Healthcare Data Management - Patient Data Auditing

Notes:

• What problem does it solve?: It audits patient data to ensure that it’s accurate, complete, and complies with regulations.

• How can businesses or users benefit from customizing the code?: Healthcare organizations can customize the code to fit their auditing policies and compliance requirements.

• How can businesses or users adopt the solution further, if needed?: The solution can be enhanced to automatically flag discrepancies and notify relevant personnel.

Python Code:

import pandas as pd

# Sample patient data

data = pd.DataFrame({

    'Patient_ID': [101, 102, 103, 104],

    'Name': ['John Doe', 'Jane Smith', 'Tom Brown', 'Lisa White'],

    'Age': [30, 45, 50, 39],

    'Condition': ['Diabetes', 'Hypertension', 'Asthma', 'Cancer']

})

# Check for missing values

def audit_data(df):

    missing_data = df.isnull().sum()

    print("Missing Data:\n", missing_data)

audit_data(data)