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. 2020 Jul 28;27(2):e100124. doi: 10.1136/bmjhci-2019-100124

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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Emerging thinking around a co-ordinated technical architecture, underpinned by assurance for safety, quality, ethics, information governance and information security. This brings together decision support from dispersed organisations to deliver consistent high-quality care to individual patients across all stages of their journey. For example, a patient with low back pain may need knowledge-based decision support for self-management, prescribing, other therapies and referral management in primary care, as well as rules-based imaging requesting and data-driven AI decision support to interpret imaging results in secondary care.