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

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...

New Medical AI Tool Identifies more Case…

Investigators at Mass General Brigham have developed an AI-based tool to sift through electronic health records to help clinicians identify cases of long COVID, an often mysterious condition that can...

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

Jane Stephenson Joins SPARK TSL as Chief…

Jane Stephenson has joined SPARK TSL as chief executive as the company looks to establish the benefits of SPARK Fusion with trusts looking for deployable solutions to improve productivity. Stephenson joins...

NIH-Developed AI Algorithm Successfully …

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical research trials...

Heart Attacks could be Ruled Out Early w…

As many as 60% of people presenting to emergency departments around the world with heart attack symptoms could be safely sent home, many at earlier stages, with the support of...

MEDICA 2024 and COMPAMED 2024: Medical T…

11 - 14 November 2024, Düsseldorf, Germany. "Meet Health. Future. People." is MEDICA's campaign motto for the future in the new trade fair year 2025. The aptness of the motto...

Northern Ireland's Laboratory Servi…

The transformation of pathology services across Northern Ireland has achieved another milestone, with the completion of phase three of the CoreLIMS programme to deploy Clinisys WinPath to all five health...

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...