Responsibilities:
Data Acquisition:
- Collect data from multiple healthcare systems, EHRs, clinical systems, and external data sources.
- Ensure seamless and secure data ingestion into the platform.
Data Integration & Quality:
- Combine, clean, and standardize data from various sources.
- Implement data quality checks and validation processes to maintain accuracy and consistency.
Master Data Management:
- Manage patient records, provider information, and core healthcare master data.
- Ensure unified and reliable master data across different applications and workflows.
Data Classification & Governance:
- Tag, categorize, and organize healthcare data based on usage requirements.
- Support data governance initiatives, compliance requirements, and metadata management.
Analytics & AI:
- Support analytics initiatives, including statistical modeling, dashboards, and insights generation.
- Assist in building and deploying AI/ML models using the platform's AI Studio capabilities.
App Development Support:
- Enable the creation of custom healthcare applications using the platform.
- Work with cross-functional teams to design and deliver modular healthcare apps through the App Marketplace.
AI as BI & Automation:
- Utilize AI as an embedded assistant to enhance analysis, reporting, and workflows.
- Support an agent-first approach for automation of routine tasks and decision support.
Use Case Enablement:
- Help healthcare teams build solutions efficiently without starting from scratch.
- Enable end-to-end use cases such as chronic disease tracking, clinical trial acceleration, pharmacy optimization, early disease detection, and regulatory compliance automation.
