Atlas
AI-assisted data abstraction for clinical registries
Using the power of artificial intelligence (AI), Atlas frees up your staff from the tedious, manual labor of getting the data out of medical records and into clinical registries. Access the deep reaches of your data that are missed due to resource limitations, providing more accurate clinical registry completion, increased data availability, and the opportunity to drive greater value from those data.
Want to learn more about our AI-assisted data abstraction for clinical registries?
How it works
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Compile and analyze reliable data from multiple data sources in a fraction of the time.
Implementing quality initiatives shouldn’t drain resources needed to meet your primary mission of high-quality patient care. Atlas allows you to easily take advantage of the rich sources of data that exist in your organization — quickly and accurately.
Have greater confidence in your data
The AI engine can power through the many sources of patient data to find all mentions of the information needed for a registry field. It presents the recommendations using what we call a “glass box” process that allows your abstractors to trace each recommendation back to the source and view it in context. Then, they can understand and verify the recommendations, providing greater trust in the information, reducing errors caused by a lack of insight into the data, and enhancing consistency between abstractors.
Even better — using machine learning, the process becomes smarter over time, further enhancing the accuracy of the recommendations.
Increase accuracy
Improve data entry
Automate and simplify data collection
Reduce the audit burden
Do more with your data
Because our AI technology can parse through both structured data (e.g., ICD-10 codes) and unstructured data (e.g., physician notes, lab reports, imaging results), you gain access to all your data. By converting and organizing the unstructured data to structured, trusted data, you can connect and populate that information across all your organization’s systems and reporting tools.
Previously inaccessible data are now available for greater insights into the quality of patient care and operational efficiency as well as for real-world research.
Gain insight faster
Faster, more efficient data abstraction also means faster access to insights. And with easy integration into existing data environments such as data warehouses and connectors to Tableau, PowerBI, and other commonly used business analytics tools, you can instantly start using your data for evidence-based decisions about improving patient care and operational efficiencies.
Improve quality initiatives and patient care
Drive clinical insights through faster, reliable data collection
Improve the feedback loop by removing the time lag between provision of care and reporting
Implement a more robust quality improvement framework
Make better use of your
human resources.
Shift the focus of your clinicians and nurses away from tedious, manual chart review and form completion and use their training and qualifications to perform the final review of the AI-assisted form completion. This not only uses fewer human resources for registry completion but also allows staff to focus on what they do best — care for patients — and improves staff job satisfaction.
Connect ALL of your patient information, both structured and unstructured, from multiple sources for qualified data that you can start using immediately to improve clinical registry completion as well as patient care.
The following list contains examples of registries that are currently supported. Our team can add new registries upon request.
CathPCI Registry®
IMPACT Registry®
STS/ACC TVT Registry™
LAAO Registry™
AFib Ablation Registry™
Chest Pain – MI Registry™
EP Device Implant Registry™
PVI Registry™
PC4 v3 (Cardiac Networks United)
PAC3 v1 (Cardiac Networks United)
