Predictive risk modelling using routine data: underexploited potential to benefit patients Huge amounts of data on individuals are now routinely collected electronically in the public sector in the UK. The NHS, as a single payer, can mandate data collection with a degree of consistency for almost the whole popu-lation of the UK, and creates one of the best sources of routinely collected data on health care in the world. These data are best for patient encounters in inpatient, outpatient and A&E settings, as well as the comprehen-sive coverage of people registered in general practice. As they have unique identifiers, with the right security mechanism in place to protect confidentiality,1 it is poss-ible to link records over time and acro...
This article reflects on the changing nature of health information access and the transition of focu...
A synthetic dataset of patient appointments, referrals, and journeys to a fictional service in the N...
If patients at risk of admission or readmission to hospital or other forms of care could be identifi...
Background: In the United Kingdom National Health Service (NHS), digital transformation programmes h...
The potential promise of ‘big data’ in the NHS has not been overhyped. However, cyber security and l...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
ABSTRACT Background Several Risk Prediction models exist for predicting emergency admissions. One...
In “the datafication era” the nature of data and the ways in which data is collected, processed, and...
Last year, a medical magazine article (Davies, 2013) drew early attention to the recent government p...
[First paragraph] One of the founding principles of the NHS is that it offers comprehensive, univers...
OBJECTIVES: To describe a novel England-wide electronic health record (EHR) resource enabling whole ...
OBJECTIVE: To describe a novel England-wide electronic health record (EHR) resource enabling whole p...
England is framed around clinical outcomes, safety and patient experience. A system of dashboards is...
© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. ...
The introduction of Information Governance throughout the NHS in Great Britain from 2004 ...
This article reflects on the changing nature of health information access and the transition of focu...
A synthetic dataset of patient appointments, referrals, and journeys to a fictional service in the N...
If patients at risk of admission or readmission to hospital or other forms of care could be identifi...
Background: In the United Kingdom National Health Service (NHS), digital transformation programmes h...
The potential promise of ‘big data’ in the NHS has not been overhyped. However, cyber security and l...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
ABSTRACT Background Several Risk Prediction models exist for predicting emergency admissions. One...
In “the datafication era” the nature of data and the ways in which data is collected, processed, and...
Last year, a medical magazine article (Davies, 2013) drew early attention to the recent government p...
[First paragraph] One of the founding principles of the NHS is that it offers comprehensive, univers...
OBJECTIVES: To describe a novel England-wide electronic health record (EHR) resource enabling whole ...
OBJECTIVE: To describe a novel England-wide electronic health record (EHR) resource enabling whole p...
England is framed around clinical outcomes, safety and patient experience. A system of dashboards is...
© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. ...
The introduction of Information Governance throughout the NHS in Great Britain from 2004 ...
This article reflects on the changing nature of health information access and the transition of focu...
A synthetic dataset of patient appointments, referrals, and journeys to a fictional service in the N...
If patients at risk of admission or readmission to hospital or other forms of care could be identifi...