Literature DB >> 28166675

The UK's National Programme for IT: Why was it dismantled?

Taghreed Justinia1.   

Abstract

This paper discusses the UK's National Programme for IT (NPfIT), which was an ambitious programme launched in 2002 with an initial budget of some £6.2 billion. It attempted to implement a top-down digitization of healthcare in England's National Health Service (NHS). The core aim of the NPfIT was to bring the NHS' use of information technology into the 21st century, through the introduction of an integrated electronic patient record systems, and reforming the way that the NHS uses information, and hence to improve services and the quality of patient care. The initiative was not trusted by doctors and appeared to have no impact on patient safety. The project was marred by resistance due to the inappropriateness of a centralized authority making top-down decisions on behalf of local organizations. The NPfIT was officially dismantled in September 2011. Deemed the world's largest civil IT programme, its failure and ultimate demise sparked a lot of interest as to the reasons why. This paper summarises the underlying causes that lead to dismantling the NPfIT. At the forefront of those circumstances were the lack of adequate end user engagement, the absence of a phased change management approach, and underestimating the scale of the project.

Entities:  

Keywords:  NHS; change management; electronic patient records; health informatics; healthcare information systems; medical information systems

Mesh:

Year:  2016        PMID: 28166675     DOI: 10.1177/0951484816662492

Source DB:  PubMed          Journal:  Health Serv Manage Res        ISSN: 0951-4848


  9 in total

1.  Validation of an e-health readiness assessment framework for developing countries.

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2.  Developing a UK registry to investigate the role of cardiovascular magnetic resonance (CMR) in patients who activate the primary percutaneous coronary intervention (PPCI) pathway: a multicentre, feasibility study linking routinely collected electronic patient data.

Authors:  Rachel C Brierley; Maria Pufulete; Jessica Harris; Chiara Bucciarelli-Ducci; John P Greenwood; Stephen Dorman; Richard Anderson; Chris A Rogers; Barnaby C Reeves
Journal:  BMJ Open       Date:  2018-03-01       Impact factor: 2.692

3.  Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse.

Authors:  Robert A Verheij; Vasa Curcin; Brendan C Delaney; Mark M McGilchrist
Journal:  J Med Internet Res       Date:  2018-05-29       Impact factor: 5.428

4.  Improving data sharing between acute hospitals in England: an overview of health record system distribution and retrospective observational analysis of inter-hospital transitions of care.

Authors:  Leigh R Warren; Jonathan Clarke; Sonal Arora; Ara Darzi
Journal:  BMJ Open       Date:  2019-12-05       Impact factor: 2.692

5.  Achieving Spread, Scale Up and Sustainability of Video Consulting Services During the COVID-19 Pandemic? Findings From a Comparative Case Study of Policy Implementation in England, Wales, Scotland and Northern Ireland.

Authors:  Sara E Shaw; Gemma Hughes; Joseph Wherton; Lucy Moore; Rebecca Rosen; Chrysanthi Papoutsi; Alex Rushforth; Joanne Morris; Gary W Wood; Stuart Faulkner; Trisha Greenhalgh
Journal:  Front Digit Health       Date:  2021-12-20

6.  Evaluating the impact of a digital leadership programme on national digital priorities: a mixed methods study.

Authors:  Amish Acharya; Ruth Claire Black; Alisdair Smithies; Ara Darzi
Journal:  BMJ Open       Date:  2022-04-29       Impact factor: 2.692

7.  Which Electronic Health Record System Should We Use? A Systematic Review.

Authors:  Mohammed Al Ani; George Garas; James Hollingshead; Drostan Cheetham; Thanos Athanasiou; Vanash Patel
Journal:  Med Princ Pract       Date:  2022-05-18       Impact factor: 2.132

8.  Digital health Systems in Kenyan Public Hospitals: a mixed-methods survey.

Authors:  Naomi Muinga; Steve Magare; Jonathan Monda; Mike English; Hamish Fraser; John Powell; Chris Paton
Journal:  BMC Med Inform Decis Mak       Date:  2020-01-06       Impact factor: 2.796

Review 9.  Why does the NHS struggle to adopt eHealth innovations? A review of macro, meso and micro factors.

Authors:  Sheena Asthana; Ray Jones; Rod Sheaff
Journal:  BMC Health Serv Res       Date:  2019-12-21       Impact factor: 2.655

  9 in total

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