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

被引:107
|
作者
Sheikh, Aziz [1 ]
Anderson, Michael [2 ]
Albala, Sarah [3 ]
Casadei, Barbara [4 ]
Franklin, Bryony Dean [5 ,6 ]
Richards, Mike [2 ,7 ]
Taylor, David [5 ]
Tibble, Holly [1 ]
Mossialos, Elias [2 ,8 ]
机构
[1] Univ Edinburgh, Coll Med & Vet Med, Usher Inst, Edinburgh EH16 4UX, Midlothian, Scotland
[2] London Sch Econ & Polit Sci, Dept Hlth Policy, London, England
[3] UCL, Inst Innovat & Publ Purpose, London, England
[4] Univ Oxford, John Radcliffe Hosp, NIHR Biomed Res Ctr, Radcliffe Dept Med,BHF Ctr Res Excellence, Oxford, England
[5] UCL, UCL Sch Pharm, London, England
[6] Imperial Coll Healthcare NHS Trust, NIHR Imperial Patient Safety Translat Res Ctr, London, England
[7] Hlth Fdn, London, England
[8] Imperial Coll London, Inst Global Hlth Innovat, London, England
来源
LANCET DIGITAL HEALTH | 2021年 / 3卷 / 06期
关键词
BIG DATA; MEDICINE;
D O I
10.1016/S2589-7500(21)00005-4
中图分类号
R-058 [];
学科分类号
摘要
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.
引用
收藏
页码:E383 / E396
页数:14
相关论文
共 50 条
  • [1] Catalysing health information technology innovation in the National Health Service
    Cresswell, Kathrin M.
    Sheikh, Aziz
    [J]. JOURNAL OF THE ROYAL SOCIETY OF MEDICINE, 2016, 109 (12) : 439 - 440
  • [2] Equity in the Age of Health Care Information Technology and Innovation Addressing the Digital Divide
    Mullangi, Samyukta
    Kaushal, Rainu
    Ibrahim, Said A.
    [J]. MEDICAL CARE, 2019, 57 (06) : S106 - S107
  • [3] Health Information Technology for Ambulatory Care in Health Systems
    Shi, Yunfeng
    Amill-Rosario, Alejandro
    Rudin, Robert S.
    Fischer, Shira H.
    Shekelle, Paul
    Scanlon, Dennis
    Damberg, Cheryl L.
    [J]. AMERICAN JOURNAL OF MANAGED CARE, 2020, 26 (01): : 32 - +
  • [4] Evaluation of Digital Health & Information Technology in Primary Care
    Liaw, Siaw-Teng
    Georgiou, Andrew
    Marin, Heimar
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2020, 144
  • [5] Innovation in health care through information technology (IT): The role of incentives
    Zweifel, Peter
    [J]. SOCIAL SCIENCE & MEDICINE, 2021, 289
  • [6] Health information technology as a learning health system: Call for a national monitoring system
    Colicchio, Tiago K.
    Del Fiol, Guilherme
    Cimino, James J.
    [J]. LEARNING HEALTH SYSTEMS, 2020, 4 (01):
  • [7] Biomedical information technology: medicine and health care in the digital future
    Laxminarayan, Swamy N.
    Coatrieux, Jean Louis
    Roux, Christian
    Finkelstein, Stanley M.
    Sahakian, Alan V.
    Blanchard, Susan M.
    [J]. IEEE Transactions on Information Technology in Biomedicine, 1997, 1 (01): : 1 - 7
  • [8] Digital Nursing and Health Care Innovation
    Fotis, Theofanis
    [J]. JOURNAL OF PERIANESTHESIA NURSING, 2022, 37 (01) : 3 - 4
  • [9] Factors affecting information technology transfer and innovation diffusion in health care
    Ash, J
    Goslin, LN
    [J]. INNOVATION IN TECHNOLOGY MANAGEMENT - THE KEY TO GLOBAL LEADERSHIP: THE KEY TO GLOBAL LEADERSHIP, 1997, : 751 - 754
  • [10] The Critical Role of Hospital Information Systems in Digital Health Innovation Projects
    Scheplitz, Tim
    Kaczmarek, Stefanie
    Benedict, Martin
    [J]. 2019 IEEE 21ST CONFERENCE ON BUSINESS INFORMATICS (CBI), VOL 1, 2019, : 512 - 521