The Impact of eHealth on the Quality & Safety of Healthcare

The Impact of eHealth on the Quality & Safety of HealthcareA Systemic Overview & Synthesis of the Literature
Report for the NHS Connecting for Health Evaluation Programme
Josip Car, Ashly Black, Chantelle Anandan, Kathrin Cresswell, Claudia Pagliari, Brian McKinstry, Rob Procter, Azeem Majeed and Aziz Sheikh
- There have been substantial developments in information technology hardware and software capabilities over recent decades and there is now considerable potential to apply these technological developments in relation to aspects of healthcare provision.

- Of particular international interest is the deployment of eHealth applications - that is the use of information technology in healthcare contexts - with a view to improving the quality, safety and efficiency of healthcare.

- Whilst these eHealth technologies have considerable potential to aid professionals in delivering healthcare, the use of these new technologies may also introduce significant new unanticipated risks to patients.

- Also of concern is that even when high quality interventions are developed, they frequently fail to live up to their potential when deployed in the "real world"; a major factor contributing to this paradox is professional resistance to the introduction and use of poorly designed applications.

- Given that the NHS is now committed to the largest eHealth-based modernisation programme in the world, it is appropriate and timely to critically review the international eHealth literature with a view to identifying lessons that can usefully be learnt with respect to the future development, design, deployment and evaluation of eHealth applications.

Download The Impact of eHealth on the Quality & Safety of Healthcare (.pdf, 7.220 KB).

Download from the eHealthNews.EU Portal's mirror: The Impact of eHealth on the Quality & Safety of Healthcare (.pdf, 7.220 KB).

List of authors:

  • Dr Chantelle Anandan, Research Fellow
    Division of Community Health Sciences: GP Section
    University of Edinburgh
  • Ashly D. Black, Research Assistant
    eHealth Unit, Department of Primary Care and Social Medicine
    Imperial College London
  • Dr Josip Car, Director of eHealth Unit
    eHealth Unit, Department of Primary Care and Social Medicine
    Imperial College London
  • Kathrin Cresswell, Research Associate
    Division of Community Health Sciences: GP Section
    University of Edinburgh
  • Professor Azeem Majeed, Professor of Primary Care and Head of Department
    Department of Primary Care and Social Medicine
    Imperial College London
  • Dr Brian McKinstry, Clinical Senior Research Fellow
    Division of Community Health Sciences: GP Section
    University of Edinburgh
  • Dr Claudia Pagliari, Senior Lecturer in Primary Care and Chair of eHealth Group
    Division of Community Health Sciences: GP Section
    University of Edinburgh
  • Professor Rob Procter, Currently on Secondment as Research Director
    National Centre for e-Social Science, Manchester
    School of Informatics, University of Edinburgh
  • Professor Aziz Sheikh, Professor of Primary Care Research & Development
    Division of Community Health Sciences: GP Section
    University of Edinburgh

Correspondence to:
Professor Aziz Sheikh, Professor of Primary Care Research & Development, Division of Community Health Sciences: GP Section, University of Edinburgh, 20 West Richmond Street Edinburgh EH8 9DX

For further information, please visit:

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...