NHS Digital Data Release Register - reformatted

University Hospitals Birmingham NHS Foundation Trust

Opt outs honoured: Y

Basis: Health and Social Care Act 2012

Format: Anonymised - ICO code compliant Sensitive

How often: Ongoing

When: unknown — 11/2016

HSCIC Id: DARS-NIC-06605-X1L9Z-v0.0

Data: Hospital Episode Statistics Accident and Emergency

Data: Hospital Episode Statistics Admitted Patient Care

Data: Hospital Episode Statistics Critical Care

Data: Hospital Episode Statistics Outpatients

Data: Office for National Statistics Mortality Data (linkable to HES)

Data: Office for National Statistics Mortality Data

Data: Summary Hospital-level Mortality Indicator (SHMI) data split by trust and diagnosis group

Data: Office for National Statistics Mortality Data

Output: The sole outputs are analytics designed to assist the NHS in interrogating and deriving understanding from the SHMI indicator. Where appropriate this will include the ability to support the identification of areas of care appropriate for clinical case note review.
Such outputs are solely provided either via:
• a Module made available within the HED system, or
• aggregate small number censored reports
Within the HED system:
The module can contain aggregate-level information and low-level information. The level of data that can be viewed within a module depends on the access level of the named individual user and which organisation they are working for. As such, access to low-level information, including small numbers, is strictly controlled in line with the access controls outlined in the above section on ‘Processing activities’. This means that Hospitals will only have access to low-level information for their own data.
Outputs are to be used solely for the purpose of assisting the NHS.
Outputs will be used by NHS Clinicians and Managers to:
• Assure and manage clinical quality and patient safety within NHS Organisations
• Identify trends requiring a clinical review of patient pathways. (Hospital-based users with Caldicott approval are able to investigate metrics and ‘drill-down’ to patient-level information, including local patient identifiers, in order to conduct clinical case note review and route cause analysis)
• Increase the understanding of patient outcomes
• Identify potential areas for improvement in clinical quality or operational efficiency either within a Hospital or a local healthcare economy
• Identify areas of best practice either within hospital Trusts or local healthcare economies
All of the above will serve to increase the understanding of patient outcomes in regard to quality, safety, productivity and efficiency benchmarking within the NHS.
It is not appropriate to set a target date for this work as the work streams are ongoing and the outputs already form part of various NHS organisations’ routine reporting and governance assurance processes.

Activities: Data received from NHS Digital is only processed by authorised University Hospitals Birmingham NHS Foundation Trust (UHB) staff at the specific processing locations listed. No third parties are involved in the processing of the data.
Data received from NHS Digital by UHB is processed in line with a strict protocol and is stored in an access restricted server. This process was recently audited by the NHS Digital and found to be robust.

The level of data that can be viewed within the system depends on the access level of the named individual user and which organisation they are working for.
No record-level data is provided to any organisation, except where an individual working within an NHS Hospital has the authorisation of their Hospital’s Caldicott Guardian to access patient level information, including sensitive items, for the purposes of conducting clinical review of cases. In such instances a summary (but not all fields present in the raw data) is provided at spell or patient level. For example, the summary will give details of the admission date, method and diagnosis for a patient but not all field relating to the episodes as recorded in the raw data. The data available to users will only relate to patients treated at that Trust.

Only NHS Organisations can access ONS data. The geographical range of these organisations spread across England, and are not concentrated in one region.
NHS organisations are limited to the below list only.
• NHS Trusts (Between 50-75 hospitals)
• Clinical Commissioning Groups (CCG - Less than 10)
• Commissioning Support Units (CSU - Less than 10)
• NHS Improvement
• NHS England
• Quality Observatories (QO - Less than 10)
AQUA – legal basis is under Salford Royal NHS Foundation Trust
NEQOS – legal basis is under Northumberland Tyne and Wear and South Tees NHS Foundation Trusts
• East Midlands Academic Health Sciences Network (AHSN)
Legal basis is under Nottingham University Hospitals NHS Trust

Objective: To produce/analyse statistics using births/deaths data solely to help the NHS perform its duties.

Quarterly SHMI data will be used to look at outcomes analysis and form analytical overviews relating to post discharge mortality. Such overviews relate to standardised post discharge mortality monitoring within distinct clinical cohorts and bespoke long term survival monitoring. This work will increase the understanding of complete pathways of care since SHMI data shows which patients died following discharge from hospital. Any analysis produced using SHMI data will not be made available to non-NHS organisations. The objective is to provide quality care benchmarking analysis that will enable NHS organisations to deliver better services for patients.

NHS organisations are required to provide clinical quality and patient safety assurance within their organisation. The SHMI is a nationally recognised model to detect areas where mortality appears higher than expected. This variation could be due to a number of reasons, which is why further investigation is warranted, to ensure clinical care is being delivered safely and effectively. HED provides an analytical tool that assists organisations to understand and interpret the SHMI model – ie. providing standardised mortality figures broken down by a number of areas ie. specific time periods, diagnoses, specialties, age groups etc.

Source: NHS Digital.