A widened scope of emergency department performance statistics are now published on the National Collaborative Commissioning Unit (NCCU) website, as management. This includes measures on the time from patient arrival to triage, the time from patient arrival to contact with a clinical decision maker and analysis of the patient’s discharge destination when they leave the emergency department. These will be updated every month on the same day as this National Statistics publication. For the March 2017 data onwards, there will be a new approach to publishing the emergency departments waiting times data: Prior to August 2012 data, the monthly emergency departments waiting times data was published by Welsh Government as official statistics in a Statistical Release, with more detailed data on StatsWales. A target around the eradication of 12 hour or more waits in all emergency care facilities from April 2013 onwards was introduced in the NHS Wales Delivery Framework for 2013-14, therefore data on the 12 hour target is not available before this date. Until April 2012, data was submitted via SITREPS on a daily and weekly basis. The quality of the daily reported data was not robust enough for publication, therefore data was taken from the validated weekly reports to ensure greater reliability. As a result, the information presented is based on a four/five weekly cycle rather than calendar months. The number of weeks in any given cycle is based on how many Mondays fall between the end of the previous cycle and the end of the month. It is the week end date, always a Monday, which is used to determine the 'month' a particular weekly report belongs to. Months consisting of a 5 week reporting period have a note next to them. Data Prior to January 2013 will not be directly comparable with data for January 2013 onwards due to a change in methodology. See notes in March 2013 release for more details (January 2013). For August 2012 to February 2017 data, the monthly data was published by Digital Health and Care Wales (DHCW) on their website as management information. For March 2017 data onwards the monthly data is published on StatsWales with the DHCW publication being discontinued. Data for other emergency departments/minor injury units is only shown from April 2012 onwards as this information was not collected through SITREPS. For the January to July 2012 data, Betsi Cadwaladr University LHB was not able to fully implement the change for all months and Cardiff and Vale University LHB was only able to implement it for 26 to 31 January, but have fully implemented it from the February 2012 data. (Cardiff and Vale University informed us that they had to develop and test its systems and train users to ensure a robust collection around clinical exclusions to comply with the new EU compliance guidance. This was completed late in January.) Therefore the Wales figures for December 2011 to July 2012 are likely to be lower than expected. There are some technical changes to emergency department reporting, that have been implemented from December 2011 around clinical and operational exclusions. From December 2011, the guidance below now applies in Wales. So, the two situations below will no longer be counted as a breach of the targets: If a clinician decides that the safest place for a patient is the emergency department, the patient should remain there until it is safe to move them; and patients should not be admitted solely to avoid a breach of the targets. Clinicians should admit patients only to appropriate facilities and only when it is appropriate to do so. For the December 2011 data, Cardiff and Vale University and Betsi Cadwaladr University LHBs were not able to implement the change to the guidance around clinical exclusions.

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the SUS data set. SUS data covers all NHS Clinical Commissioning Groups (CCGs) in England, including: • private patients treated in NHS hospitals • patients resident outside of England • care delivered by treatment centres (including those in the independent sector) funded by the NHS Each SUS record contains a wide range of information about an individual patient admitted to an NHS hospital, including: • clinical information about diagnoses and operations • patient information, such as age group, gender and ethnicity • administrative information, such as dates and methods of admission and discharge • geographical information such as where patients are treated and the area where they live NHS Digital apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published SUS data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained.

Who SUS is for SUS provides data for the purpose of healthcare analysis to the NHS, government and others including:

The Secondary Users Service (SUS) database is made up of many data items relating to A&E care delivered by NHS hospitals in England. Many of these items form part of the national Commissioning Data Set (CDS), and are generated by the patient administration systems within each hospital. • national bodies and regulators, such as the Department of Health, NHS England, Public Health England, NHS Improvement and the CQC • local Clinical Commissioning Groups (CCGs) • provider organisations • government departments • researchers and commercial healthcare bodies • National Institute for Clinical Excellence (NICE) • patients, service users and carers • the media

Uses of the statistics The statistics are known to be used for: • national policy making • benchmarking performance against other hospital providers or CCGs
• academic research • analysing service usage and planning change • providing advice to ministers and answering a wide range of parliamentary questions • national and local press articles • international comparison More information can be found at https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/hospital-episode-statistics https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity"

Monitors how PCTs perform against measures in the following areas: CHD-Diabetic retinopathy; CHD-NHS Health Checks; Older people-Delayed Discharge; Health Improvement-Maternity; Health Improvement-Stroke. NB From 2011-12, this publication has replaced the previous Vital Signs Monitoring report. The coverage is similar but not identical to the Vital Signs report - the measures included are covered by the 2011-12 NHS Operating Framework.

Source agency: NHS England

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Integrated Performance Measures

HPMS compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

National Health Service (waiting times) performance data published by the UK Department of Health for the year 2008/09.

Objective: To quantify the effect of intra-hospital patient flow on Emergency Department (ED) performance targets and indicate if the expectations set by the NHS England five year forward review are realistic in returning emergency services to previous performance levels. Design: Linear regression analysis of routinely reported trust activity and performance data using a series of cross-sectional studies. Setting: NHS trusts in England submitting routine nationally reported measures to NHS England. Participants: 142 acute non-specialist trusts operating in England between 2012 and 2016. Main outcome measures: The primary outcome measures were: proportion of four-hour waiting time breaches and cancelled elective operations. Methods: Univariate and multivariate linear regression models were used to show relationships between the outcome measures, and various measures of trust activity including: empty day-beds, empty night-beds, day-to-night bed ratio, ED conversion ratio and delayed transfers of care. Results: Univariate regression results using the outcome of four-hour breaches showed clear relationships with: empty night-beds and ED conversion ratio between 2012-2016. The day-to-night bed ratio showed an increasing ability to explain variation in performance between 2015-2016. Delayed transfers of care showed little evidence of an association. Multivariate model results indicated that the ability of patient flow variables to explain four-hour target performance had reduced between 2012-2016 (19% to 12%), and had increased in explaining cancelled elective operations (7% to 17%). Conclusions: The flow of patients through trusts is shown to influence ED performance, however performance has become less explainable by intra-trust patient flow between 2012 and 2016. Some commonly stated explanatory factors such as delayed transfers of care showed limited evidence of being related. The results indicate some of the measures proposed by NHS England to reduce pressure on EDs may not have the desired impact on returning services to previous performance levels.

The percentage of people who have been seen within four hours in all types of accident and emergency (A&E) departments in London Hospitals.

The data includes the following by NHS hospital and for London as a whole:

Performance against 4-hour wait for A&E attendances, 2008/09 Performance against 4-hour wait for A&E attendances, 2009/10 Quarterly performance against 4- hour wait for attendances 2010/11

Data source: Department of Health QMAE return

This data includes attendances at all types of A&E services, mapped where relevant to each NHS Trust.

This publication provides the timeliest picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is available in the Data Quality section, as well as within the Data Coverage and Data Quality VODIM and Integrity files available under 'Resources'.

The data presented in this table is for contextual purposes only as it does not include attendances for some minor injuries units in the Betsi Cadwaladr health board, where patient-level data cannot be obtained on a consistent basis as all other hospitals. Therefore the total number of attendances will be lower than those presented in the NHS Activity and Performance statistical release and associated StatsWales tables, as attendances in these publications are based on aggregated data that is collected from all hospitals. A widened scope of emergency department performance statistics are now published on the National Collaborative Commissioning Unit (NCCU) website, as management. This includes measures on the time from patient arrival to triage, the time from patient arrival to contact with a clinical decision maker and analysis of the patient’s discharge destination when they leave the emergency department. These will be updated every month on the same day as this National Statistics publication. Data Prior to January 2013 will not be directly comparable with data for January 2013 onwards due to a change in methodology. See notes in March 2013 release for more details (January 2013). While there are some small numbers in the data collected and presented, the information is not considered to be sensitive in nature and there is no identifying information presented.

Pathology services are a fundamental core of healthcare services and are essential in the delivery of many national priorities. A Report of the Review of NHS Pathology Services in England, chaired by Lord Carter of Coles, estimated that 70-80 per cent of all healthcare decisions affecting diagnosis or treatment involve a pathology investigation. With the increased demand on acute care services there is a growing requirement for rapid laboratory results to facilitate the decision to discharge or admit, including the escalation of care. Laboratory turn around times (LTAT) are defined as the interval between when a test is requested to the time the results are available to the clinical team. LTAT is considered one of the most noticeable markers of a laboratory service and is often used as a key performance indicator in healthcare settings.

Computerised Provider Order Entry (CPOE) systems are computer-assisted systems that are designed to replace a hospital’s paper-based ordering system. When configured correctly CPOE systems should increase efficiency and improve patient care.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Scope: Clinical and operational pathway data for 323,899 blood tests ordered pre and post implementation of a CPOE system. Data on the time the new system was implemented. Date and time fields are provided for the specimens from the point they were requested through to processing times in the laboratory and finally the date/time results are reported back via the Electronic Health System. Data on the ward and specialty are provided.

Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the SUS data set. SUS data covers all NHS Clinical Commissioning Groups (CCGs) in England, including: 1. private patients treated in NHS hospitals 2. patients resident outside of England 3. care delivered by treatment centres (including those in the independent sector) funded by the NHS

Each SUS record contains a wide range of information about an individual patient admitted to an NHS hospital, including: 1. clinical information about diagnoses and operations 2. patient information, such as age group, gender and ethnicity 3. administrative information, such as dates and methods of admission and discharge 4. geographical information such as where patients are treated and the area where they live

NHS Digital apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published SUS data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained.

Who SUS is for SUS provides data for the purpose of healthcare analysis to the NHS, government and others including:

The Secondary Users Service (SUS) database is made up of many data items relating to A&E care delivered by NHS hospitals in England. Many of these items form part of the national Commissioning Data Set (CDS), and are generated by the patient administration systems within each hospital. 1. national bodies and regulators, such as the Department of Health, NHS England, Public Health England, NHS Improvement and the CQC 2. local Clinical Commissioning Groups (CCGs) 3. provider organisations 4. government departments 5. researchers and commercial healthcare bodies 6. National Institute for Clinical Excellence (NICE) 7. patients, service users and carers 8. the media

Uses of the statistics The statistics are known to be used for: 1. national policy making 2. benchmarking performance against other hospital providers or CCGs
3. academic research 4. analysing service usage and planning change 5. providing advice to ministers and answering a wide range of parliamentary questions 6. national and local press articles 7. international comparison

More information can be found at https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/hospital-episode-statistics https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity"

This statistical release makes available the most recent NHS Talking Therapies for anxiety and depression monthly data, including activity, waiting times, and outcomes such as recovery. NHS Talking Therapies is run by the NHS in England and offers NICE-approved therapies for treating people with depression or anxiety. This release also includes experimental statistics from the NHS Talking Therapies Employment Adviser Pilot. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.

Data on the numbers of people experiencing a delay in the arrangements for them to leave hospital, for example to go home, or to move to another more appropriate facility within the NHS, eg from an acute bed to a rehabilitation bed.

The waiting time of people referred by their GP with suspected cancer or breast symptoms and those subsequently diagnosed with and treated for cancer, by London NHS hospital and Primary Care Trust (PCT).

The data contains information on the numbers of people waiting for treatment and performance against a range of key operational standards.

Source: Department of Health Cancer Waiting Times Database

This publication looks at Accident and Emergency activity in England for the financial year 2023-24. It describes NHS accident and emergency activity and performance in hospitals in England. The data sources for this publication are the Emergency Care Data Set (ECDS) and Emergency Admissions Monthly Situation Reports (MSitAE) relating to A&E attendances in NHS hospitals, minor injury units and walk-in centres. The report includes analysis by patient demographics, time spent in A&E, distributions by time of arrival and day of week, arriving by ambulance, performance times, waits for admission and reattendances to A&E within 7 days. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Note: the MSitAE figures presented in the 'MSitAE Report Tables' file account for revisions to historic data and may therefore differ slightly from those shown in the 'Quality Indicators (CQI) Open Data' file, which is based on data published at fixed points in the year. The MSitAE data referenced throughout this report are published monthly by NHS England on the separate 'NHS England MSitAE Home Page', as linked to in the Related Links section below. This publication includes the total number of attendances for all A&E types, including Urgent Treatment Centres, Minor Injury Units and Walk-in Centres, and of these, the number discharged, admitted or transferred within four hours of arrival. Also included are the number of Emergency Admissions, and any waits of over four hours for admission following decision to admit. Contact details Author: Secondary Care Open Data and Publications; Activity Capacity & Planning, NHS England Responsible Statistician: Karl Eichler Email: enquiries@nhsdigital.nhs.uk Press enquiries should be made to: Media Relations Manager: telephone 0300 303 3888

This study aimed to investigate the inequalities in the National Health Service' (NHS) policies and practices at local levels across England, Scotland and Wales using a total of 195 semi-structured face-to-face interviews. The interviews were conducted with 195 public sector professionals in the NHS (mostly in senior management positions) in several case study localities across the three countries in two phases (2006 and 2008). All interviews were transcribed. The time gap between the two study phases of 2006 and 2008 allowed for analysis of the changes over time as new approaches to performance assessment developed and political changes occurred.

Performance assessment is an established feature of local government and the National Health Service in the UK, but has only recently been extended to health inequalities, a 'shared priority' across these sectors. Whether performance assessment can work with a 'wicked issue' of this nature, where causation and accountabilities are complex, is a central question for the research.

The study is comparing work on tackling health inequalities in localities across England, Wales and Scotland. Since devolution these countries have diverged in their approaches to both health policy and performance management, so there are opportunities to explore these differences and their implications. The study is based on two phases of interviews with key stakeholders, enabling an analysis to be undertaken of the discourses that are in play and how these differ across countries, localities, sectors, professional roles and time. For example, are targets influencing how upstream or downstream the public health approaches are, and what is the balance between national and local priorities? The interviews are being supplemented by statistical and performance management data from the localities to look at the 'fit' between the local discourses and evidence about health inequalities.

This National Highway System dataset was exported from Caltrans Linear Reference System (LRS) on July 18, 2023. The LRS serves as the framework upon which the Highway Performance Monitoring System (HPMS) and other business data are managed.Caltrans Home (arcgis.com)