Learn AI the way you learned medicine. One case at a time.

You are a clinical guideline analyst. Using the latest NICE (2023), ESC (2022), ACC/AHA (2022), and WHO (2023) recommendations for heart failure with reduced ejection fraction (HFrEF), produce a complete cross‑guideline reconciliation for the following fictional Indian patient: - Name: Rajesh Kumar, 68 y/o male, weight 78 kg, height 170 cm - Co‑morbidities: Type 2 diabetes (HbA1c 8.2 %), CKD stage 3 (eGFR 45 mL/min/1.73 m²), hypertension (BP 150/90 mmHg), recent decompensated HF admission (NYHA III) - Current meds: Metformin 500 mg BD (ICMR brand Glucophage), Amlodipine 5 mg OD (Amlodip), Enalapril 10 mg BD, Furosemide 40 mg OD, Atenolol 50 mg OD, Rosuvastatin 20 mg OD, Aspirin 75 mg OD. Tasks: 1. Create a table listing each major recommendation (drug class, dose, device, follow‑up) from the four bodies and note where they agree or conflict. 2. For each conflict, explain which patient‑specific factors (eGFR, diabetes, cost, Indian drug availability such as Sacubitril/Valsartan (Entresto) vs. generic) would tip the decision toward one guideline. 3. Provide a concise decision matrix: best‑aligned therapy for Rajesh, with justification and citation of the guideline that drives each choice. 4. Show your reasoning step‑by‑step and cite the exact section/grade of each guideline. Output must be in clear sections, using tables and bullet points where appropriate.

Synthetic case, for demonstration. Copy and run it as-is, or swap in your own de-identified case following your local safety policy.