[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 …
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Despite major advances in artificial intelligence (AI) for medicine and healthcare, the
deployment and adoption of AI technologies remain limited in real-world clinical practice. In …
deployment and adoption of AI technologies remain limited in real-world clinical practice. In …
[HTML][HTML] Development and validation of the radiology common data model (R-CDM) for the international standardization of medical imaging data
Purpose Digital Imaging and Communications in Medicine (DICOM), a standard file format
for medical imaging data, contains metadata describing each file. However, metadata are …
for medical imaging data, contains metadata describing each file. However, metadata are …
Exploring the potential of OMOP common data model for process mining in healthcare
Background and objective Recently, Electronic Health Records (EHR) are increasingly
being converted to Common Data Models (CDMs), a database schema designed to provide …
being converted to Common Data Models (CDMs), a database schema designed to provide …
Transforming French electronic health records into the Observational Medical Outcome Partnership's common data model: a feasibility study
A Lamer, N Depas, M Doutreligne… - Applied clinical …, 2020 - thieme-connect.com
Background Common data models (CDMs) enable data to be standardized, and facilitate
data exchange, sharing, and storage, particularly when the data have been collected via …
data exchange, sharing, and storage, particularly when the data have been collected via …
[HTML][HTML] EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes
The adoption of electronic health records (EHRs) has created opportunities to analyse
historical data for predicting clinical outcomes and improving patient care. However, non …
historical data for predicting clinical outcomes and improving patient care. However, non …
Development and validation of the SickKids Enterprise-wide Data in Azure Repository (SEDAR)
LL Guo, M Calligan, E Vettese, S Cook, G Gagnidze… - Heliyon, 2023 - cell.com
Objectives To describe the processes developed by The Hospital for Sick Children
(SickKids) to enable utilization of electronic health record (EHR) data by creating …
(SickKids) to enable utilization of electronic health record (EHR) data by creating …
Big data analytics and processing platform in Czech Republic healthcare
Big data analytics (BDA) in healthcare has made a positive difference in the integration of
Artificial Intelligence (AI) in advancements of analytical capabilities, while lowering the costs …
Artificial Intelligence (AI) in advancements of analytical capabilities, while lowering the costs …
Learning from conect4children: A Collaborative Approach towards Standardisation of Disease-Specific Paediatric Research Data
The conect4children (c4c) initiative was established to facilitate the development of new
drugs and other therapies for paediatric patients. It is widely recognised that there are not …
drugs and other therapies for paediatric patients. It is widely recognised that there are not …
Can we rely on results from IQVIA medical research data UK converted to the observational medical outcome partnership common data model? A validation study …
G Candore, K Hedenmalm, J Slattery… - Clinical …, 2020 - Wiley Online Library
Exploring and combining results from more than one real‐world data (RWD) source might
be necessary in order to explore variability and demonstrate generalizability of the results or …
be necessary in order to explore variability and demonstrate generalizability of the results or …