DOCUMENT MANAGEMENT IN THE NHS
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The future of the NHS is digital Into the future, digital document management must be considered as a technology that is fundamental to seamless patient care. The benefits are numerous and clear; reduced administrative burdens on staff, improved data security, mitigating growing costs related to storing medical records, and more person-centred care, to name a few. Recent NHS guidance outlined the need for better interoperability: the seamless exchange of accurate patient information between different departments and offices. Document management systems are the key to create healthcare institutions that ‘speak’ to one another, facilitating more effective information sharing, and medical histories that are kept up to date in real time. With the right systems in place, healthcare providers can better protect sensitive information, meet regulatory obligations, and, crucially, prepare for a future where AI plays a meaningful role in delivering smarter and safer care, faster. n
encryption and stringent access controls. Access controls only allow users with specific permissions to read, edit and download sensitive documentation. This helps to limit the attack surface and improves resiliency of healthcare institutions. Audit trails are another useful tool that make it easy to track user activities and provide a detailed history of document access and modifications. Unusual access attempts can be spotted at speed, IT teams notified and corrective action taken to resolve any vulnerabilities before they are able to impact patient care. Tools such as document redaction also make it possible to omit sensitive information automatically, removing margin for human error. Go back to basics to capitalise on the AI opportunity As the UK government looks to capitalise on the efficiencies offered by AI, robust systems for digital document management will lay the foundation for major innovations in healthcare. However, healthcare leaders can already feel the benefits of AI on a smaller scale by integrating it into everyday processes, to streamline how data is managed, processed, and interpreted. Tools such as intelligent data capture make it easy to process reams of data and index it at speed. By analysing huge amounts of patient information and medical records, AI can unearth hidden trends, patterns and identify anomalies. And AI models are only improving over time. As AI evolves, it will be able to support clinicians and make recommendations for care plans, tailored to a patient’s individual treatment needs and medical history. Data indexing will also be able to support clinicians to sift out high-priority tasks from those that are less urgent; for example, identifying high- risk individuals who require immediate, targeted interventions.
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