Attendee Type Determination - Healthcare Recipient
Written by Michelle Henley
Updated at October 24th, 2024
Table of Contents
Use Case:
Life Sciences companies must ensure compliance with regulations governing interactions with healthcare professionals (HCPs) and healthcare organizations (HCOs). For companies that frequently host events or provide meals to HCPs, it is essential to track and report these expenses accurately to avoid regulatory violations.
The Attendee Type Determination - Healthcare Recipient analytic identifies transactions involving HCPs or HCOs by analyzing attendee attributes like type, name, and title, and detecting healthcare-related terms. It specifically flags transactions based on the cost of meals provided to healthcare recipients, helping companies ensure compliance with third-party risk regulations and avoid potential issues.
| Description | Identification of transactions which is or potentially are affiliated with a Healthcare Recipient, identified through the review of firm attendee attributes (attendee type), as well as text review of other attributes fields (attendee name/title/company) for healthcare relevant terms (using a listing of prefixes/suffixes and specialties). |
| Domain(s) | Employee |
| Analysis Type | Flag |
| Focus Area | Third-Party Risk |
| Score Methodology | The transaction value (i.e., cost of the meal) |
Default Scoring Criteria
Importance: 4 (default)
Enabled: True (default)
| Risk Result | Default Value | Notation |
|---|---|---|
| Weak | $20 | Value (USD) |
| Moderate | $40 | |
| Strong | $80 | |
| Auto | Not Set |
Unique Configuration
The following checks are available & configured:
- [X] Attendee Classification (is the attendee classified as a formal HCP/HCO)
- [X] Attendee Title - compared to prefix/suffix and specialties
- [X] Attendee Company - compared to prefix/suffix and specialties
-
[X] Attendee Name - compared to prefix/suffix
Exclusions
- Excludes any transaction for less than $0.01
- Excludes the word “DO” from the prefix/suffix listing. Note: It was found that the "DO" (Doctor of Osteopathic Medicine) resulted in many false positives
-
Attendees where the Attendee Type is listed as:
- [X] Employee
- [ ] Health Care Provider
- [ ] Government Official
- [ ] No Show
- [ ] Guest
- [ ] Other (if configured via Reference Data)