Bookings and Referrals into UEC Application 1

Use Cases Supported

This Application supports the use of the following use cases:

• 111 (telephony) to ED (Emergency Department)
• 111 (telephony) to UTC (Urgent Treatment Centre)
• IUC CAS (Integrated Urgent Care Clinical Assessment Service) to ED (Emergency Department)
• IUC CAS (Integrated Urgent Care Clinical Assessment Service) to UTC (Urgent Treatment Centre)
• AST (999 Ambulance Service Trust) to ED (Emergency Department)
• AST (999 Ambulance Service Trust) to UTC (Urgent Treatment Centre)
• 111 (telephony) to SDEC (Same Day Emergency Care)
• IUC CAS (Integrated Urgent Care Clinical Assessment Service) to SDEC (Same Day Emergency Care)
• AST (999 Ambulance Service Trust) to SDEC (Same Day Emergency Care)

note: for use cases where the sending system is 111 Online, please see Bookings and Referrals into UEC Application 2

Introduction

Overview

This page provides guidance for implementing the Booking and Referral Standard (BaRS) specifically for the use cases listed above. It should be used alongside the BaRS Core implementation guide and Payload Definitions when developing to the standard.

Data model endorsements

The referral information data model is based on user research with NHS 111 service providers, 999 Ambulance Service Trusts (AST) and clinical and administrative Emergency Department staff. We carried out this research in parallel with the Professional Records Standards Body (PRSB) who examined the wider brief of 'referrals from NHS 111 to any other care setting'.

We worked alongside PRSB to ensure data transferred from 111 to ED is clinically relevant and safe. PRSB have defined and endorsed an information model which works for both the senders (111) and receivers (ED) when referrals are made between the respective services. This endorsement provides the necessary confidence that solutions built to the standard will be both fit for purpose and safe.

Bookings and Referrals into UEC Application 2

Use Cases Supported

This Application supports the use of the following use cases:

• 111 Online (NHS 111 Online - patient facing service) to ED (Emergency Department)
• 111 Online (NHS 111 Online - patient facing service) to UTC (Urgent Treatment Centre)
• S&R (Streaming and Redirection) to ED (Emergency Department)
• S&R (Streaming and Redirection) to UTC (Urgent Treatment Centre)

note: for use cases where the sending system is a 111 telephony service, please see Bookings and Referrals into UEC Application 1

Introduction

Overview

This page provides guidance for implementing the Booking and Referral Standard (BaRS) specifically for the use cases listed above. It should be used alongside the BaRS Core implementation guide and Payload Definitions when developing to the standard.

Data model endorsements

The referral information data model is based on user research with NHS 111 service providers, 999 Ambulance Service Trusts and clinical and administrative Emergency Department staff. We carried out this research in parallel with the Professional Records Standards Body (PRSB) who examined the wider brief of 'referrals from NHS 111 to any other care setting'.

We worked alongside PRSB to ensure data transferred from 111 to ED is clinically relevant and safe. PRSB have defined and endorsed an information model which works for both the senders (111) and receivers (ED) when referrals are made between the respective services. This endorsement provides the necessary confidence that solutions built to the standard will be both fit for purpose and safe.

Referral into UEC (Application 3)

Use cases supported

This application supports the following use case:

• 999 Ambulance Service Trust (AST) referral to Clinical Assessment Service (CAS)
  
  

This use case supports the referral of 999 AST cases with a non-ambulance triage outcome (CAT 5) to a CAS for consultation and treatment and/or onward referral.

Note: for 999 AST validation requests to CAS, that require a response please see BaRS-APP4

Data model endorsements

The referral information data model is based on user research with NHS 111 service providers, 999 Ambulance Service Trusts, Clinical Assessment Services and clinical and administrative Emergency Department staff. We carried out this research in parallel with the Professional Records Standards Body (PRSB) who examined the wider brief of 'referrals from NHS 111 to any other care setting'

For the Referral into a CAS from a 999 AST use case, the data model was endorsed by NHS England following consultation with the Association of Ambulance Chief Executives (AACE), National Ambulance Information Group (NAIG), National Ambulance Services Medical Directors' Group (NASMeD) and National Ambulance Digital Leaders Group (NADLG)

Referral into UEC for Validation (Application 4)

Use cases supported

This application supports the use of the following use cases:

• 999 Ambulance Service Trust (AST) validation request to Clinical Assessment Service (CAS)

Note: for referral of 999 AST cases with a non-ambulance triage outcome (CAT 5) to a CAS for consultation and treatment and/or onward referral please see BaRS-APP3

Data model endorsements

The referral information data model is based on user research with NHS 111 service providers, 999 Ambulance Service Trusts, Clinical Assessment Services and clinical and administrative Emergency Department staff. We carried out this research in parallel with the Professional Records Standards Body (PRSB) who examined the wider brief of 'referrals from NHS 111 to any other care setting'

For the validation request into a CAS from a 999 AST use case, the data model was endorsed by NHS England following consultation with the Association of Ambulance Chief Executives (AACE), National Ambulance Information Group (NAIG), National Ambulance Services Medical Directors' Group (NASMeD) and National Ambulance Digital Leaders Group (NADLG)

Referrals into Pharmacy (Application 5)

Use Cases Supported

This application supports the use of the following use cases:

• Primary Care to Community Pharmacy (Pharmacy First)

Introduction

Overview

This page provides guidance for implementing the Referral Standard (BaRS) specifically for the use cases listed above. It should be used alongside the BaRS Core implementation guide and Payload Definitions when developing to the standard.

Data model endorsements

The GP to Pharmacy (Pharmacy First) Minor Illness referral information data model is informed by user research with pharmacy service providers. We have engaged with NHS England (NHSE) Policy teams to establish the service information requirements. The data model is based on the Community Pharmacy Standard v3.0 as defined and endorsed by the Professional Records Standards Body (PRSB). The referral information has been validated by the NHSE Pharmacy Clinical Reference Group. This provides the necessary confidence that solutions built to the standard will be both fit for purpose and safe.

Referrals into an Ambulance Service Trust (Application 6)

Use Cases Supported

This application supports the use of the following use cases:

Note: when this application is used for Referrals from an AST Computer Aided Dispatch system (CAD) to an AST CAD it is known as 'CAD to CAD'

• CAD to CAD Out of Area Referral
• CAD to CAD Call Assist Request
• CAD to CAD Mutual Aid Request

Introduction

Overview

This page provides guidance for implementing the Referral Standard (BaRS) specifically for the use cases listed above. It should be used alongside the BaRS Core implementation guide and Payload Definitions when developing to the standard.

Data model endorsements

The referral information data model is based on user research with NHS 111 service providers, 999 Ambulance Service Trusts, Clinical Assessment Services and clinical and administrative Emergency Department staff. We carried out this research in parallel with the Professional Records Standards Body (PRSB) who examined the wider brief of 'referrals from NHS 111 to any other care setting'

For the CAD to CAD use case, the data model was agreed by the CAD to CAD Reference Group following a period of user research involving site visits, Reference Group workshops and desk research. This was endorsed by the CAD to CAD Working Group and shared with the the following organisations:

• National Ambulance Programme Board (NAPB)
• National Ambulance Advisory Group (NAAG)
• National Ambulance Information Group (NAIG)
• National Ambulance Services Medical Directors' Group (NASMeD)
• National Ambulance Digital Leaders Group (NADLG)
• National Heads of EOC Group (NHoEOC)
• National Information Governance Group
• National Directors of Operations Group (NDOG)