1.2 Clinical Data Structuring
01

01

We aggregate clinical records and harmonize data from cancer centers, researchers and oncologists.

02

Our OCR and NLP pipelines structure free text and store all data fields in FHIR compliant data structures using industry standard vocabularies.

03

Teams of abstractors manually curate data to fill in critical elements and provide quality assurance.

04

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.

How is the data used?

TUMOR BOARD

Integrates structured clinical and molecular data into a consolidated view of patients that streamlines and enhances the tumor board process

RESEARCH PROJECTS

Accelerates data aggregation and structuring for research at a low cost by off-loading difficult and time-consuming chart review processes

CLINICAL TRIALS MATCHING

Utilizes clinical data structuring to power more specific clinical trial mechanisms, increasing institutional trial accrual rates

CARE PATHWAY ANALYSIS

Visualizes treatment decision patterns and associated outcomes based on defined disease phenotypes

TUMOR REGISTRIES

Simplifies data management and reporting to state and national tumor registries

SURVIVORSHIP PROGRAMS

Empowers overall program management for cancer institutes to more easily comply with survivorship guidelines

IDENTIFY PATIENT POPULATION COHORTS

Provides immediate answers to key analytical questions that can be used to power clinical and research initiatives.

DATA INTEGRATIONS

Automates Electronic Medical Record (EMR) and Enterprise Data Warehouses (EDW) clinical record integration with the Tempus database for structuring and analysis