D I S S E C T I N G B U S I N E S S performant , ready for consumption by any specialist , researcher or AI-algorithm to improve the speed of diagnosis .
Artificial Intelligence ( AI ) enables faster results for clinicians
Medical professionals are already incorporating AI into their decision-making to support diagnoses and boost productivity . In medical imaging , dozens of AI algorithms have already been approved for clinical use and given a CE mark to show they meet regulatory requirements .
AI algorithms can support clinicians by streamlining their work , for example , AI can examine the 2,000 images generated by an MRI scan and distinguish those that contain anomalies or medical problems which must be examined by a health professional .
While the final diagnosis remains fundamentally a human responsibility , AI in medical imaging acts as a virtual radiologist and can greatly improve the quality and productivity of diagnoses by prioritising examination results , images or finding similarities between studies for comparison .
To do this , storage infrastructure needs to be scalable , performant and simple to use to simplify the adoption of AI tools within modern PACS workloads .
Protecting against ransomware
The threat of cyber and ransomware attacks cannot be ignored when it comes to hospitals and medical facilities , because of the critical and private nature of the data involved and because the consequences of downtime due to a cyberattack are dramatic in terms of human life . The longer clinical systems are taken offline , the more risk there is to patient care .
As ransomware becomes more sophisticated , it is evading anti-virus programmes for longer and embedding itself in clinical files over weeks and months . It is an issue which requires solid protection against , as well as a restoration plan when a breach does occur . Medical facilities need solutions which provide twofold protection – taking immutable snapshots of data so hackers can ’ t delete or encrypt information and also
IN A HOSPITAL , MODERN STORAGE IS ESSENTIAL TO ENABLE SPECIALISTS TO BE MORE PRODUCTIVE .
providing the ability to restore at speed and scale . Some solutions provide up to 270TB per hour of data-recovery performance which will get medical facilities back online very rapidly if the worst does happen .
Better patient treatment with fast access to data
Complex workloads , made up of everincreasing quantities of unstructured data , need a modern approach to consistently support the required performance and availability . The data management strategy and infrastructure of some healthcare institutions are not keeping pace with what ’ s necessary for medical practitioners and clinicians to be effective .
Healthcare in the future must be supported by solutions capable of bringing together all patient data with a single point of access to treat the patient as a whole , instead of examining a single medical problem at a time . It is about bringing together medication , imaging and AI expertise to improve the detection and knowledge of diseases , and to provide a better patient experience with faster diagnosis and treatment . By breaking down silos of data and adopting a unified fast file and object storage platform , clinicians will be in a strong position to access and analyse data to better support improved decision-making for modern healthcare needs .
Simplicity and continuous availability of critical application data are key , as the healthcare sector simply cannot afford downtime or fail to exploit the value of its vital data . Focusing on the effective use of healthcare data ultimately leads to improved real-time diagnostic capability for clinicians , faster patient treatment and improved patient outcomes . �
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