Our range of Quantis solutions provides you with the real-world evidence needed for critical engagement and to support the case for change across the healthcare system, always with improvement to patient care at the centre.
At its core, Quantis uses over 5 years of historical Hospital Episode Statistics (HES) data to generate powerful healthcare system insights wherever you need it, on an interactive customer facing platform helping you to inform and partner with your NHS customers.
Quantis Dashboards
The ultimate cloud-based solution to deliver real healthcare insight fast
- Granular, therapy area specific data, combined with our market leading data visualisation solution; this powerful, bespoke, business tool allows you to operate as a valued partner with your NHS customers, supporting collaborative working as you with ongoing updates through the life of your project(s).
- Build a case for change supported by real-world healthcare data. Identify where service efficiencies and patient outcomes can be improved to increase the appropriate diagnosis, management and awareness of a disease ,and map performance locally and nationally where specialist resource is in place
- Provide collaborative service solutions that address healthcare inequalities and generate reliable evidence and demonstrate the advantages to your key customers.
Quantis Analytic Reports
Explore focused areas with a commissioned analytic report
- Identify trends, anomalies and opportunities in areas of the NHS secondary care sector of interest to you. Each analytic report commissioned is unique and configured to meet your specific objectives.
- Reports are highly flexible and can be turned round quickly by our experienced consultants. Their high quality of data and analysis provides the ideal starting point to engage with NHS customers.
- All Quantis Analytic Reports utilise our unbeatable range of data sources that allows you to cross reference up to five years of healthcare data, specific to you and your customers challenges.
Quantis Inequalities Dashboard
Understand the variations at a local level to tackle disparities
- Inequalities is front and centre as integrated care organisations develop their plans and strategies. Whilst ICS’s have responsibility for planning and funding, care integration for health improvement will happen at a local level.
- Benchmark against the national picture, or other specific organisations such as ICSs and understand areas where patients accessing services has changed and spotting opportunities to support these trends
- Demonstrate value in providing effective care in the most appropriate setting and help the NHS understand the likelihood of patients with inequality markers appearing at more advanced disease stages, the impact on services or access and how increasing backlogs could affect your patients based on their deprivation status.
Quantis Self-Service
Bespoke data reports on your chosen therapy areas, at your own convenience
- Saving hours of research time providing unparalleled level of insight into NHS hospital activity, through direct access to the compliant, streamlined, real-world data you need when you need it, including impactful NHS datasets such as Hospital Episode Statistics (HES).
- Explore millions of datapoints spanning multiple years and organisation types, complete with a comprehensive range of diagnoses & procedures, illustrated using an array of patient demographic attributes, and coupled with a comprehensive array of quantitative metrics.
- Make informed, data-driven decisions easily, quickly, and effectively, benefiting your partners in health and social care, driving success through powerful analytics.
We process record level, pseudonymised, non-sensitive, Hospital Episode Statistics (HES), Diagnostic Imaging Dataset (DIDs) and Mental Health Services Dataset (MHSDS) under license from NHS England. This licence is administered by HSJ Information Ltd formerly Wilmington Healthcare Ltd. Further information here.
HES data are collected in accordance with applicable data protection law. NHS England publish. Further information here.
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