The manual process of clinical data abstraction from unstructured patient charts to support disease registries, clinical research, and PI/QI initiatives is labor intensive and costs hospitals millions of dollars. The shortage of qualified and trained abstraction resources is adding to the cost and resource pressure of this labor intense process.
Kezava AI assisted clinical data abstraction platform augments your manual data abstraction process using the latest Generative AI technology to speed up the cycle of data collection, improve consistency and quality of data collected and reduce the overall cost of clinical data abstraction.
Reduce manual abstraction effort, resources, and costs by 50%.
AI ensures thorough review of clinical charts, applying inclusion and exclusion criteria consistently for high-quality, reliable questionnaire responses.
Abstract data from hundreds of clinical notes in minutes, reducing the process time from weeks or months to just hours
Rapidly gain insights into both population-specific and cross-population data.
Facilitate large scale PI/QI initiatives with retrospective clinical data from the EMR and patient reported outcomes.
We will work with your clinic staff to baseline your Registry abstraction process. Using Kezava’s configurable user interface, we can also adjust the screen layouts as needed.
we will quickly adapt the solution to model and optimize your Registry abstraction process. We will configure system settings, including data connections, interface preferences, and notification settings, to ensure optimal performance and usability.
we will train your staff in minutes on how to use the intuitive interface from the web to validate the accuracy and completeness of the abstracted data. This might include cross-referencing with other data sources or applying validation rules.
Kezava's AI-assisted registry abstraction platform is purpose-built to grow and update AI models based on user feedback and technological advancements as it learns from its predictive insights.
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