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IT DATA


Artificial intelligence


To succeed, commissioners’ decisions need to be based on intelligence, but the intelligence they need is widely dispersed and trapped in an array of opaque software systems. JULIA DENNISON speaks to the experts to find out why they believe the current data model impedes better value outcomes


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linical commissioning groups face a challenge: to deliver better outcomes for patients with less money. One way of doing this,


evidence shows, is through the integration of data and there have been government drives to help this. The Information Sharing Challenge Fund, for example, was established by the Department of Health last year to accelerate the exchange of data originating from different systems. Applications for the scheme were oversubscribed by 100% and, as I write, the DH’s informatics directorate has


announced that over 40 IT projects are set to benefit from £2.2m of the funding. But despite initiatives like this, veteran


of the corporate world Wayne Parslow, vice president of Harris Healthcare EMEA, believes the health service has some catching up to do with the private sector when it comes to a free flow of information. “Anyone looking in from banking, where highly personal financial information is continuously and securely shared, or from a background where social media is actively used to publish locations, photos, thoughts and messages on a daily basis, would probably find themselves struggling to get to


grips with the way that patient information is stored on a piece of paper in the place where the patient was treated,” he wrote in a recent white paper on the subject. He argues that by following the business world’s example, healthcare can skip the toil that goes into working it all out and get right to the nub: better outcomes.


BIG DATA


Integration of the kind Parslow is dreaming can only happen with a robust IT system in place to support it. That is, he says, to ensure information is accessible across different departments, organisations and


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