Robertson, Ann R, Nurmatov, Ulugbek ORCID: https://orcid.org/0000-0002-9557-8635, Sood, Harpreet, Cresswell, Kathrin, Smith, Pam and Sheikh, Aziz 2016. A systematic scoping review of the domains and innovations in secondary uses of digitised health-related data. Journal of innovation in health informatics 23 (3) , pp. 611-619. 10.14236/jhi.v23i3.841 |
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Abstract
Background: Substantial investments are being made in health information technology (HIT) based on assumptions that these systems will save costs through increased quality, safety and efficiency of care provision. Whilst short-term benefits have often proven difficult to demonstrate, there is increasing interest in achieving benefits in the medium and long term through secondary uses of HIT-derived data. Aims: We aimed to describe the range of secondary uses of HIT-derived data in the international literature and identify innovative developments of particular relevance to UK policymakers and managers. Methods: We searched nine electronic databases to conduct a systematic scoping review of the international literature and augmented this by consulting a range of experts in the field. Results: Reviewers independently screened 16,806 titles, resulting in 583 eligible studies for inclusion. Thematic organisation of reported secondary uses was validated during expert consultation (n = 23). A primary division was made between patient-identifiable data and datasets in which individuals were not identified. Secondary uses were then categorised under four domain headings of: i) research; ii) quality and safety of care provision; iii) financial management; and iv) healthcare professional education. We found that innovative developments were most evident in research where, in particular, dataset linkage studies offered important opportunities for exploitation. Conclusions: Distinguishing patient-identifiable data from aggregated, de-identified datasets gives greater conceptual clarity in secondary uses of HIT-derived data. Secondary uses research has substantial potential for realising future benefits through generating new medical knowledge from dataset linkage studies, developing precision medicine and enabling cross-sectoral, evidence-based policymaking to benefit population-level well-being.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine |
Publisher: | BCS |
ISSN: | 2058-4563 |
Date of First Compliant Deposit: | 23 August 2017 |
Date of Acceptance: | 10 October 2016 |
Last Modified: | 16 Nov 2024 15:00 |
URI: | https://orca.cardiff.ac.uk/id/eprint/103905 |
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