D I S S E C T I N G B U S I N E S S
as well as unstructured data including medical imaging , variants from clinical sequencing , pathology data or other lab results . An example of this type of data is Picture Archiving and Communication systems ( PACs ), which manage the workflow of images produced by imaging modalities ( CT scanners , MRI scanners , X-rays ). PACs are used by radiologists to deliver a patient diagnosis by examining and analysing these images .
They can deliver between 8,000 and 12,000 diagnoses per year and to complete this , radiologists must have continuous access to imaging studies . Historically , when medical data is stored in separate silos this
INVESTING IN A MODERN DATA STRATEGY IS ONE WAY FOR HEALTHCARE PROFESSIONALS TO IMPROVE PATIENT OUTCOMES AND TREATMENT . has not been possible which leads to a delay in treatment .
In a hospital , modern storage is essential to enable specialists to be more productive . It needs to deliver multi-dimensional performance as radiologists , pathologists and other clinicians need access to multiple types of medical information – from CT studies that contain thousands of very small images to pathology studies that contain fewer but much larger images . Traditional storage systems have difficulties delivering this multidimensional performance , in part due to silos of information , but also due to exponential data growth and their inability to handle this large volume .
In 2021 , IDC predicted an average of 270GB of healthcare data per person in the world . Siloed clinical data prevents clinicians from identifying correlations in treatment or disease , which in turn can lead to misdiagnosis or delays in treatment whilst the clinician finds the right information . Consolidating the data into a data ‘ pool ’ instead , eliminates bottlenecks in accessing the right information , instead making it always available and
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