
Ariana -Real World Data & Evidence (RWD/RWE) Platform
FromAriana Pharma
Ariana® has consolidated multiple, publicly available administrative healthcare admissions databases into a locally searchable observational health data resource of patient hospitalization, outpatient and other episodes, comprising in excess of 6B records.
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This extensive Real World Data & Evidence (RWD/RWE) capability underpins Ariana business services across:
- Precision medicine clinical development (for example, design of data-rich clinical protocols with synthetic control arms).
- Global health impact evidence generation (for example, epidemiological studies of specific diseases or industrial / environmental activities).
- High quality curated electronic health records (EHR) data collected during routine clinical care of patients have the potential to accelerate drug development
- In areas of high unmet need, real world controls could help provide external control for regulatory decision-making
- Requires advanced analytical techniques to address limitations pertaining to RW data (propensity scores)
- Real world patients » may be different to patients enrolled in clinical trials (with comorbidities, etc.) and use of RW data may provide a more accurate picture of the impact of a novel therapy

Ariana has implemented a sophisticated and customizable cloud analytics and reporting platform for evidence generation across these Real World databases:
- “Big Data” epidemiological studies of medico-economic impact of specific diseases or industrial / environmental activities
- Flexible analysis plan execution (including data exploration, data mining and multivariate analysis) over a wide range of spatial and temporal resolutions
- Platform is built using a combination of industry-standard (open) workflow, database, statistical and geo-mapping components, and proprietary data mining algorithms developed by Ariana. Publication track record in peer-reviewed manuscripts:
- Infectious disease epidemiology for quantification of disease burden, and comorbidity risk factors.