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| # Define costs for tests in each category | |
| TEST_PRICES = { | |
| "Haematology": { | |
| "Haemoglobin estimation": 50, | |
| "RBC count": 80, | |
| "Platelet count": 60, | |
| "ESR": 40 | |
| }, | |
| "Clinical Pathology": { | |
| "Urine albumin and sugar test": 70, | |
| "Urine microscopy": 50, | |
| "Pap smear": 200 | |
| }, | |
| "Biochemistry": { | |
| "Blood Sugar (Random)": 40, | |
| "Serum Creatinine": 100, | |
| "Total Cholesterol": 150, | |
| "SGPT (ALT)": 120 | |
| }, | |
| "Microbiology": { | |
| "Throat swab for Diphtheria": 150, | |
| "Urine culture and sensitivity": 300, | |
| "Smear examination for Leprosy": 80 | |
| }, | |
| "Specific Diseases": { | |
| "Malaria antigen test": 100, | |
| "Dengue NS1 antigen test": 500, | |
| "Tuberculosis sputum test": 200 | |
| }, | |
| "Serology": { | |
| "Rheumatoid Factor (RF) quantitative": 150, | |
| "Anti-Streptolysin O (ASO) titre": 200 | |
| }, | |
| "Radiology": { | |
| "Chest X-ray": 500, | |
| "ECG": 300 | |
| }, | |
| "Other Diagnostic Tests": { | |
| "Visual Inspection with Acetic Acid (VIA)": 50, | |
| "Water quality testing (for H2S)": 100 | |
| } | |
| } | |
| def get_tests_by_category(categories): | |
| available_tests = [] | |
| for category in categories: | |
| if category in TEST_PRICES: | |
| for test, cost in TEST_PRICES[category].items(): | |
| available_tests.append(f"{test} - ₹{cost}") | |
| return available_tests | |
| def select_tests(patient_id, selected_tests, data): | |
| if patient_id not in data: | |
| return "Invalid Patient ID. Please register the patient first." | |
| total_cost = 0 | |
| tests_selected = [] | |
| for item in selected_tests: | |
| test_name = item.split(" - ")[0] # Extract the test name | |
| for category, tests in TEST_PRICES.items(): | |
| if test_name in tests: | |
| total_cost += tests[test_name] | |
| tests_selected.append(test_name) | |
| data[patient_id]["tests"] = tests_selected | |
| data[patient_id]["total_cost"] = total_cost | |
| return f"Tests Selected: {', '.join(tests_selected)}. Total Cost: ₹{total_cost}" | |