Healthcare
Healthcare Solutions
The healthcare technology eco-system comprises data from multiple sources, including consumers (individuals & companies), Electronic Medical Records (EMRs), clinics, claims processing teams, insurance systems, call centers, financial systems, and pharmacies.
Now, there is data coming from wearable devices as well, an area that is exploding in terms of the number of users and the volume of data generated.
These sources generate a vast volume of diverse yet interrelated data. This data can provide tremendous analytical insight and operational efficiency when systematically homogenized and integrated. The challenges come from various systems, legacy platforms, and independent data suppliers. The additional complexity of adhering to regulatory compliance, different industry standards, and privacy laws, such as Health Insurance Portability and Accountability Act (HIPAA), Sarbanes–Oxley Act (SOX), and International Classification of Diseases (ICD).
Hoonartek’s healthcare business intelligence solutions help organizations overcome these complications, using our expertise in data integration, traditional data warehouses, and Big data platforms.
Our consultants have empowered clients to implement healthcare business intelligence solutions in areas such as:
Fraud & abuse management systems cover both healthcare providers and pharmacies
Medical cost informatics to understand and analyze costs
Legacy modernization for core operational systems in claims and benefits management using insurance Key Performance Indicator (KPI)
Integration between the front-end sales channel and back-end warehouse for cross-selling
Statement generations and lifetime accumulators
Code conversion, mapping, and upgrades between different systems.
Data & AI/ML
Hoonartek has designed, built, and deployed numerous data-centric applications for Healthcare providers, including cloud data platforms, extensive data integrations, legacy modernization, custom frameworks, metadata management, master data management, and enterprise data hubs.
- Implementation of data lakes for holistic customer data to identify and assist in underwriting, defining new products, and risk management
- Enterprise metadata governance and stewardship for understanding legacy integration
- Data archival and records retention
- GL reconciliation of finance and operational data