CLINICAL DATA SOLUTIONS
Our advanced tools and technologies convert text buried inside oncology notes, pathology reports, and radiology reports into structured data that can be used for research, analysis, quality metrics reporting and clinical decision support.
Our team of trained abstractors use optical character recognition (OCR), natural language processing (NLP) tools, and automation to structure, clean and standardize data.
We aggregate clinical records and harmonize data from cancer centers, researchers and oncologists.
Our OCR and NLP pipelines structure free text and store all data fields in FHIR compliant data structures using industry standard vocabularies.
Teams of abstractors manually curate data to fill in critical elements and provide quality assurance.
Visualization and analysis tools provide clinical and research insights on phenotypes, therapies and outcomes. Structured and standardized data is also provided back to the institution to support internal precision medicine initiatives.
Integrates structured clinical and molecular data into a consolidated view of patients that streamlines and enhances the tumor board process
Accelerates data aggregation and structuring for research at a low cost by off-loading difficult and time-consuming chart review processes
Utilizes clinical data structuring to power more specific clinical trial mechanisms, increasing institutional trial accrual rates
Visualizes treatment decision patterns and associated outcomes based on defined disease phenotypes
Simplifies data management and reporting to state and national tumor registries
Empowers overall program management for cancer institutes to more easily comply with survivorship guidelines
Provides immediate answers to key analytical questions that can be used to power clinical and research initiatives.
Automates Electronic Medical Record (EMR) and Enterprise Data Warehouses (EDW) clinical record integration with the Tempus database for structuring and analysis