Understand patient journeys 

Using Hospital Episode Statistics (HES) to help identify opportunities for better healthcare in the NHS

Real world data generates insights into the health economy

We are living in interesting times. Access to real world data enables us to spot opportunities to improve healthcare in the UK in a way never possible with sample based studies.  HES is a dataset containing details of all admissions, outpatient appointments and critical care stays at NHS hospitals in England. Strict disclosure protocol means that patient confidentiality is maintained, allaying security fears while enabling analysts to monitor trends and patterns at an aggregated level in NHS hospitals.

CSL’s powerful big data software Esprit³ is used by the NHS and NHS suppliers to analyse HES data; it is used ethically and responsibly with the ultimate aim of improving patient outcomes and delivering benefits back to the health and social care system in the UK.


Can data science save the NHS? 

The NHS is facing a massive challenge as it attempts to meet the healthcare needs of an aging population at a time of significant budgetary constraints. It needs to become more efficient through evidence based decision-making and sharing best practice.  We believe real world data is the key to driving and measuring these efficiency gains; specifically, utilising that data to generate insights into each local health economy.

As part of our corporate responsibility aims, CSL is proud to provide some basic data services to the NHS free of charge.  This includes our free NHS Benchmarking service, which enables Trusts and CCGs to benchmark treatment costs and durations against similar organisations by HRG.  

We provide class-leading analytics services to NHS suppliers, enabling them to use HES data to engage with the NHS and help meet today’s challenges.

So if you want to know what HES datasets  could be relevant to your market, or what the current trends are for NHS analytics, contact us now for a free review and advisory report.

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