Many clinical researchers spend too much time reconciling data. Others can’t find a large enough cohort size. To add to the challenge there are no data collection standards across EHR systems, resulting in messy data and missing patient details crucial for research.
That stops now. Leverage Arcadia Research Data to tap into a growing and flexible real-world data (RWD) source so you can spend more time on the work that matters — built by researchers and backed by the power of Arcadia Analytics.Get started
Too many data sources. Non-standardization of data. Lack of interoperability between systems. Half a researcher’s job is finding the right data and then cleaning it up. That leaves little room for actual analysis.
Arcadia Research Data de-duplicates patients globally across systems, normalizes terms to clinical concepts, and brings everything together into a clinically relevant dataset. We partner with you so that you can spend less time cleaning and more time analyzing.
Understand the patient’s journey with RWD derived across all sites of care — validated through provider use for key decisions impacting care. Arcadia Research Data gives you provider validated data for a more complete picture of patients for your clinical research. Connect with us on AWS for a sample dataset.
Spend more time on analysis with datasets aggregated and curated into a unified data model fit for use. With Arcadia Research Data you can focus on the work that matters.
Get visibility across commercial, medicaid, and medicare health plans through multi-payer coverage.
Access data that doesn’t go stale to ensure continued longitudinal health of your research.
Gain a deeper understanding of patients with data from both inpatient and outpatient settings.
Stop chasing data and get back to your research objectives. Arcadia Research Data gives you flexible and analytically rich options to access and use RWD however you want:
Match patients and de-duplicate the same patient across all EHR and claim data sources.
Map terms to clinical concepts normalized across all sources.
Structured transactional data to represent the care experience.
No token is required to use.
Tokenized to any brand of your preference.
Achieve sufficient cohort sizes with data from multiple datasets.
Mine unstructured EHR data for deeper insights.
Standardize data into clinical concepts.
Collect unstructured data relevant to research.
The lack of data quality standards in clinical research creates challenges — this is how Mary Kuchenbrod curates EHR data to create meaningful patient views.
Join us at ISPOR, in-person and virtually. If you’re in Washington, DC, visit us at booth 523. We want to hear your process frustrations, your outcome laments, and the opportunities you’re chasing in HEOR.
Get in touch to add Arcadia Research Data to your research today.