| Acronym | Definition |
| 18WW | Eighteen Week Waits |
| A&E | Accident & Emergency |
| AD | Advance Decision |
| AIN | Assistant in Nursing |
| AMHP | Approved Mental Health Professional |
| AMHP | Approved Mental Health Professional |
| APGAR | after Dr. Virginia APGAR |
| AS | Advance Statement |
| ASA | Average Speed of Answer |
| ASW | Approved Social Worker (redundant term. See AMHP) |
| AVA | Abuse of Vulnerable Adults |
| BAAF | British Association for Adoption and Fostering |
| BCG | Bacillus Calmette-Guérin |
| BME | Black and Minority Ethnic |
| BMP | Bitmap (file extension format) |
| BNF | British National Formulary |
| C19 | Form C19: Application for a warrant of assistance (Section 102 Children Act 1989) |
| CAB | Choose and Book |
| CAF | Common Assessment Framework |
| CCG | Clinical Commissioning Group |
| CCHP | Community Children’s Health Partnership |
| CCOW | Clinical Context Object Workgroup |
| CD | Controlled Drugs |
| CDA | Clinical Document Architecture |
| CMDS | Contract Minimum Data Set |
| COVER | Cover Of Vaccination Evaluated Rapidly |
| CPMS | Clozaril Patient Monitoring System |
| CTO | Community Treatment Order |
| DNA | Did Not Attend |
| DNAR | Do Not Attempt Resuscitation |
| DOB | Date of Birth |
| DOLS | Deprivation of Liberty Safeguards |
| DPA | Data Protection Act |
| DSCN | Data Set Change Notice (replaced by ISN) |
| DTOC | Delayed Transfer of Care |
| EDM | Electronic Document Management |
| e-GIF | e-Government Interoperability Framework |
| eMAR | electronic Medication Administration System |
| EPS | Electronic Prescription Service |
| FTA | Failed to Attend |
| FTE | Full Time Equivalent |
| GDP | General Dental Practitioner |
| GIF | Graphics Interchange Format (file extension format) |
| GP | General Practitioner |
| GUM | Genito Urinary Medicine |
| HL7 | Health Level 7 |
| HNEAHS | Hunter New England Area Health Service |
| HOCF | Home Oxygen Consent Form |
| HRG | Health Resource Group |
| IAPTS | Increased Access to Psychological Therapies |
| IAPTS | Increased Access to Psychological Therapies Services |
| IC | Information Centre |
| ICD10 | International Classification of Diseases |
| ICP | Integrated Care Pathway |
| ID | Identity |
| IG | Information Governance |
| IMHA | Independent Mental Health Advocate |
| IPTAMDS | Inter-Provider Transfer Administrative Minimum Dataset |
| ISI | Information Sharing Index |
| ISN | Information Standards Notice |
| ISN | Information Standards Notice |
| JPEG | Joint Photographic Experts Group (file extension format) |
| KC51 | Form KC51: Data collection form required by the Health and Social Care Information Centre |
| KPI | Key Performance Indicator |
| LEA | Local Education Authority |
| MCA | Mental Capacity Act |
| MDS | Minimum Data Set |
| MHA | Mental Health Act |
| MHRA | Medicines and Healthcare products Regulatory Agency |
| MIU | Minor Injury Unit |
| MoJ | Ministry of Justice |
| MRSA | Methicillin-resistant Staphylococcus aureus |
| NCMP | National Child Measurement Programme |
| NCOD | National Child Obesity Database |
| NDTMS | National Drug Treatment Monitoring System |
| NHS | National Health Service |
| NICE | National Institute for National Excellence |
| NICU | Neonatal Intensive Care Unit |
| NMP | Non-Medical Prescriber |
| NN4B | NHS Number for Babies |
| NPRAS | National Patient Record Analysis Service |
| ODS | Organisation Data Service |
| PCT | Primary Care Trust |
| PDA | Personal Digital Assistant |
| Portable Document Format (file extension format) | |
| PDS | Personal Demographic Service |
| PGD | Patient Group Directions |
| PICU | Paediatric Intensive Care Unit |
| PICU | Psychiatric Intensive Care Unit |
| PNG | Portable Network Graphics (file extension format) |
| QR Code | Quick Response Code |
| READ | After Dr James Read |
| RTT | Referral to Treatment |
| SCBU | Special Care Baby Unit |
| SPOTRN | Satisfactory, Problem, Observe, Treatment, Refer, Normal |
| SHA | Strategic Health Authority |
| SNOMED CT | Systematized Nomenclature of Medicine Clinical Terms |
| SRHAD | Sexual Reproductive Health Activity Dataset |
| SUS | Secondary Uses Service |
| TB | tubercle bacillus (aka Tuberculosis) |
| TTO | To Take Out |
| UBRN | Unique Booking Reference Number |
| UK | United Kingdom |
| UUID | Unique User Identification |
| V&I | Vaccinations and Immunisations |
| VTP | Vaccine Tracking Project |
| W3C | World Wide Web Consortium |
| WAI | Web Accessibility Initiative |
| XDS | XML Data Services |
| XML | Extensible Markup Language |
Category: Hospital
Caldicott principles
The six Caldicott principles, applying to the handling of patient-identifiable information, are:
- justify the purpose(s) of every proposed use or transfer
- don’t use it unless it is absolutely necessary, and
- use the minimum necessary
- access to it should be on a strict need-to-know basis
- everyone with access to it should be aware of their responsibilities, and
- understand and comply with the law.
Hospital Performance Measures
A&E 4-hour wait time: all patients
This is the percentage of patients who have received emergency treatment and who have been discharged from the department within 4 hours of arrival in A&E, or admitted to the Trust within 4 hours of arrival.
Target figure for 2015/16: 95%
Total time spent in A&E: all patients
National: 305
95% of all patients waited under 582 minutes from arrival to departure*.
* The data used in these reports are sourced from provisional A&E Hospital Episodes Statistics data, and may differ to the data held by individual Trusts.
The 95th percentile information is particularly sensitive to poor data quality and outliers which contributes to why some unusually high values may be observed for these measures.
Total time spent in A&E: non-admitted patients
National: 238
95% of patients not requiring admission to hospital waited under 453 minutes from arrival to departure*.
* The data used in these reports are sourced from provisional A&E Hospital Episodes Statistics data, and may differ to the data held by individual Trusts.
The 95th percentile information is particularly sensitive to poor data quality and outliers which contributes to why some unusually high values may be observed for these measures.
Total time spent in A&E: admitted patients
National: 510
95% of patients requiring admission to hospital waited under 815 minutes from arrival to departure*.
* The data used in these reports are sourced from provisional A&E Hospital Episodes Statistics data, and may differ to the data held by individual Trusts.
The 95th percentile information is particularly sensitive to poor data quality and outliers which contributes to why some unusually high values may be observed for these measures.
Time to treatment in A&E
National: 54
The average (median) waiting time for patients to be seen by a clinical decision maker was 69 minutes.
The target figure for 2015/16: 60 minutes
* The data used in these reports are sourced from provisional A&E Hospital Episodes Statistics data, and may differ to the data held by individual Trusts.
Left A&E without being seen
National: 2.7%
This is the percentage of patients leaving A&E without being seen by a clinical decision-maker (senior doctor or nurse).
* The data used in these reports are sourced from provisional A&E Hospital Episodes Statistics data, and may differ to the data held by individual Trusts.
Unplanned re-attendances in A&E
National: 7.6 %
We want to reduce the number of people returning to A&E by ensuring that the quality of care they receive and our communication with them was right first time. This standard is for the percentage of patients who return to the department within 7 days of their first attendance.
* The data used in these reports are sourced from provisional A&E Hospital Episodes Statistics data, and may differ to the data held by individual Trusts.
Time to initial assessment (emergency ambulances only)
National: 183
95% of patients requiring admission to hospital waited under 77 minutes from arrival to initial assessment*.
* The data used in these reports are sourced from provisional A&E Hospital Episodes Statistics data, and may differ to the data held by individual Trusts.
The 95th percentile information is particularly sensitive to poor data quality and outliers which contributes to why some unusually high values may be observed for these measures.
18 weeks referral to treatment target – incomplete
All non-urgent patients referred to us should be treated within 18 weeks of the receipt of the referral. The figure shown represents the percentage of patients waiting less than 18 weeks on the last day of the month.
The target figure for 2015/16: 92%
Diagnostic treatment – six week referral
Patients referred to us for treatment should wait no longer than six-weeks for a diagnostic test from the request from the referring clinician. The figure shown represents the percentage of patients seen within this time-frame.
The target figure for 2015/16: 99%
Cancer treatment – 2 week referral
All patients referred to us urgently where their GP suspects there may be a risk of cancer should be seen in outpatients within 14 days of the receipt of the referral. The figure shown represents the percentage of patients seen within this time-frame.
The target figure for 2015/16: 93%
Cancer treatment – 31 day waits
All patients diagnosed with cancer should start their recommended treatment (which may include chemotherapy, radiotherapy and surgery) within 31 days from the decision to treat. The figure shown represents the percentage of patients seen within this time-frame.
The target figure for 2015/16: 96%
Cancer treatment – 62 day waits
All patients diagnosed with cancer should start their recommended treatment (which may include chemotherapy, radiotherapy and surgery) within 62 days from first being referred to us. The figure shown represents the percentage of patients seen within this time-frame.
The target figure for 2015/16: 85%
Number of clostridium difficile (C.diff) cases
Like all other healthcare organisations, one of our key priorities is to prevent patients from getting an infection whilst they are in our care. Trusts routinely publish data on MRSA and Clostridium difficile (C. diff) to indicate to demonstrate how effective efforts to control infection have been. Clostridium difficile is a bacteria that can cause diarrhoea in some circumstances.
Target figure for 2015/16: 31 cases
Number of MRSA cases
Like all other healthcare organisations, one of our key priorities is to prevent patients from getting an infection whilst they are in our care. Trusts routinely publish data on MRSA and Clostridium difficile (C. diff) to indicate to demonstrate how effective efforts to control infection have been.
Target figure for 2015/16: Zero
Occurrence of avoidable pressure ulcers (bed sores)
We are committed to improving patient safety by reducing and eventually eliminating all hospital acquired pressure ulcers. The level of severity (where 1=least severe and 4=most severe) of the categories increases with the number. All pressure ulcers can cause pain and distress for patients and the more serious ones can cause major disability or even death, which makes this priority extremely important.
Target figure for 2015/16: 19 per 100,000 bed days
Papooze 