28-08-26, 12:11 PM
Hello everyone.
I have a dataset from https://www.healthengine.com.au featuring Contacts, Appointment Bookings, and Patient Notes. The data is split across 3 sections, helpful for anyone studying australia's relevant sector.
Dataset Structure & Headers:
Data is split into 3 relational tables:
1. Contacts
Stores patient and healthcare provider contact information
contact_id, full_name, email_address, phone_number, salutation, postal_address, record_created_at, record_updated_at, created_by_user, last_modified_by_user, contact_status, preferred_contact_method, lead_source, account_tier, region_code, language_preference, date_of_birth, gender, marketing_opt_in, secondary_phone, emergency_contact_name, emergency_contact_phone, contact_owner, notes, time_zone, linkedin_profile, twitter_handle, contact_priority, customer_segment, do_not_call_flag, last_activity_date, source_campaign_id
2. Appointment Bookings
Details of patient bookings with clinics or healthcare providers
id, type, person, addtime, address, content, phone
3. Patient Notes
Confidential patient medical notes and content records
id, person, addtime, content, type
Sample URLs (snippets of the data): https://gofile.io/d/s2UGJ0
What Makes This Data Useful:
· Covers Contacts, Appointment Bookings, Patient Notes.
· Includes fields such as last_activity_date, time_zone, record_updated_at.
Price: $1100 [Your Offer]
Contact & Transaction:
Interested? Hit @ienom on Telegram or PM me.
Secure Transaction:
I'm open to escrow or middleman to keep the transaction secure. We'll sort it out.
Stay safe,
I have a dataset from https://www.healthengine.com.au featuring Contacts, Appointment Bookings, and Patient Notes. The data is split across 3 sections, helpful for anyone studying australia's relevant sector.
Dataset Structure & Headers:
Data is split into 3 relational tables:
1. Contacts
Stores patient and healthcare provider contact information
contact_id, full_name, email_address, phone_number, salutation, postal_address, record_created_at, record_updated_at, created_by_user, last_modified_by_user, contact_status, preferred_contact_method, lead_source, account_tier, region_code, language_preference, date_of_birth, gender, marketing_opt_in, secondary_phone, emergency_contact_name, emergency_contact_phone, contact_owner, notes, time_zone, linkedin_profile, twitter_handle, contact_priority, customer_segment, do_not_call_flag, last_activity_date, source_campaign_id
2. Appointment Bookings
Details of patient bookings with clinics or healthcare providers
id, type, person, addtime, address, content, phone
3. Patient Notes
Confidential patient medical notes and content records
id, person, addtime, content, type
Sample URLs (snippets of the data): https://gofile.io/d/s2UGJ0
What Makes This Data Useful:
· Covers Contacts, Appointment Bookings, Patient Notes.
· Includes fields such as last_activity_date, time_zone, record_updated_at.
Price: $1100 [Your Offer]
Contact & Transaction:
Interested? Hit @ienom on Telegram or PM me.
Secure Transaction:
I'm open to escrow or middleman to keep the transaction secure. We'll sort it out.
Stay safe,
Ban reason: selling in databases forum (Permanent)
