Data to guide action
Healthcare organizations have seen an explosive health data growth rate.
The 1,218 exabytes of data generated in 2018 was forecast to expand faster than data in any other industry — by a predicted 36% compound annual growth rate through 2025.1
For every cancer patient, oncologists aim for a detailed diagnosis and accurate subtype classification from which to decide on the optimal treatment plan. A comprehensive workup launches a workflow for diagnosis and treatment decision-making.
But data accrual doesn’t stop. As treatment proceeds, the clinical workflow continues, accumulating new information.
Data to drive patient-centricity
Healthcare professionals are challenged to stay up to date with information and consider all relevant data for each patient diagnosis and treatment decision. Fortunately, digitalization increases not only the ability to collect, store and manage data, but also to connect individual data points for analysis.
By managing the wealth of data about individuals and their cancers, new tools can help speed time to treatment and improve the quality of patient care. The availability, standardization and integration of data present several opportunities. But success requires a proper and secure data management infrastructure.
Data to define transformation
Clinical decision support software leverages analytics to transform large amounts of data into insights that can improve and personalize patient care, simplifying clinician navigation of the increasing complexity of medical information. It allows clinicians to shift their focus to what matters most — the patient.