Hospital Episode Statistics (HES) is an NHS database containing details of all admissions, A and E attendances and outpatient appointments at NHS hospitals in England.
This data is collected during a patient's time at hospital and submitted to NHS England for processing and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver.
IQVIA Ltd. receives a cut of HES data from NHS England and applies processes in accordance with the NHS England Data Sharing Agreement. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained. IQVIA Ltd. are the sole data processors under this agreement. HES data is collected in accordance with applicable data protection law. See further: https://digital.nhs.uk/about-nhs-digital/our-work/keeping-patient-data-safe/gdpr/gdpr-register/hospital-episode-statistics-gdpr/hospital-episode-statistics-hes-gdpr-information.
HES data provides non-identified details about patients and healthcare professionals dealing with clinical events that have taken place in hospital. These include:
In addition NHS England provide:
HES Data held by IQVIA Ltd. contains 5 years history data plus current year to date
HES data does NOT include any direct patient identifiers, such as names, addresses, NHS numbers, or full dates of birth.
This data may be processed and used for the purpose of medical research strictly to perform two types of service:
The Legal basis for processing of personal data relating to patient health is under Article 9(2)(j)of the GDPR – Processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject. The data subjects’ interests and fundamental rights are protected through appropriate minimisation of fields; protection of the data in a secure environment and guaranteeing secure destruction at any stage at the request of NHS Digital or after a defined period on completion of the project.
IQVIA Ltd. are processing the data in line with their goals as part of their legitimate interests. This is covered under the GDPR Article 6(1)(f) – This work is necessary for the purposes of the legitimate interests pursued by the controller except where such interests are overridden by the interests or fundamental rights and freedoms of the data subject which require protection of personal data, in particular where the data subject is a child. As set out in the legitimate interest assessment, the data requested is to help achieve the following examples:
Technical and organisation measures are in place to ensure only non-identified data is used.
This data is not used to populate automated decision-making tools.
The below is an extracted list of analyses that have taken place utilising HES as a data source. The work all uses data provided by patients and collected by the NHS as part of their care and support. Included are the specialty within which the analysis took place, the year it was delivered, and an outline of the approach and project objectives. Please contact ask@iqvia.com if you have any further questions.
Specialty of Care | Summary | Year |
Endocrinology | Characterising the system impact of a recently defined autoimmune disease to understand the unmet need of patients. This will enable improved system planning and lead to the opportunity to improve patient experience. | 2025 |
Oncology | Following on from national strategies to improve lung cancer outcomes, this analysis explored the variation in treatment delivery to lung cancer patients. This helps define the health system's readiness to improve care delivery that can lead to better patient outcomes. | 2024 |
Renal | Quantifying the early pathway portion of a rare renal disease, to define the diagnostic journey patients take. This can add on top of, and worsen, system capacity challenges within certain diagnostics and specialties. | 2024 |
Respiratory | Exploring the emergency, unscheduled, and non-elective care related to a respiratory disease to understand treatment variation. Part of this involves capturing different clinical delivery models to uncover where might benefit from cases for change. | 2024 |
Ophthalmology | Utilise longitudinal data to quantify an impactful disease without a defined diagnostic code. This analysis can uncover the holistic picture of patient interactions to enable local and national understanding. | 2024 |
Oncology | Highlight the challenges in certain narrowly prescribed implantation procedures within current guidance, to understand the scale of unmet need and the impact on patient experience. | 2024 |
Oncology | The measurable benefits to the health care sector of this project will be to clearly demonstrate at a national and system level, the health care resource utilisation for a certain type of oncology patients seeking care within the English secondary care setting. This analysis will highlight treatment variation for patients across England for novel and innovative therapies that are lagging in delivery compared to expected uptake. | 2024 |
Respiratory | Quantifying the impact of patients with a respiratory disease on the local healthcare system. | 2024 |
Dermatology | Identifying the capacity challenges seen in a defined specialty, to enable a system and national view and establish the case for change. | 2024 |
Oncology | Quantifying broader pathway contact and impact on care delivery for a defined transplantation cohort , to establish the delivery of best practice care | 2024 |
Respiratory | Exploring alternative models of care delivery for patients with a defined respiratory condition, by understanding the impact of current care delivery including costs and resources used. | 2024 |
Oncology | Understanding the volumes of novel and innovative best practice procedures for a challenged health group, to understand the need for changes in care delivery. | 2024 |
Dermatology | Exploring the treatment patterns experienced by patients with a defined dermatological condition, to identify if NICE uptake models and treatment options are constrained in the real world. | 2024 |
Dermatology | Understanding alternative care delivery models based on current capacity challenges seen in secondary care delivery of dermatology services. | 2024 |
Oncology | Quantifying the variation in access to treatment, including impacts on patient experience, to establish national local cases for change for patients with a defined oncology diagnosis. | 2024 |
Gastroenterology | Highlighting the impact of certain gastrointestinal patients on the system to establish variation in care delivery, and system capacity for change. | 2024 |
Endocrinology | Quantifying the system impact of patients based on an endocrinological disease that is managed across care settings. | 2024 |
Dermatology | Describing the variation in care delivery, based on patient characteristics or delivery mechanisms, for a dermatological condition that could benefit from alternative models of care delivery. | 2024 |
Dermatology | Variation in care and delivery for several dermatology conditions, including the resources used along the pathway. | 2024 |
Respiratory | Characterising the size of infectious respiratory disease patients to the health system, to form the basis of a case for change to the identification of patients and onward care impacts. | 2024 |
IQVIA Ltd. makes the non-identified data available to its employees that carry out research on behalf of other research groups, including:
The HES database is not used for commercial purposes such as sales targeting or commercial insurance.
There is no personal data transferred to other third countries or international organisations.
Data Retention:
IQVIA Ltd. retains data in accordance with UK Medical Research Council (MRC) guidelines which recommend basic research data and related material be retained for a minimum of 10 years after the study has been completed. This is to support good research practice which requires research studies to be reproducible.
Security:
IQVIA Ltd. has implemented an Information Security Management System. IQVIA Ltdare accredited to the ISO 27001 standard.
IQVIA Ltd. stores the HES data records on secure servers located in the UK. Appropriate security measures have been put in place to prevent unauthorised access to or disclosure of the HES data. Access to the data is strictly controlled and limited to authorised IQVIA Ltd. personnel.
Changes to this Notice:
We may update this notice from time to time. We encourage you to review this notice periodically to stay informed about how we are using and protecting HES data. Any changes to this notice take effect immediately after being posted or otherwise provided by us.
Contact Details:
Questions and comments regarding this notice should be addressed to Tanith Hjelmbjerg at IQVIA, The Point, 37 North Wharf Road, London, W2 1AF or emailed to our Data Protection Officer Barbara Bressolles at eu.dpo@iqvia.com If you have unresolved concerns, you also have the right to complain to the Information Commissioner´s Office website at https://ico.org.uk/.
About Us:
IQVIA Ltd. (“IQVIA/we/us/our”) is part of the IQVIA Inc. group of companies serving the combined industries of health information technologies and clinical research worldwide. We specialise in the provision of products and services including medical research and analytical solutions to healthcare and life sciences organisations. In the UK, IQVIA has collected and supported the research use of non-identified patient data for over 20 years.
We are registered in England and Wales as: IQVIA Ltd, registration number: 03022416 and our registered office is 3 Forbury Place, 23 Forbury Road, Reading, United Kingdom, RG1 3JH.