Quality assessment of real-world data repositories across the data life cycle: a literature review

ST Liaw, JGN Guo, S Ansari… - Journal of the …, 2021 - academic.oup.com
Objective Data quality (DQ) must be consistently defined in context. The attributes, metadata,
and context of longitudinal real-world data (RWD) have not been formalized for quality …

[HTML][HTML] Resilient Artificial Intelligence in Health: Synthesis and Research Agenda Toward Next-Generation Trustworthy Clinical Decision Support

C Sáez, P Ferri, JM García-Gómez - Journal of Medical Internet Research, 2024 - jmir.org
Artificial intelligence (AI)–based clinical decision support systems are gaining momentum by
relying on a greater volume and variety of secondary use data. However, the uncertainty …

Blockchain for data originality in pharma manufacturing

M Durá, F Leal, Á Sánchez-García, C Sáez… - Journal of …, 2023 - Springer
Purpose This paper analyses the feasibility of tracking data originality for pharmaceutical
manufacturing in a tamper-proof manner using a geographically distributed system. The …

[HTML][HTML] Quality of hospital electronic health record (EHR) data based on the international consortium for health outcomes measurement (ICHOM) in heart failure: pilot …

H Aerts, D Kalra, C Sáez… - JMIR medical …, 2021 - medinform.jmir.org
Background: There is increasing recognition that health care providers need to focus
attention, and be judged against, the impact they have on the health outcomes experienced …

Development and initial validation of a data quality evaluation tool in obstetrics real-world data through HL7-FHIR interoperable Bayesian networks and expert rules

J Coutinho-Almeida, C Saez, R Correia… - JAMIA …, 2024 - academic.oup.com
Background The increasing prevalence of electronic health records (EHRs) in healthcare
systems globally has underscored the importance of data quality for clinical decision-making …

Stability metrics for multi-source biomedical data based on simplicial projections from probability distribution distances

C Sáez, M Robles… - Statistical methods in …, 2017 - journals.sagepub.com
Biomedical data may be composed of individuals generated from distinct, meaningful
sources. Due to possible contextual biases in the processes that generate data, there may …

Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality

C Sáez, PP Rodrigues, J Gama, M Robles… - Data Mining and …, 2015 - Springer
Abstract Knowledge discovery on biomedical data can be based on on-line, data-stream
analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in …

What can millions of laboratory test results tell us about the temporal aspect of data quality? Study of data spanning 17 years in a clinical data warehouse

V Looten, LKW Chang, A Neuraz… - Computer Methods and …, 2019 - Elsevier
Objective To identify common temporal evolution profiles in biological data and propose a
semi-automated method to these patterns in a clinical data warehouse (CDW). Materials and …

Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

FJ Pérez-Benito, C Sáez, JA Conejero, S Tortajada… - Plos one, 2019 - journals.plos.org
Objective To evaluate the effects of Process-Reengineering interventions on the Electronic
Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal …

Costo-efectividad del rastreo de cáncer colorrectal en provincias argentinas seleccionadas

S Hasdeu, L Lamfre, J Altuna, S Torales… - Revista Argentina de …, 2017 - SciELO Argentina
INTRODUCCIÓN: El cáncer colorrectal (CCR) es una de las principales causas de
mortalidad en adultos. En Argentina es la segunda entre las neoplasias, y se observan …