Built for
Industry: Healthcare & Healthtech · AI Diagnostic Platform
AI Diagnostics Your Clinicians Can Trust and Act On
Healthcare teams spend hours chasing results, cross-checking records, and working from incomplete information. Vitals Connect brings AI symptom analysis, imaging, and synchronized patient records into one workspace.
AI SYMPTOM ANALYSIS • X-RAY · CT · MRI · DICOM • OPENEMR TWO-WAY SYNC • HIPAA-COMPLIANT (PHI)
The problem
Clinicians are making decisions on fragmented data with no shared view of the patient.
Industry pain. A doctor reviewing a patient sees symptoms logged in one system, imaging stored somewhere else, and an EMR that does not reflect the latest visit. Gathering that picture takes time the clinic does not have.
Vitals Connect's version. The platform brings symptom analysis, imaging interpretation, and synchronized records into one workspace. Your clinicians act on complete information instead of assembling it.
A diagnostic platform that gives your team the full picture before the decision.
An AI healthcare platform for clinical teams. It analyses patient symptoms with confidence scoring, interprets X-ray, CT, MRI, and DICOM uploads, collects voice input from both doctor and patient, and keeps records synchronized with OpenEMR.
In one screen
Every finding explained, every record current, every call yours.
The platform surfaces the AI's reasoning alongside the result. Your clinician reads the confidence score, reviews the supporting evidence, and decides without leaving the patient record.
AI Analysis
See the AI finding and the reasoning behind it.
The platform scores each diagnosis and shows the supporting evidence. Your clinician reviews the confidence level and approves or rejects the report — the decision stays with the doctor.
Imaging & Intake
Medical imaging reviewed before the clinician signs off.
Upload an X-ray, CT scan, MRI, or DICOM file and the platform interprets it alongside the symptom data. Imaging and analysis arrive together, not in separate systems.
Solutions We Provided
Runs AI symptom analysis with confidence scoring.
Every finding shows the reasoning, not just the result.
Collects patient data by voice.
Multi-voice detection captures both the patient and doctor in one session.
Keeps the clinician in the approval seat.
Every AI report requires a doctor's review before it is finalized.
Logs every action system-wide.
Failed logins, report generation, and approval decisions are all tracked.
Handles PHI to HIPAA standards.
Field-level encryption and sensitive data anonymization applied throughout.
Interprets X-ray, CT, MRI, and DICOM uploads.
Medical imaging reviewed by AI before the clinician signs off.
Syncs two ways with OpenEMR.
Doctors and patients added in Vitals Connect appear in the EMR automatically.
Spending too long chasing records at your clinic?
30 minutes. Bring a patient scenario. Walk out knowing what a synchronized AI diagnostic workspace looks like for your team.
How it works
From intake to approved report in four steps.
Intake
Analyse
Review
Approve
Patient data and documents uploaded · AI scores symptoms and interprets imaging · Clinician reads the finding and reasoning · Doctor approves or rejects; record syncs to EMR
Our partner
AI-powered diagnostics with full clinical oversight. Symptoms, imaging, and records in one platform.
What's inside
A clinical platform built on explainable AI, not a black box.
Your clinicians receive a diagnosis alongside the confidence score and the evidence behind it. They review, edit if needed, and approve or reject — the platform never finalizes a finding without a doctor's sign-off.
Patient data and imaging are handled to HIPAA standards throughout. Records stay synchronized with the clinic's existing EMR, so the same information appears in both systems without manual re-entry.
Figure 1. Three-tier architecture: Next.js portals (Doctor, Admin, Super Admin) call the FastAPI backend, which runs the AI analysis engine and manages two-way OpenEMR sync. MongoDB with CSFLE encrypts PHI at the field level; Microsoft Presidio handles sensitive-data anonymization. AWS Elastic Beanstalk hosting, S3 storage, SQS queue, and SES email.
The results
From fragmented records to one workspace.
Before
Fragmented data, manual calls.
Imaging in one place, symptoms in another, records that lag. Review is manual; decisions run on incomplete data.
AFTER
One workspace, full picture.
Symptoms, imaging, and records in one screen. The clinician reviews the finding and approves — every decision documented.
Diagnostic reach
Symptom analysis with confidence scoring
Imaging
DICOM imaging interpreted automatically
Voice
Patient and doctor, one voice session
Records
OpenEMR, live synced
Oversight
Every finding approved by a clinician
Data
PHI encrypted and anonymized
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Ready to give your clinical team a complete diagnostic picture?
30-min call. We will walk through a patient scenario, your EMR setup, and what a fixed-scope build looks like for your clinic.
Frequently asked
Every result includes a confidence score and the evidence the AI used to reach it. Your clinician sees the reasoning, not just the conclusion, and approves or rejects the report before it is finalized.