Detecting systemic data quality issues in electronic health records
Secondary analysis of electronic health records for clinical research faces significant
challenges due to known data quality issues in health data observationally collected for …
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 …
(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 …
performance, and generalizability of the Pediatric Organ Dysfunction Information Update …
Towards a content agnostic computable knowledge repository for data quality assessment
Background and objective In recent years, several data quality conceptual frameworks have
been proposed across the Data Quality and Information Quality domains towards …
been proposed across the Data Quality and Information Quality domains towards …
Using the data quality dashboard to improve the EHDEN network
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 …
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 …
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 …
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 …
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 …
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
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 …
information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis …