Seamless Integration with Downstream Systems
Element / Data Governance – Seamless Integration with Downstream Systems Seamless Integration with Downstream Systems Problem : Once data was mastered, ensuring that downstream systems could access and utilize this information without inconsistency became a critical challenge. Solution : Leveraged Reltio Integration Hub (RIH) to synchronize mastered data across systems and maintain a consistent data […]
Mastering Healthcare Data with Reltio MDM
Element / Data Governance – Mastering Healthcare Data with Reltio MDM Mastering Healthcare Data with Reltio MDM Problem : JNJ MedTech faced fragmented and inconsistent data on healthcare professionals (HCPs) and healthcare organizations (HCOs) across multiple sources, undermining trust and usability across business units. Solution : Implemented Reltio’s Master Data Management (MDM) solution to ingest, […]
EMS Shipment Reconciliation with REMS Compliance
Element / Healthcare – EMS Shipment Reconciliation with REMS Compliance EMS Shipment Reconciliation with REMS Compliance Problem : CuraScript shipments to inpatient pharmacies had to be manually reconciled with REMS-certified pharmacy lists due to inconsistent naming and address formats between data sources-causing compliance risk. Solution : A Shiny tool powered by fuzzy matching and GenAI […]
Email Reconciliation Automation for Contact Center
Element / Healthcare – Email Reconciliation Automation for Contact Center Email Reconciliation Automation for Contact Center Problem : Reconciling inbound emails from multiple sources (website, direct mailbox, fax) with cases in the iConnect system was done manually-taking 1–2 hours per day and risking oversight in case mapping. Solution : An interactive Shiny tool was developed […]
FMV Automation for JSA Fee-For-Service Contracts
Element / Healthcare – FMV Automation for JSA Fee-For-Service Contracts FMV Automation for JSA Fee-For-Service Contracts Problem : Assessing Fair Market Value (FMV) for JSA (Joint Service Agreements) FFS arrangements with healthcare entities involved a time-consuming, manual review of historical contracts, tables, and budgets-leading to inconsistencies and delays. Solution : Using Python and AutoGen’s multi-agent […]