VITAL NLP is a powerful, cutting-edge platform that facilitates EHR (Electronic Health Records) searching, cohort discovery, and chart review. Even today, over 80 percent of the information in EHR systems is contained in free-text documents. Our state-of-the-art natural language processing (NLP) technology provides physicians, researchers, and other users a quick and easy way to rapidly search for and extract information from these millions of unstructured documents. VITAL NLP can precisely match search criteria even if search terms are not contained in structured data fields and represent the results using standard clinical vocabulary. In addition, our advanced information retrieval and information extraction technologies provide a user-friendly platform for identifying patient cohorts matching specific phenotypes of interest.
The platform is ideal for chart review, disease registries, healthcare quality reporting, billing tasks, and a wide array of other uses. VITAL NLP significantly improves the efficiency of manual chart review for both operational and research tasks. Features of the platform include:
Dashboard Overview of Clinical Documents
The dashboard in VITAL NLP gives users a statistical summary of the distribution of clinical notes and information extracted by NLP. For example, the Note dashboard displays the Patient Distribution By Age, Note Distribution By Author, Patient Distribution By Year, and Note Distribution By Year. This makes it easy to analyze data and quickly identify trends and patterns.
Quick and Advanced Searches
VITAL NLP provides both Quick and Advanced Search functions.
Quick Search allows users to type in the text they are looking for, and the system will provide a list of relevant clinical concepts in a drop-down box. In addition, users can select the desired concepts and add synonyms to the query for even more accurate results.
Advanced Search offers more advanced features, such as adding filters, organizing queries into groups, and setting logical relationships between items. Users can add keywords, concepts and configure parameters such as case sensitivity, stemming, and confidence levels.
A Record of Your Searches
Searches can easily be repeated in VITAL NLP. A drop-down box lists the 20 most recent Quick and Advanced Searches, making it easy to repeat previous searches. Results can then be easily refined and extended as needed.
A Comprehensive, Interactive, & Longitudinal View of the Results
VITAL NLP search results are presented in a longitudinal fashion allowing the user to trace relevant notes along the patient timeline. Each result consists of the number of documents that match the query and the number of documents for the current patient. Users can click on and review notes of any type from any point in the patient timeline. Results also include important information such as patient ID, patient name, patient gender, date of birth, and overall document totals by type.
Saving Cohorts for Future Use
VITAL NLP makes it easy to save patient cohorts for future use with The Save Cohort List function. The saved cohort can be found on the Cohort page, which lists all the available cohorts, their basic information, and the number of patients in each cohort. Administrators can view the cohorts for all users, while other users can only see their cohorts.
In conclusion, VITAL NLP is a powerful platform that offers a range of advanced features and functions to revolutionize how clinical documents are searched, making it a game-changer in the healthcare industry. Its user-friendly dashboard and search methods, including Quick and Advanced Searches, enable users to efficiently identify patient cohorts of interest, making it ideal for chart review, disease registries, healthcare quality reporting, billing tasks, and a wide array of other uses. VITAL NLP provides a comprehensive view of data, making it easy for users to analyze trends and patterns quickly. It significantly improves the efficiency of manual chart review, making it a valuable tool for both operational and research tasks in the healthcare industry.