Global Healthcare Research has a dedicate team of panel experts, uses proven community engagement and retention practices to recruit and retain active healthcare professionals around the world. They work diligently to monitor participation rates, fill quotas and to ensure the right respondents are matched to the right types of research.
Global Healthcare Research adheres to all healthcare industry compliance standards throughout panel recruitment, validation, privacy and security, engagement, and panel management. Our multi-verification process requires that healthcare professionals interested in becoming new panel members are thoroughly validated through continuous profile updates and double opt-in registration. All healthcare professionals enrolled in our panels are also verified by the specialty, location, their National Provider Identifier (NPI), a unique identification number for covered health care providers in the US, the HCPC number in the UK and their HOSP number in the European Union countries.
Data deduplication techniques in place
On-demand: Using this data deduplication method, Global Healthcare Research runs a data tool to find and merge any data duplications.
Automated: With an automated deduplication process, Global Healthcare Research takes their trusted deduplication scenarios and sets them to run at their desired and most convenient times, usually in every panel data update.
Preventative: With this type of data dedupe, Global Healthcare Research has a duplicate blocker in place that manages data as it comes in from end-user entry, web forms, storage system integrations, and list imports. It acts as a kind of filter that only lets unique records through, preventing data duplication from always happening.
A well-rounded deduplication approach is in place and includes all three techniques to ensure duplicates are identified and remediated as soon as possible.
For duplicate prevention, a duplicate key is assigned for each record. Each duplicate key is created based on the preset fields and matching algorithms used to identify matching records. Then, when another record is entered (or edited) with a matching key, the dupe is identified and is either blocked from entering the database, automatically merged with the existing record, or is sent to the system administrator with a warning to review.
On-demand deduplication also uses a set of fields and matching algorithms to determine if data records are unique or duplicates, but only when initiated by the end user. With this data deduplication method, the duplicate key is not stored on the record. When initiated, on-demand deduplication scans the existing records in your databases and presents the user with a list of identified duplicates to merge. This is an extremely helpful technique for consistent data quality maintenance.
Automatic deduplication occurs when the fields and matching algorithms used in your on-demand deduplication are saved and set to run on a schedule. Duplicate prevention is also a way of automating your deduplication strategy, but having both in place will keep you ahead of the duplicates that will inevitably try to make their way into your database. Match parameters are shared between our duplicate prevention techniques and on-demand approach, making the setup of both much easier.
It’s important to note that no data is deleted until pertinent information from the losing record has been moved onto the record that stays in our database, preventing data loss.
Unsubscribe Process in place
Last updated December 21, 2023
For every new study launched, an email’s footer always displays an Unsubscribe link / button. When a panel member unsubscribes from a new campaign, their name and email address are automatically removed from all our mailing lists and our healthcare provider panels.
How recipients unsubscribe from our campaigns:
All panel members can easily unsubscribe from receiving our campaigns and communications by clicking the Unsubscribe link / button at the bottom of any our campaigns.
After a panel member clicks the Unsubscribe link / button, a following message appears:
We’re sorry to see you go!
If you no longer wish to receive information from us about opportunities to be involved in healthcare research projects aimed at those working in Medical and Health Professional roles, please enter your email address in the box below. If you still receive emails from us after this point, it may be that you are subscribed to another one of our research lists. If this is the case, please contact [email protected]. Please complete the form below.
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