Scenarios for Citrus AI in Clinical Practice

Use Case

Allied Health (Speech & Occupational Therapy)

Pre-visit

AI reviews prior assessments and outcome scores.

In-session

Ambient listening records therapy activities, patient engagement, and therapist observations.

Post-session

Structured progress notes and coded reports are automatically generated.

Impact

Allows therapists to focus fully on patient interaction while maintaining detailed and accurate clinical records.

Use Case

Orthopedic Surgeons (Outpatient Clinics)

Pre-visit

AI extracts operative reports, implant details, and recent imaging.

In-visit

Ambient listening captures pain updates and functional outcomes.

Post-visit

Structured notes include medico-legal-ready reports, discharge summaries, and follow-up plans.

Impact

Minimizes dictation fatigue, ensures medico-legal accuracy, and accelerates clinic workflow.

Use Case

General Practitioners (Family Medicine)

Pre-visit

AI summarizes chronic disease history (e.g., diabetes, COPD, depression) and recent labs.

In-visit

Captures complex multimorbidity discussions and lifestyle reviews.

Post-visit

Produces SOAP notes with safety alerts (drug-drug interactions), preventive health reminders (vaccines, screenings), and follow-up recommendations.

Impact

Supports GPs in managing high patient volumes while maintaining thorough, quality documentation.

Use Case

Cardiologists

Pre-visit

EMR analysis highlights trends in ejection fraction, lipid profiles, ECGs, and prior admissions.

In-visit

Ambient listening captures symptom detail (exercise tolerance, chest pain, palpitations), medication adherence, and lifestyle discussions.

Post-visit

Structured notes include guideline-based checklists (e.g., NYHA class, blood pressure goals), ICD coding, and therapy gap alerts.

Impact

Saves time, reduces documentation burden, and ensures standardized, billing-ready cardiovascular care.

Use Case

Physiotherapists

Pre-visit

Citrus AI reviews EMR data including surgery type, injury details, imaging, and previous rehab notes.

In-visit

Ambient listening captures patient-therapist dialogue (pain scores, functional progress, exercise performance).

Post-visit

AI generates structured SOAP notes with progress tracking and coded outcomes for insurer reporting.

Impact

Reduces manual note-taking, improves continuity of care, and strengthens patient adherence to rehab programs.

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VMLP AI Healthcare, a UK based company with a vision and mission to leverage AI's cutting edge technology to improve quality of healthcare.