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Patient Blood Management and Perioperative Care HIC Dataset

Population Size

2,047,000

People

Population Size statistic card

Years

2015 - 2026

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

National

Geographic coverage statistic card

Lead time

Variable

Lead time statistic card

Summary

The PBMPC research database will bring together real-world NHS data to help:

  • Understand who receives transfusions and whether they follow best practice.
  • Identify differences in transfusion care across hospitals and patient groups.
  • Assess whether PBM strategies improve patient outcomes.
  • Improve efficiency in blood use and reduce waste.
  • Ensure equal access to high-quality care across all patient groups.

Documentation

The World Health Organisation (WHO) and James Lind Alliance (JLA) have highlighted Patient Blood Management (PBM) as a priority for research and healthcare improvement. National reports, including the Infected Blood Inquiry (IBI), have also stressed the need for better data-sharing to improve transfusion safety.

Our Aims

The PBMPC research database will bring together real-world NHS data to help:

  • Understand who receives transfusions and whether they follow best practice.
  • Identify differences in transfusion care across hospitals and patient groups.
  • Assess whether PBM strategies improve patient outcomes.
  • Improve efficiency in blood use and reduce waste.
  • Ensure equal access to high-quality care across all patient groups.

How This Will Help

By turning data into action, this research will support safer, more effective, and more sustainable blood management, benefiting both patients and the healthcare system.

Who We Are

This work has been developed by the NIHR Blood & Transplant Research Unit in Data Driven Transfusion Practice, a NIHR-funded research unit with over 40 researchers across multiple institutions and hospitals in England supported by the Regional Thames Valley and Surrey Secure Data Environment team.

Our unit brings together patients, the public, researchers, and multi-disciplinary clinicians with a shared goal: to improve transfusion care. By accelerating the use of large-scale health data, we aim to optimise blood usage in clinical practice and improve patient outcomes.

Dataset type

Health and disease, Treatments/Interventions

Dataset population size

2047000

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

Combined (linked)

2047000

Count

30 Jun 2026

Persons

Oxford University Hospitals NHS Trust

901000

Count

29 Jun 2026

Persons

Hull University Teaching Hospitals

546000

Count

29 Jun 2026

Persons

University College London Hospital

600000

Count

29 Jun 2026

Provenance

Purpose of dataset collection

Statutory, Care, Audit

Source of data extraction

EPR, Other, LIMS

Collection source setting

Secondary care - Accident and Emergency, Secondary care - Outpatients, Secondary care - In-patients, Prescribing - Hospital, Secondary care - ICU

Image contrast

Not stated

Biological sample availability

None/not available

Details

Publishing frequency

Static

Version

1.0.0

Modified

30/06/2026

Coverage

Start date

01/01/2015

End date

01/03/2026

Time lag

Variable

Geographic coverage

National

Maximum age range

150

Follow-up

1 - 10 Years

Accessibility

Language

en

Alignment with standardised data models

NHS DATA DICTIONARY, OMOP

Controlled vocabulary

OPCS4, ICD10, NHS NATIONAL CODES, LOCAL, SNOMED CT, ODS, OTHER

Format

text/comma-separated-values

Data Access Request

Dataset pipeline status

Available

Time to dataset access

Variable

Access method category

TRE/SDE

Jurisdiction

UK

Data use limitation

No restriction

Data use requirements

Project-specific restrictions,User-specific restriction

Data Controller

Thames Valley and Surrey Secure Data Environment (SDE)

Data Processor

Thames Valley and Surrey Secure Data Environment (SDE)

Dataset Types: Health and disease, Treatments/Interventions

Dataset Sub-types: Maternity and neonatology,Cancer,Oral and gastrointestinal,Reproductive,Cardiovascular,Renal and urogenital, Therapeutic,Preventive


Collection Sources: Secondary care - Accident and Emergency, Secondary care - Outpatients, Secondary care - In-patients, Prescribing - Hospital, Secondary care - ICU

Relationships: