[HTML][HTML] Surgical data science–from concepts toward clinical translation
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
[HTML][HTML] High-quality health systems in the Sustainable Development Goals era: time for a revolution
Executive summary Although health outcomes have improved in low-income and middle-
income countries (LMICs) in the past several decades, a new reality is at hand. Changing …
income countries (LMICs) in the past several decades, a new reality is at hand. Changing …
Data and information quality
C Batini, M Scannapieco - Cham, Switzerland: Springer International …, 2016 - Springer
This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
[HTML][HTML] Defining and measuring completeness of electronic health records for secondary use
We demonstrate the importance of explicit definitions of electronic health record (EHR) data
completeness and how different conceptualizations of completeness may impact findings …
completeness and how different conceptualizations of completeness may impact findings …
Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R
CO Schmidt, S Struckmann, C Enzenbach… - BMC medical research …, 2021 - Springer
Background No standards exist for the handling and reporting of data quality in health
research. This work introduces a data quality framework for observational health research …
research. This work introduces a data quality framework for observational health research …
Opioid overdoses involving xylazine in emergency department patients: a multicenter study
Introduction Illicit opioids, consisting largely of fentanyl, novel synthetic opioids, and
adulterants, are the primary cause of drug overdose fatality in the United States. Xylazine, an …
adulterants, are the primary cause of drug overdose fatality in the United States. Xylazine, an …
Registry-based randomized controlled trials-what are the advantages, challenges, and areas for future research?
Registry-based randomized controlled trials are defined as pragmatic trials that use
registries as a platform for case records, data collection, randomization, and follow-up …
registries as a platform for case records, data collection, randomization, and follow-up …
Effectiveness of recommendations to prevent reactivation of latent tuberculosis infection in patients treated with tumor necrosis factor antagonists
Objective To investigate the impact of official recommendations regarding the management
of latent tuberculosis (TB) infection on the rate of active TB in patients receiving treatment …
of latent tuberculosis (TB) infection on the rate of active TB in patients receiving treatment …
Treatment decisions in multiple sclerosis—insights from real-world observational studies
The complexity of multiple sclerosis (MS) treatment means that doctors and decision-makers
need the best available evidence to make the best decisions for patient care. Randomized …
need the best available evidence to make the best decisions for patient care. Randomized …
A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research
Methods: We propose a “fit-for-use” conceptual model for data quality assessment and a
process model for planning and conducting single-site and multisite data quality …
process model for planning and conducting single-site and multisite data quality …