ClinicMedAssist+-AI medical assistant for clinicians

Example

A GP encounters a 45-year-old patient with persistent fatigue, myalgias, and low-gradeClinicMedAssist+ Overview and Functions fever. Using the assistant, the GP inputs clinical signs and recent lab results. The AI suggests differential diagnoses such as polymyalgia rheumatica, viral infection, and subclinical hypothyroidism, supported by evidence-based algorithms.

Scenario

This function is particularly useful in primary care where symptoms are often nonspecific. It guides physicians through diagnostic pathways based on symptom clusters, clinical signs, and diagnostic test interpretation.

Example

In a diabetic patient with declining eGFR and rising HbA1c, the AI proposes switching from metformin to an SGLT2 inhibitor, highlights nephroprotective benefits, and integrates current KDIGO guidelines into the treatment plan.

Scenario

This functionality helps general practitioners implement guideline-based management for chronic diseases such as diabetes, hypertension, COPD, and heart failure. It considers comorbidities, medication tolerance, and recent updates from clinical literature.

Example

While prescribing clarithromycin to a patient on simvastatin, ClinicMedAssist+ flags a major interaction due to CYP3A4 inhibition, and recommends switching to azithromycin or adjusting the statin regimen.

Scenario

This tool is used during prescription review to identify potential drug-drug and drug-condition interactions, optimize dosages, and ensure the therapeutic regimen aligns with patient-specific parameters such as age, renal function, and comorbidities.