5m ago
Health diary insight generated
12m ago
User question answered
18m ago
Screens are illustrative. Available modules and functionalities depend on platform configuration and contracted scope.
AI for patients
Intelligent support for every patient interaction
The AI assistant guides patients through lab results and health diary insights — available 24/7 through your clinic's branded mobile app. Patients can schedule follow-ups through the app.
Patient guidance
AI supports patient questions and provides contextual health information.
Lab result interpretation
Explains lab values in simple terms with reference range context.
Health diary analysis
Detects trends in blood pressure, blood sugar, weight, and other tracked metrics.
Follow-up scheduling
Patients can schedule follow-ups through the app. AI prepares structured summaries for healthcare professionals.
Automated reminders
Sends medication and appointment reminders through in-app and push notifications.
Available 24/7
Accessible anytime through your clinic's branded patient mobile app.
AI Health Assistant
Online
I uploaded my latest lab results. Can you review them?
I've read your uploaded lab results. Here are the values:
Vitamin D (25-OH): 18 ng/mL — below the laboratory reference range (30–100 ng/mL)
All other values are within the reference range
What does low Vitamin D mean?
What this value means for you is for your clinician to assess. I can help with appointments and reminders.
I recommend discussing this with your doctor at your next visit
A follow-up test in 90 days is recommended - you can schedule through the app
Can I book a follow-up appointment?
I found available slots with Dr. Reed:
Values as they appear in the report. Not a medical opinion.
Pre-Consultation Brief
AI-generated for Dr. Reed
Sarah Mitchell
Next appointment: Today, 10:00 AM
AI Summary
Lab results
Vitamin D at 18 ng/mL (below range). CBC, metabolic panel within range. Previous Vitamin D was 22 ng/mL 6 months ago — declining trend.
Health diary patterns
Blood pressure stable at 125/82. Weight consistent. No concerning trends detected in the last 30 days.
To discuss with the patient
Vitamin D declining over 2 consecutive tests. Clinical follow-up may be appropriate depending on patient context.
Previous visit notes
Last consultation on Jan 15 — routine check-up. No active prescriptions. Patient reported fatigue.
AI for doctors
A complete view of health information at your fingertips
Before every consultation, the AI assistant prepares a comprehensive brief — summarizing lab results, health diary patterns, flagging values outside the reference range, and patient history.
Summary generation for visit prep
AI generates structured pre-consultation briefs from patient data, lab results, and diary entries.
Lab interpretation with historical context
Compares current results against previous tests, identifying trends and declining values.
Reference range indicators
Lab values are automatically compared with standard reference ranges and clearly displayed as within, above, or below range, with historical trend tracking.
Patient history overview
Consolidated view of consultations, prescriptions, and health patterns before each appointment.
AI lab data structuring
From raw PDF to structured overview
When patients upload lab results, AI extracts structured values, compares them against reference ranges, and highlights out-of-range results — an informational overview, not clinical diagnoses.
Patient uploads lab result PDF
Patient uploads their lab result document (PDF or image) through the clinic-branded mobile app.
AI extracts structured lab values
The AI engine parses the document, extracting individual test values, units, and reference ranges into structured format. Personal identifiers are not required for AI processing.
AI compares values to reference ranges
Each extracted value is compared against standard reference ranges and flagged if outside the reference range.
Out-of-range values highlighted
Values outside the reference range are clearly highlighted for the patient to review.
Trends shown from historical data
If previous lab results exist, the AI compares current values with historical data to show trends over time.
Results visible to patient
Structured results are immediately available to the patient through the clinic-branded mobile app.
Patient may choose to consult doctor
Patients can share their AI-structured results with their doctor and request a consultation directly through the platform.
Before — Raw PDF
LABORATORY REPORT
Patient: E. Carter | DOB: 1985-03-14
Vitamin D (25-OH)... 18 ng/mL
TSH.................. 2.1 mIU/L
Glucose (fasting).... 92 mg/dL
Cholesterol, Total... 195 mg/dL
Hemoglobin........... 14.2 g/dL
--- END OF REPORT ---
After — AI-Structured Values
Vitamin D (25-OH)
Ref: 30-100
TSH
Ref: 0.4-4.0
Glucose (fasting)
Ref: 70-100
Cholesterol, Total
Ref: <200
Hemoglobin
Ref: 12.0-17.5
AI Insight: Vitamin D is below the reference range. The system will track this value over time and automatically remind the patient to repeat testing in 90 days. Progress is visible through trend charts inside the app.
Health diary AI insights
Pattern recognition across weeks of patient data
The AI continuously reads blood pressure, blood sugar, weight, and other tracked metrics — displaying trends over time.
Trend detection
Identifies upward or downward trends across weeks of diary entries.
Automated doctor alerts
Notifies the assigned doctor when patterns indicate a potential concern.
Visual pattern analysis
Annotated charts showing data points with AI-generated trend lines and callouts.
122/78 → 135/86
Blood pressure across four weeks of tracking
+13 mmHg
Systolic rise the AI spotted and reported to the doctor
Blood Pressure Trend
Last 4 weeks — Sarah Mitchell
122/78
124/80
126/79
128/82
130/84
132/85
135/86
AI Pattern Alert
Blood pressure trending upward over 3 weeks (122/78 → 135/86). Systolic increase of 13 mmHg. Doctor notification sent.
Blood sugar
Stable
No concerns detected
Weight
Consistent
In range
Safety and accuracy
AI supports clinical workflows — never replaces medical judgment
AI provides informational support and guidance. Clinical decisions remain the responsibility of licensed healthcare professionals.
Doctor consultation available when needed
Patients can share AI insights with their doctor and request a consultation directly through the platform when clinical review is required.
Compliant with EU AI Act provisions
BigDot AI systems are designed in alignment with EU AI Act healthcare provisions for high-risk AI applications in clinical environments.
GDPR-aligned data processing
All patient data processed by AI systems follows GDPR requirements including data minimization, purpose limitation, and encryption.
Transparent AI-supported outputs
AI outputs include structured context and relevant data points, enabling clinicians to review and incorporate insights within their existing clinical workflows.
Important
The AI assistant organizes patient-reported information and laboratory values. It does not provide medical diagnoses or treatment decisions. All clinical decisions are made by licensed healthcare professionals.
Privacy-first architecture
Privacy-first architecture — BigDot follows strict data minimization principles. AI processing uses only structured clinical values and reference ranges. Personal identifiers are not required for AI processing. Patient data is never used to train AI models.
Experience the AI assistant
See how BigDot's integrated AI supports patient engagement, lab analysis, and clinical workflows — through a live platform demonstration.
No commitment required