Ann R R Robertson1, Ulugbek Nurmatov2, Harpreet S Sood3, Kathrin Cresswell4, Pam Smith5, Aziz Sheikh6. 1. The University of Edinburgh. A.R.R.Robertson@ed.ac.uk. 2. The University of Edinburgh. uNurmatov@dresourcesgroup.com. 3. National Health Service (NHS) England, London. harpreet.sood@gmail.com. 4. The University of Edinburgh. Kathrin.Beyer@ed.ac.uk. 5. The University of Edinburgh. Pam.Smith@ed.ac.uk. 6. The University of Edinburgh. Aziz.Sheikh@ed.ac.uk.
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.
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.
Entities:
Keywords:
health services research; medical informatics; systematic scoping review
Authors: Teresa Zayas-Cabán; Kevin J Chaney; Courtney C Rogers; Joshua C Denny; P Jon White Journal: J Am Med Inform Assoc Date: 2021-06-12 Impact factor: 4.497