Detecting systemic data quality issues in electronic health records

CN Ta, C Weng - MEDINFO 2019: Health and Wellbeing e …, 2019 - ebooks.iospress.nl
Secondary analysis of electronic health records for clinical research faces significant
challenges due to known data quality issues in health data observationally collected for …

Linking a consortium-wide data quality assessment tool with the MIRACUM metadata repository

LA Kapsner, JM Mang, S Mate… - Applied Clinical …, 2021 - thieme-connect.com
Background Many research initiatives aim at using data from electronic health records
(EHRs) in observational studies. Participating sites of the German Medical Informatics …

Patterns of organ dysfunction in critically ill children based on PODIUM criteria

LN Sanchez-Pinto, MM Bembea, RWD Farris… - …, 2022 - publications.aap.org
OBJECTIVES The goal of this study was to determine the incidence, prognostic
performance, and generalizability of the Pediatric Organ Dysfunction Information Update …

Towards a content agnostic computable knowledge repository for data quality assessment

NS Rajan, R Gouripeddi, P Mo, RK Madsen… - Computer methods and …, 2019 - Elsevier
Background and objective In recent years, several data quality conceptual frameworks have
been proposed across the Data Quality and Information Quality domains towards …

Using the data quality dashboard to improve the EHDEN network

C Blacketer, EA Voss, F DeFalco, N Hughes… - Applied Sciences, 2021 - mdpi.com
Federated networks of observational health databases have the potential to be a rich
resource to inform clinical practice and regulatory decision making. However, the lack of …

[HTML][HTML] Data quality-aware genomic data integration

A Bernasconi - Computer Methods and Programs in Biomedicine …, 2021 - Elsevier
Genomic data are growing at unprecedented pace, along with new protocols, update
polices, formats and guidelines, terminologies and ontologies, which are made available …

Use of data from various sources to evaluate and improve the prevention of mother‐to‐child transmission of HIV programme in Zimbabwe: a data integration exercise

EL Sibanda, K Webb, CA Fahey… - Journal of the …, 2020 - Wiley Online Library
Introduction Despite improvements in prevention of mother‐to‐child transmission (PMTCT)
of HIV outcomes, there remain unacceptably high numbers of mother‐to‐child transmissions …

Leveraging data science and novel technologies to develop and implement precision medicine strategies in critical care

LN Sanchez-Pinto, SV Bhavani… - Critical Care …, 2023 - criticalcare.theclinics.com
Heterogeneity is a pervasive feature of critical illness syndromes. Patients in the intensive
care unit (ICU) are injured or develop critical illness for a plethora of reasons. On any given …

Kinematics of big biomedical data to characterize temporal variability and seasonality of data repositories: functional data analysis of data temporal evolution over non …

C Sáez, JM García-Gómez - International journal of medical informatics, 2018 - Elsevier
Aim The increasing availability of Big Biomedical Data is leading to large research data
samples collected over long periods of time. We propose the analysis of the kinematics of …

Generative transfer learning for measuring plausibility of EHR diagnosis records

H Estiri, S Vasey, SN Murphy - Journal of the American Medical …, 2021 - academic.oup.com
Objective Due to a complex set of processes involved with the recording of health
information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis …