What are three main features of Citrus AI?

Scenarios for Citrus AI in Clinical Practice

Scenarios for Citrus AI in Clinical Practice

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.

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.

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.

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..

Physiotherapists

Pre-visit: Citrus AI reviews EMR data including surgery type, injury details, imaging, and previous rehab notes.
In-session: Ambient listening captures patient–therapist dialogue (pain scores, functional progress, exercise performance).
Post-session: 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.

Scenarios for Citrus AI in Clinical Practice

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.

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.

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.

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..

Physiotherapists

Pre-visit: Citrus AI reviews EMR data including surgery type, injury details, imaging, and previous rehab notes.
In-session: Ambient listening captures patient–therapist dialogue (pain scores, functional progress, exercise performance).
Post-session: 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.

Scenarios for Citrus AI in Clinical Practice

Scenarios for Citrus AI in Clinical Practice