Meet Ella, your new Gen AI assistant, made for asking questions in plain language and getting answers fast. Built into the backbone of IHD, it transforms how life sciences teams build cohorts, generate insights, and make decisions—no filters, no coding, just clarity.
From feasibility to treatment patterns, building cohorts and uncovering insights from real-world data remains manual, complex, and dependent on specialized teams.
Valuable real-world data remains underutilized—slowing time to action and impact. The data is available, but not accessible – its full potential untapped.
Ella helps teams tap into this data to generate and define cohorts, build studies, and create analytic-ready outputs using natural language. No SQL, no guesswork, no technical expertise needed.
AI makes generating real-world insights easy. Just ask Ella.
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How will Ella empower you?
Let Ella guide you through selecting clinical criteria, inclusion and exclusion logic, and demographic filters with simple, conversational prompts. No SQL, coding, or complex setup.
Ella reviews your business question and recommends a shortlist of relevant datasets, drawing from your own sources or NorstellaLinQ’s 74B+ linked, tokenized data points.
Receive recommendations for diagnosis codes, medications, procedures, or labs that align with your study concept – no manual code list building needed.
Ella automatically generates a full IHD project with an analytic-ready dataset, embedded documentation, audit trails, and logic. Outputs are aligned with peer-review and publication needs.
Explore and share auto-generated outputs like dashboards, heatmaps, demographic summaries, treatment insights, and resource utilization metrics to support confident decision-making.
Whether you’re running a feasibility assessment or a full treatment utilization study, Ella helps you move from concept to insight quickly and confidently.
HEOR and RWE Teams
- Build cohorts and conduct descriptive analyses for HTAs, value dossiers, and peer-reviewed publications.
- Run treatment utilization, healthcare resource use, and unmet need studies using expert-informed, built-in templates.
- Accelerate evidence generation while maintaining transparency and scientific rigor.
Commercial and Market Access Teams
- Size addressable markets and patient populations.
- Analyze treatment patterns, switching behavior, and gaps in care.
- Test real-world eligibility logic to inform pricing, access, and contracting strategies.
Medical Affairs and Epidemiologists
- Identify and explore comorbidities and therapeutic journeys directly from real-world data.
- Validate inclusion and exclusion logic quickly and with confidence.
- Support scientific strategy and stakeholder communication with traceable, data-driven insights.





