[HTML][HTML] Common problems, common data model solutions: evidence generation for health technology assessment
There is growing interest in using observational data to assess the safety, effectiveness, and
cost effectiveness of medical technologies, but operational, technical, and methodological …
cost effectiveness of medical technologies, but operational, technical, and methodological …
Medical data quality assessment: On the development of an automated framework for medical data curation
Data quality assessment has gained attention in the recent years since more and more
companies and medical centers are highlighting the importance of an automated framework …
companies and medical centers are highlighting the importance of an automated framework …
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
Objective In response to COVID-19, the informatics community united to aggregate as much
clinical data as possible to characterize this new disease and reduce its impact through …
clinical data as possible to characterize this new disease and reduce its impact through …
Quality assessment of real-world data repositories across the data life cycle: a literature review
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 …
and context of longitudinal real-world data (RWD) have not been formalized for quality …
[HTML][HTML] Information quality frameworks for digital health technologies: systematic review
Background Digital health technologies (DHTs) generate a large volume of information used
in health care for administrative, educational, research, and clinical purposes. The clinical …
in health care for administrative, educational, research, and clinical purposes. The clinical …
Ensuring electronic medical record simulation through better training, modeling, and evaluation
Abstract Objective Electronic medical records (EMRs) can support medical research and
discovery, but privacy risks limit the sharing of such data on a wide scale. Various …
discovery, but privacy risks limit the sharing of such data on a wide scale. Various …
Joint imaging platform for federated clinical data analytics
PURPOSE Image analysis is one of the most promising applications of artificial intelligence
(AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases …
(AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases …
Incident heart failure, arrhythmias and cardiovascular outcomes with sodium‐glucose cotransporter 2 (SGLT2) inhibitor use in patients with diabetes: Insights from a …
AM Fawzy, JM Rivera‐Caravaca… - Diabetes, Obesity …, 2023 - Wiley Online Library
Aim To investigate the impact of sodium‐glucose cotransporter 2 (SGLT2) inhibitors on the
risk of incident heart failure and adverse cardiovascular outcomes. Methods All patients with …
risk of incident heart failure and adverse cardiovascular outcomes. Methods All patients with …
Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience
Objective Large clinical databases are increasingly used for research and quality
improvement. We describe an approach to data quality assessment from the General …
improvement. We describe an approach to data quality assessment from the General …
Cardiovascular care innovation through data-driven discoveries in the electronic health record
The electronic health record (EHR) represents a rich source of patient information,
increasingly being leveraged for cardiovascular research. Although its primary use remains …
increasingly being leveraged for cardiovascular research. Although its primary use remains …