DATA MANAGEMENT IN HEALTHCARE
Good data health The healthcare sector generates a huge amount of data, and many organisations within it are waking up to the power of it to bring efficiencies and patient benefits – but they need the right data management solutions to do that effectively.
The UK healthcare sector is huge, employing approaching two million people and expenditure on it runs to hundreds of billions of pounds. It also generates an ever- increasing amount of data, especially as the sector continues to digitalise and harness artificial intelligence (AI) tools. This data needs to be managed effectively, especially if it is to deliver the outcomes that healthcare organisations seek to become more efficient and provide better services to patients. “Tools like Digital Health Records can play a vital role in this, helping to streamline operations, support smarter decision-making and integrate patient data from various sources,” says Oz Olivo, VP of product management for Inrupt. “As we move further into the AI era, these data-driven approaches will be key to improving care, boosting productivity and making the healthcare system more sustainable for the future.” Enabling better treatment Becky Stables, head of marketing at Catalyst BI, adds that data management solutions can help medical professionals make informed decision-making when treating patients and can improve patient care, allowing treatment to be tailored effectively to meet patient needs. “Accurate and well-managed data enables medical professionals to identify trends and patterns, facilitating comparisons, evaluations and predictions about future developments in the healthcare sector,” she says. It can also improve patient care. “Healthcare must prioritise patient wellbeing and data management plays a crucial role in improving the quality of care and making sure treatment is comprehensive and effective,” Becky says. “Data management enables healthcare providers to gain access to essential information quickly, enabling prompt diagnosis and treatment during medical emergencies.” In addition, robust data management results in high-quality data, which drives better
decision-making on an organisation and national level, she adds. “Healthcare systems can leverage several benefits including being able to conduct patient-centric analyses to help tailor treatment and improve focus in the organisation to consistently improve overall patient care.” Becky adds that there are other ways in which effective data management can help. For instance, it reduces operational costs by preventing overspending on internal data systems and hardware. “This can be done by adopting cloud-based platforms and comprehensive tools like Health Contracts International,” she says. “Data management enables organisations to make informed decisions, shape policies and offer services that meet the population’s healthcare needs. Quality data allows leaders to strategically balance financial margins with resource allocation, driving business decisions based on accurate analytics. “Operational efficiency is a pressing need and a regular issue in healthcare, and this can be resolved through data management. Data management promotes a more streamlined and effective business process that can health scale healthcare services and supplies, allowing healthcare providers to optimise resources and improve profitability.”
Oz Olivo VP, product management
inrupt.com
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As we move further into the AI era, these data-driven approaches will be key to improving care, boosting productivity, and making the healthcare system more sustainable for the future.
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