Katie Wilde
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View article: Privacy-Aware, Public-Aligned: Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments
Privacy-Aware, Public-Aligned: Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments Open
Clinical free-text data offers immense potential to improve population health research such as richer phenotyping, symptom tracking, and contextual understanding of patient care. However, these data present significant privacy risks due to…
Semi-automated data provenance tracking for transparent data production and linkage to enhance auditing and quality assurance in Trusted Research Environments Open
IntroductionWe present a prototype solution for improving transparency and quality assurance of the data linkage process through data provenance tracking designed to assist Data Analysts, researchers and information governance teams in aut…
Improving transparency and quality assurance: Operationalising semi-automated data provenance tracking in a Trusted Research Environment Open
We present a prototype solution for improving transparency and quality assurance of the data linkage process through a data provenance dashboard designed to assist data analysts, researchers and information governance teams in authenticati…
A governance framework for facilitating cross-agency data sharing Open
Linking data across local authorities and health boards has the potential to reduce inequalities and improve outcomes. However, cross-agency data sharing leads to complexities around data ownership, legal conditions for processing, organis…
Federating governance, access and infrastructure to support researcher use of synthetic data Open
Synthetic Data has the potential to improve efficiency of data analysis for researchers. However, there is no standard approach to synthetic data governance, access controls or infrastructure requirements, and researchers may face inconsis…
Service and clinical impacts of reader bias in breast cancer screening: a retrospective study Open
Objectives To determine factors influencing reader agreement in breast screening and investigate the relationship between agreement level and patient outcomes. Methods Reader pair agreement for 83 265 sets of mammograms from the Scottish B…
View article: Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes
Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes Open
Importance Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US. Objective To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based …
Impact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening Open
Artificial intelligence (AI) tools may assist breast screening mammography programs, but limited evidence supports their generalizability to new settings. This retrospective study used a 3-year dataset (April 1, 2016-March 31, 2019) from a…
A profile of the Grampian Data Safe Haven, a regional Scottish safe haven for health and population data research Open
There has been a recent emphasis to establish and codify large-scale or national Trusted Research Environments (TREs) in the United Kingdom, with a view to limit smaller, local TREs. The basis for this argument is that it avoids duplicatio…
Introducing a new Trusted Research Environment - the Safe Haven Artificial Platform (SHAIP). Open
ObjectivesScotland has an established Trusted Research Environment (TREs) through the Scottish Safe Haven Network. These Safe Havens traditionally service structured datasets, however, researchers increasingly require access to large multi…
View article: Use of “Hidden in Plain Sight” de-identification methodology in electronic healthcare data provides minimal risk of misidentification: Results from the iCAIRD Safe Haven Artificial Intelligence Platform.
Use of “Hidden in Plain Sight” de-identification methodology in electronic healthcare data provides minimal risk of misidentification: Results from the iCAIRD Safe Haven Artificial Intelligence Platform. Open
ObjectivesTo determine the risk of misidentification when using a “Hidden In Plain Sight (HIPS)” Named Entity Recognition (NER) de-identification methodology applied to Scottish healthcare data within The Industrial Centre for Artificial I…
Towards a Scottish Safe Haven Federation. Open
ObjectivesBuilding upon the Scottish Safe Haven Network’s (SSHN) collaborative experience to develop an exemplar dataset on Scottish national level laboratory tests within the SSHN. To test the feasibility of a federated safe haven network…
View article: Data provenance tracking and reporting in a high-security digital research environment.
Data provenance tracking and reporting in a high-security digital research environment. Open
ObjectiveTo protect privacy, routinely-collected data are processed and anonymised by third parties before being used for research. However, the methods used to do this are rarely shared, leaving the resulting research difficult to evaluat…
View article: The clinically extremely vulnerable to COVID: Identification and changes in healthcare while self-isolating (shielding) during the coronavirus pandemic.
The clinically extremely vulnerable to COVID: Identification and changes in healthcare while self-isolating (shielding) during the coronavirus pandemic. Open
ObjectiveIn March 2020, Scottish government identified people clinically extremely vulnerable to COVID due to pre-existing health conditions. These people were advised to strictly self-isolate (shield) at home. We examined who was identifi…
The path to approvals: Facilitating access to healthcare data via a local Governance Forum. Open
ObjectivesResearch using unconsented healthcare data has the potential to have significant public benefit in terms of improved health outcomes. However, due to the sensitive nature of this data, appropriate governance, approvals, and mitig…
View article: Inequalities in children’s mental health prescribing and referrals for specialist mental health services.
Inequalities in children’s mental health prescribing and referrals for specialist mental health services. Open
Objective1 in 8 young people in the United Kingdom are estimated to have a diagnosable mental health condition. Prevalence is increasing over time, many are untreated, and need is not evenly distributed across the population. We aimed to i…
View article: Inequalities in children’s mental health care: analysis of routinely collected data on prescribing and referrals to secondary care
Inequalities in children’s mental health care: analysis of routinely collected data on prescribing and referrals to secondary care Open
Background One in eight children in the United Kingdom are estimated to have a mental health condition, and many do not receive support or treatment. The COVID-19 pandemic has negatively impacted mental health and disrupted the delivery of…
A National Network of Safe Havens: Scottish Perspective Open
For over a decade, Scotland has implemented and operationalized a system of Safe Havens, which provides secure analytics platforms for researchers to access linked, deidentified electronic health records (EHRs) while managing the risk of u…
View article: The clinically extremely vulnerable to COVID: Identification and changes in healthcare while self-isolating (shielding) during the coronavirus pandemic
The clinically extremely vulnerable to COVID: Identification and changes in healthcare while self-isolating (shielding) during the coronavirus pandemic Open
Background In March 2020, the government of Scotland identified people deemed clinically extremely vulnerable to COVID due to their pre-existing health conditions. These people were advised to strictly self-isolate (shield) at the start of…
A National Network of Safe Havens: Scottish Perspective (Preprint) Open
UNSTRUCTURED For over a decade, Scotland has implemented and operationalized a system of Safe Havens, which provides secure analytics platforms for researchers to access linked, deidentified electronic health records (EHRs) while managing …
Do patients have worse outcomes in heart failure than in cancer? A primary care‐based cohort study with 10‐year follow‐up in Scotland Open
Aims This study was designed to evaluate whether survival rates in patients with heart failure ( HF ) are better than those in patients with diagnoses of the four most common cancers in men and women, respectively, in a contemporary primar…
Data Resource Profile: The Aberdeen Maternity and Neonatal Databank (AMND) Open
Conflict of interest: None of the authors have any conflict of interest.