AI-powered lab and investigations results

The Intellia Electronic Health Record (EHR) platform provides a secure and centralized solution for storing laboratory diagnostic results directly within a patient’s electronic health record.
Doctors can easily upload one or multiple laboratory files to the EHR system, including digital lab reports and scanned paper test results. Once uploaded, the electronic health record uses advanced AI-powered data recognition to automatically parse and structure laboratory data.

Artificial intelligence extracts essential test metadata such as patient identifiers, test dates, and laboratory categories including biochemistry, immunochemistry, and urine analysis.
Parsed laboratory results are clearly visualized inside the electronic health record, improving clinical readability and usability.
Normal values are highlighted in green, elevated results in red, and below-reference values in blue with visual indicators.
Clinicians can add comments directly within the EHR and selectively include only abnormal or clinically significant laboratory findings.
Entire sections of pathological results can be emphasized in the electronic health record to support focused review and multidisciplinary collaboration.

Normal values are highlighted in green, elevated results in red, and below-reference values in blue with visual indicators.
Clinicians can add comments directly within the EHR and selectively include only abnormal or clinically significant laboratory findings.
Entire sections of pathological results can be emphasized in the electronic health record to support focused review and multidisciplinary collaboration.

After AI processing, laboratory data becomes standardized and fully integrated into the electronic health record database.
Based on structured EHR laboratory data, the system automatically generates trend analysis charts across selected time periods.
These visual trends allow physicians to monitor changes in one or multiple laboratory parameters over time within the electronic health record. Trend analysis supports enhanced health assessment, early detection of unfavorable patterns, and data-driven clinical decision-making.

All AI-recognized laboratory results stored in the electronic health record serve as a reliable foundation for medical insights, ongoing health evaluation, and future clinical recommendations.