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Running
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): | |
if not categories: | |
return [] | |
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] | |
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}" | |