Literature DB >> 33967002

Health information technology and digital innovation for national learning health and care systems.

Aziz Sheikh1, Michael Anderson2, Sarah Albala3, Barbara Casadei4, Bryony Dean Franklin5, Mike Richards6, David Taylor7, Holly Tibble8, Elias Mossialos9.   

Abstract

Health information technology can support the development of national learning health and care systems, which can be defined as health and care systems that continuously use data-enabled infrastructure to support policy and planning, public health, and personalisation of care. The COVID-19 pandemic has offered an opportunity to assess how well equipped the UK is to leverage health information technology and apply the principles of a national learning health and care system in response to a major public health shock. With the experience acquired during the pandemic, each country within the UK should now re-evaluate their digital health and care strategies. After leaving the EU, UK countries now need to decide to what extent they wish to engage with European efforts to promote interoperability between electronic health records. Major priorities for strengthening health information technology in the UK include achieving the optimal balance between top-down and bottom-up implementation, improving usability and interoperability, developing capacity for handling, processing, and analysing data, addressing privacy and security concerns, and encouraging digital inclusivity. Current and future opportunities include integrating electronic health records across health and care providers, investing in health data science research, generating real-world data, developing artificial intelligence and robotics, and facilitating public-private partnerships. Many ethical challenges and unintended consequences of implementation of health information technology exist. To address these, there is a need to develop regulatory frameworks for the development, management, and procurement of artificial intelligence and health information technology systems, create public-private partnerships, and ethically and safely apply artificial intelligence in the National Health Service.
Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Year:  2021        PMID: 33967002     DOI: 10.1016/S2589-7500(21)00005-4

Source DB:  PubMed          Journal:  Lancet Digit Health        ISSN: 2589-7500


  12 in total

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Review 4.  Nursing informatics in undergraduate nursing education in Australia before COVID-19: A scoping review.

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5.  The effects of continuous care model using a smartphone application on adherence to treatment and self-efficacy among patients with multiple sclerosis.

Authors:  Seyed Mojtaba Kazemi; Mahnaz Rakhshan; Mozhgan Rivaz; Sadegh Izadi
Journal:  BMC Med Inform Decis Mak       Date:  2022-02-26       Impact factor: 2.796

6.  Unifying Diagnosis Identification and Prediction Method Embedding the Disease Ontology Structure From Electronic Medical Records.

Authors:  Jingfeng Chen; Chonghui Guo; Menglin Lu; Suying Ding
Journal:  Front Public Health       Date:  2022-01-20

7.  Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies.

Authors:  Tahereh Saheb; Elham Sabour; Fatimah Qanbary; Tayebeh Saheb
Journal:  Technol Soc       Date:  2022-03-19

8.  COVID-19 mortality in Italy varies by patient age, sex and pandemic wave.

Authors:  Francesca Minnai; Gianluca De Bellis; Tommaso A Dragani; Francesca Colombo
Journal:  Sci Rep       Date:  2022-03-17       Impact factor: 4.379

9.  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

Review 10.  Digital Facilitation to Support Patient Access to Web-Based Primary Care Services: Scoping Literature Review.

Authors:  Brandi Leach; Sarah Parkinson; Evangelos Gkousis; Gary Abel; Helen Atherton; John Campbell; Christopher Clark; Emma Cockcroft; Christine Marriott; Emma Pitchforth; Jon Sussex
Journal:  J Med Internet Res       Date:  2022-07-14       Impact factor: 7.076

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