Adding Patients in Bulk
How to Import Patients in Bulk?
Step 1:
Accessing the Login Page Open your browser and navigate to the AppzHealth website: www.appzhealth.com.
Step 2:
Logging In with Credentials Enter your email address and password in the respective fields.
Click on the "Login" button to access your account.
Step 3:
Alternative Login Methods (Google, Facebook, LinkedIn) You can also log in using Google, Facebook, or LinkedIn.
Click on the respective buttons for Google, Facebook, or LinkedIn on the login screen and follow the on-screen instructions to log in using your social media credentials.
Step 4:
Accessing the Import Patients Tab
In the Patient tab, there is a sub-tab named "Import Patients".
Click on this tab to open the patient import screen.
Step 5:
Uploading a CSV File
In the Import Patients screen, you'll find the "Upload CSV" button in the middle of the screen.Click on this button to upload a CSV file containing the list of patients you want to import in bulk.
Step 6:
Downloading the CSV Template
If you need a template to correctly format your data, click on the "Download CSV Template" button located in the top right corner of the screen.
This will download a sample CSV file that you can use to prepare your patient data for import.
✅ Using above steps you can easily add in patients in bulk using a CSV file.
Step 4:
Accessing the Import Patients Tab
In the Patient tab, there is a sub-tab named "Import Patients".
Click on this tab to open the patient import screen.
Step 5:
Uploading a CSV File
In the Import Patients screen, you'll find the "Upload CSV" button in the middle of the screen.
Click on this button to upload a CSV file containing the list of patients you want to import in bulk.
Step 6:
Downloading the CSV Template
If you need a template to correctly format your data, click on the "Download CSV Template" button located in the top right corner of the screen.
This will download a sample CSV file that you can use to prepare your patient data for import.
✅ Using above steps you can easily add in patients in bulk using a CSV file.
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