CLINICAL SQUARED CASE STUDY: USING AI TO DETECT AND ANALYZE FRAUD, WASTE AND ABUSE IN HEALTHCARE
March 3rd, 2025
Clinical Squared Inc. (C2) has completed the latest phase of its case study incorporating AI into its data visualization and analysis tool called Locus. The case study manages several objectives:
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Train a proprietary AI model on several different publicly available healthcare industry datasets to see if connection points for fraud, waste, and abuse analysis (FWA) could be derived quickly, accurately, and cost-effectively.
- Create a tool that performs searches and connections by allowing the user to ask conversational questions about the data it’s trained on.
- Minimize the possibility for AI “hallucinations”, that is, answers from an AI algorithm that are sometimes wildly inaccurate or contextually irrelevant due to the data it is trained on.
Locus was fed clinical trials data from NIH, public data from the Centers for Medicare Medicaid Services’ (CMS) Open Payments program, and data from several other carefully cultivated public sources to create LOOP (Locus On Open Payments), a groundbreaking solution showing connections between teaching hospitals, medical device, and drug manufacturers, and the physicians they have a financial relationship with.
The LOOP tool’s AI-powered search preprocessor and enhanced retrieval augmented generation (RAG) functionality coupled with its dynamic visualization capabilities show promise in making research on healthcare companies, drug and device manufacturers, services, and providers highly trustworthy, cost-effective, and intuitive for researchers of varying skill levels, from seasoned analysts to laypersons.
Marquis Allen, CEO, of Clinical Squared said this about the advancement: “Training Locus on Open Payments, Clinical Trials, Physician Identity, and other data showed us that the next frontier in healthcare compliance isn’t just about more data—it’s about connecting the data we already have in more intelligent ways through purpose-built technology. We look forward to expanding our case study to include data from more federal agencies including FDA, CDC, HHS, and others.”
The C2 Team is eager to share its findings and can provide limited demos of its technology to interested parties by appointment. Please e-mail info@clinicalsquared.com to connect with the team and schedule a demonstration.