Adult Psychiatric Morbidity Survey (APMS) – data on treated and untreated adult psychiatric disorders in England
The Adult Psychiatric Morbidity Survey (APMS) series provides data on the prevalence of both treated and untreated psychiatric disorders in the English adult population (aged 16 and over).
BioYODIE and SemEHR – text analytics providing new access to health data in unstructured part of medical records
BioYODIE and SemEHR are a unique information extraction and semantic search system developed by researchers at King’s College London’s Institute of Psychiatry, Psychology & Neuroscience. BioYODIE and SemEHR use state-of-the-art text mining techniques to access and analyse information contained in the unstructured part of medical records (eg, about patients’ experiences and history), and have both been adopted into the information and retrieval platform CogStack. Until now, most of this data has been inaccessible. By unlocking the entire electronic health record, these tools can aid clinical decision making, generate data for research, and speed up recruitment to clinical trials.
- Find out more about BioYODIE and SemEHR
- Find out more about CogStack
- Email: firstname.lastname@example.org
Clinical Practice Research Datalink (CPRD) – anonymised patient data from a network of GP practices in the UK
CPRD is a real-world research service supporting retrospective and prospective public health and clinical studies. It collects de-identified patient data from a network of GP practices across the UK. Primary care data are linked to a range of other health related data to provide a longitudinal, representative UK population health dataset – encompassing 50 million patients, including 16 million registered patients.
Clinical Record Interactive Search (CRIS) – anonymised information extracted from SLaM electronic clinical records
The Clinical Record Interactive Search (CRIS) system has been developed for use within the NIHR Maudsley Biomedical Research Centre (BRC). CRIS provides authorised researchers with regulated, secure access to anonymised information extracted from South London and Maudsley NHS Foundation Trust electronic clinical records system. CRIS helps researchers to look at real-life situations on a large scale. This means it's easier to see patterns and trends, like what treatments work for some and don't work for others.
Consent for Contact (C4C) – SLaM register of people interested in taking part in mental health research
C4C is a register of people who would be willing for researchers to contact them to ask if they would like to take part in research that contributes to better health for people with mental health-related problems. C4C is run by the South London and Maudsley NHS Foundation Trust.
Integrating mental and physical healthcare: research training and services (IMPARTS) – access to KHP patient outcome data
IMPARTS is a King’s Health Partners (KHP) initiative designed to bring together mental and physical healthcare in general hospital settings. The IMPARTS package has been developed to improve the support available for patients experiencing psychological distress such as anxiety, low mood or depression, and receiving treatment for a physical health condition.
Patients attending KHP trusts are asked to answer a series of questions about their health using a tablet-based screening platform before their appointment. The questions include patient-reported data on smoking, depression and anxiety symptoms, along with others tailored to the patient group. The results are added to the patient’s electronic health record.
Researchers at King's College London can use this information for research: for example, auditing clinical practice against local and national standards; evaluating patterns of service usage and demographic trends to inform commissioning; and hypothesis-driven observational research.
- Find out more about IMPARTS
- More about IMPARTS and research
- List of IMPARTS publications
- Email: email@example.com or firstname.lastname@example.org
King's Electronic Patient Record Interface (KERRI)
Recognising avoidable hospitalisations is an important first step to transforming hospital end of life care and reducing the current, and projected, future strain on hospitals. The KERRI project explores the potential of using patient electronic health records from the King's Electronic Patient Record Interface (KERRI) combined with techniques from a branch of data science known as natural language processing (NLP) to identify and predict avoidable end of life hospitalisations.
Lambeth Datanet – anonymised GP patient records in Lambeth
Lambeth DataNet (LDN) is an anonymised case register of GP patient records in Lambeth aimed at obtaining anonymous information to help plan and improve healthcare services.
London Datastore – free data-sharing portal for London
The London Datastore is a free and open data-sharing portal where anyone can access data relating to the capital.
National Cancer Data Repository – dataset of English cancer registration data linked to Hospital Episode Statistics
The National Cancer Data Repository consists of tumour-level records submitted to Office of National Statistics (ONS) by the England Cancer Registries together with a further sub-set of data covering additional data fields required for analysis purposes.
National Maternity and Perinatal Audit (NMPA) – a large scale audit of NHS maternity services
The NMPA is a large-scale audit of the NHS maternity services across England, Scotland and Wales. It aims to support improvements in the care for women and babies by providing national figures and enabling comparison between maternity services.
National Neonatal Research Database (NNRD)
The NNRD was created through the collaboration of neonatal services across the country, and is used by researchers, clinicians, managers, and commissioners. The NNRD was developed by the Neonatal Data Analysis Unit at Imperial College London, led by Professor Neena Modi. The NNDR draws data from BadgerNet, a continuous care record for neonatal and paediatric care in the UK.
THIN: a medical data collection scheme – primary care database containing anonymised longitudinal patient records
The Health Improvement Network (THIN) is a medical data collection scheme that collects anonymised patient data from its members. Its aim is to enable advances in patient care and outcomes by assisting healthcare technology companies, authorities, academics and research organisations with healthcare research and analysis. THIN’s UK primary care database contains anonymised longitudinal patient records for around 6% of the UK population.
Contact details for THIN:
UK Biobank – access to health data from 500,000 volunteers
UK Biobank is a national and international health resource aimed at improving the prevention, diagnosis and treatment of a wide range of serious and life-threatening illnesses – including cancer, heart diseases, stroke, diabetes, arthritis, osteoporosis, eye disorders, depression and forms of dementia. It follows the health and well-being of 500,000 volunteer participants and provides non-identifiable health information to approved researchers in the UK and overseas, from academia and industry.