Verified LTFU Results

Within the clinical study service arena, ASG presents a unique offering that is specifically designed to maximize the odds of verified LTFU results and locate the greatest possible number of patients and provide you with accurate, verified information. Far too many of the existing “solutions” end up providing incomplete or inaccurate information, which wastes more of your time and money in additional work and follow up. Often times the “solution” returns a large number of patients that they cannot locate or are “found” but the information is outdated.

Our processes go far beyond using simple databases. We have a team of investigative subject matter experts who can cross support one another. Each of the experts work in one channel of the locate process (i.e. internet profiling and social media monitoring, public record research, etc) and are constantly searching each newly developed piece of information through the other channels. This specialization and expertise working together, like a symphony, allows us to locate more patients and faster. Of course, it also helps to verify that we have located the correct person and eliminates false findings.

False Findings

Existing solutions available to CROs, educational institutions or even the general public or through other locate services are heavily dependent on low level database results run by software applications, which cannot provide verified LTFU results. While they are able to process large quantities of data at once, they make no differentiation between people of the same name and or personal information, which often provides false hits, especially when dealing with a subject with a common surname. Additionally, these databases are normally built upon outdated data and are but one angle of investigation. These services provide no verification or secondary validation of the output information.

An example of this would be if a subject’s name is John Smith who was last known to live in Seattle, WA. Even with a full date of birth, these databases will pull together hundreds of people with the name “John Smith” within a certain age range (usually by year of birth). This doesn’t even account for what is referred to as “data bleed”,where software-based data solutions begin to make false associations between two or more unrelated pieces of personal information, essentially creating false aliases for people. This usually occurs with people of the most common familial names or those individuals who move frequently.

Additionally, these searches cannot take into account if a subject has moved from the original city of origin. If that same John Smith moved to Las Vegas, the search parameter of “John Smith” + “Date of Birth” + “Seattle, WA” will only conclude with the last addresses available for John in Seattle. The end result may end up being; 1.) Information on the wrong John Smith 2.) The same outdated contact information you already had, or 3.) The last address John had in Seattle, not his current address in Las Vegas. None of these possibilities end with you being able to make positive contact with John Smith.