This month we continue our popular Fraud & Sloppiness Detection series with Part 2. Duplicate or ‘professional’ patients for example, is something we all have on our plate. However, it may be even more important to search for duplicate records, i.e. records that either just have been copied or duplicated since no data had been obtained. Centralized Statistical Monitoring (CSM) can drill down to ‘duplicates’ even on a record level within a patient or record level across patients. Learn all about what CSM can do for you with, among others, the use of digit preference algorithms.
Learn how intelligent, risk-based methods and technology can detect instances of data fraud as well as other data problems at an early, treatable time point, and…..help you stay out of prison.
We will highlight and illustrate with real-life examples how to detect and prevent fraud and sloppiness by adopting a risk-based approach.
Spare yourself a fall-from-grace by so called ‘data detectives’. Implement RBQM, better sooner than later, and detect problems prior to publication. You might also like: How can RBQM spare organizations the trouble of retracting papers?