1. Interactive RWD Dashboard
Real-world data subscription
An interactive, aggregated view of Omico’s precision oncology database, enabling high-level analysis of patient populations by cancer type or genomic biomarker.
The interactive dashboard allows users to explore key variables including mutations, co-mutations, demographics, treatments and outcomes, supporting early landscape assessment and hypothesis generation. 20,000+ patients and growing.
- Understand distribution of primary sites, mutations and co-mutations
- Profile patient demographics within biomarker-defined cohorts
- Explore real-world treatment patterns and common interventions
- Review outcomes across tumour types and genomic subgroups
- Inform early clinical trial thinking and protocol development
- Identify areas for deeper investigation
2. Custom Data Analytics
Targeted, decision-ready insights
A consultative analytics partnership delivering tailored, decision-ready insights from Omico’s real-world data.
Each engagement is co-defined through a structured process, ensuring analyses are aligned to specific strategic questions.
Outputs are grounded in robust methodology, scientific independence and governed use of de-identified patient-level data.
- Align pipeline, study design and indication prioritisation with real-world treatment patterns and populations with the greatest unmet need
- Rapidly answer high-priority strategic questions, assess feasibility for future studies, and focus formal evidence generation on areas of greatest impact
- Inform value strategy, economic assumptions and access planning based on observed patient pathways rather than theoretical models
- Understand lines of treatment and interventions for a defined patient cohort
3. Patient Journey Mapping
End-to-end patient pathway insights
A clinically contextualised, data-driven view of how patients move through diagnosis, testing, treatment and access within the Australian healthcare system.
By integrating clinico-genomic, geographic, treatment, access and patient-reported data, this offering maps real-world patient pathways across public and private settings over time.
- Assess data fitness, define meaningful endpoints and prioritise future local evidence generation based on real patient flow
- Navigate Australia’s reimbursement environment and identify where delays, restrictions or system complexity impact time to treatment
- Understand how care pathways, funding mechanisms and treatment sequencing operate in practice, and how they influence resource use, outcomes and value in the Australian system
- Align global strategy with local clinical reality
4. RWE Generation Projects
Protocol-driven real-world evidence studies
Collaborate with Omico’s CSO, RWD experts and bioinformaticians to develop protocol-led real-world evidence studies, such as natural history or concurrent cohort designs for Phase II/III programs.
We work with you from research question through to final outputs—co-developing study concepts, designing observational protocols, applying robust statistical methodology, and generating publication- and HTA-ready evidence from de-identified patient data under transparent governance and scientific independence.
- Design and execute fit-for-purpose studies that align with global evidence plans and meet regulatory and scientific standards
- Understand outcomes in defined cohorts across different treatments and genomic profiles
- Answer clinically meaningful questions and generate high-quality publications that inform practice and guideline discussions
- Address payer and HTA evidence requirements with methodologically robust real-world studies
5. External Control Arm Solutions
Advanced comparative real-world analytics
A methodology-led solution developed by Omico for constructing external control arms using clinically and temporally relevant real-world data.
It enables rapid 1:1 case-to-control matching within a governed, curated, de-identified dataset, incorporating covariate weighting and iterative cohort sampling.
Users can refine matching variables and similarity thresholds to explore how different clinical scenarios influence comparative results—generating transparent, hypothesis-shaping insights for study planning, evidence strategy and reimbursement decisions.
- Evaluate treatment effect in single-arm trials
- Analyse time-to-event outcomes, including overall survival
- Generate supportive evidence to complement randomised controlled trials
- Provide comparative data to inform pipeline development, and asset evaluation or acquisition
- Support regulatory, reimbursement and market access decision-making
6. Direct Data Access
Secure row-level data access
Secure access to de-identified, row-level patient data for advanced and bespoke analysis.
Access requests are reviewed by Omico’s Access Committee, with Human Research Ethics Committee (HREC) approval required prior to access via a secure environment or controlled data transfer.
- Execute bespoke statistical methodologies or integrate the dataset into a global evidence framework
- Perform detailed cohort construction, endpoint derivation or exploratory analyses for highly specific development questions
- Run internally developed models or advanced analyses requiring patient-level data that cannot be executed in aggregated outputs