Raman Baghel

Master Thesis - Clustering Patient Data Using Network Embeddings

Extracted and analysed large-scale healthcare datasets containing over 2 million patient records to uncover trends and support data-driven decision-making for U.S. insurance providers. Validated, cleaned, and integrated complex EHR data variables, including ICD-9/10 codes and historical records, by combining multiple data streams to evaluate eligibility with 99.8% accuracy.

Claims Assessor. Direct Handling Prescriptions from different countries need to be assessed by adding numerous data in the software like Diagnosis code (ICD9), Medical Benefits, Pre-authorization, Patient history, Patient information, Evaluate claim risk, explanation of benefits (EOB) is sent out to the member.

Refinement and redaction (Blackout) of the clinical data after reading the periodic safety update report (PSUR, PBRER) and Clinical ADR report