Patient at Home
AI-powered SPECIALTY HISTORY TAKER (Virtual Jennifer)
What it is:
An intelligent, multilingual chatbot that takes patient history specific to the medical specialty.
Why it matters:
Specialist doctors require targeted histories. Virtual Jennifer ensures precision across multiple specialties.
Key Features:
Specialty-based questioning logic (orthopedics, cardiology, neurology, etc.).
High degree of accuracy, 97% plus in audited testing.
Multilingual support: English, Arabic, Turkish, Hindi, Urdu.
Patient-friendly guided interaction.
Data export to electronic medical records.
Impact:
Improves pre-consultation efficiency, ensures complete histories, and enhances patient engagement across languages.
Patient in Clinic Waiting Area
AI empowered MEDICAL RECORD ANALYZER (Citrus AI)
What it is:
An AI-powered tool that instantly reviews and interprets electronic medical records (EMRs), helping clinicians, lawyers, and insurers save hours of manual work.
Why it matters:
Healthcare professionals spend excessive time searching for relevant info through long, unstructured patient records.Our analyzer extracts key data, highlights crucial findings, and presents them in an organized, evidence-based format.
Key Features:
Talk to the Medical Records asking for Trends or Key Values.
Automated extraction of diagnoses, medications, investigations, and procedures.
AI-driven summarization for rapid case review.
Risk flagging for comorbidities and complications.
Exportable structured reports for medical, legal, and insurance use.
Impact:
Improves efficiency, reduces human error, and accelerates decision-making in clinical and medico-legal workflows.
Patient in Clinic Room
AI-powered MEDICAL TRANSCRIBER (Citrus AI)
What it is:
An AI-empowered transcription tool that listens, understands, and converts medical conversations into accurate structured notes.
Why it matters:
Doctors often lose valuable time typing notes. This tool frees them from clerical work, allowing focus on patient care.
Key Features:
Real-time transcription of doctor–patient consultations.
Clinician’s validation of the editable consultation summaries before signing off.
Multilingual support with medical terminology recognition.
Automatic structuring into SOAP/clinical note formats.
Option of Customized Templates for Consultation Summaries available.
HIPAA/GDPR-compliant with secure storage.
Impact:
Cuts documentation time by up to 70%, reduces burnout, and improves patient record quality.
Patient Calling Clinic After Consultation
AI-powered POST CONSULTATION ENQUIRY (Virtual Jennifer)
Virtual Jennifer not only reminds of the appointment, but also takes Patient's history before the appointment and updates it to the Doctor/Hospital's EMR.
Pre-consultation Patient History helps to complete useful History Charts for EMR.
Clinician will have more time during consultation to narrow down the Differential Diagnosis.
Doctor-Patient gradient is not in the way of History Taking.
Clinician has time to prepare the Consultation Flow based on upfront Information.
Increased Patient Involvement and Coordination, reducing the rate of “Missed Appointments”.






