[HTML][HTML] Combining digital and molecular approaches using health and alternate data sources in a next-generation surveillance system for anticipating outbreaks of …

PIP Ramos, I Marcilio, AI Bento, GO Penna… - JMIR public health and …, 2024 - jmir.org
Globally, millions of lives are impacted every year by infectious diseases outbreaks.
Comprehensive and innovative surveillance strategies aiming at early alert and timely …

IncidencePrevalence: An R package to calculate population‐level incidence rates and prevalence using the OMOP common data model

B Raventós, M Català, M Du, Y Guo… - … and Drug Safety, 2024 - Wiley Online Library
Purpose Real‐world data (RWD) offers a valuable resource for generating population‐level
disease epidemiology metrics. We aimed to develop a well‐tested and user‐friendly R …

[HTML][HTML] EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes

Y Ramakrishnaiah, N Macesic, GI Webb… - Journal of Biomedical …, 2023 - Elsevier
The adoption of electronic health records (EHRs) has created opportunities to analyse
historical data for predicting clinical outcomes and improving patient care. However, non …

[HTML][HTML] Advancing toward a common data model in ophthalmology: gap analysis of general eye examination concepts to standard observational medical outcomes …

CX Cai, W Halfpenny, MV Boland, HP Lehmann… - Ophthalmology …, 2023 - Elsevier
Purpose Evaluate the degree of concept coverage of the general eye examination in one
widely used electronic health record (EHR) system using the Observational Health Data …

Transforming the information system for research in primary care (SIDIAP) in Catalonia to the OMOP common data model and its use for COVID-19 research

B Raventós, S Fernández-Bertolín, M Aragón… - Clinical …, 2023 - Taylor & Francis
Purpose The primary aim of this work was to convert the Information System for Research in
Primary Care (SIDIAP) from Catalonia, Spain, to the Observational Medical Outcomes …

[HTML][HTML] The journey of data within a global data sharing initiative: a federated 3-layer data analysis pipeline to scale up multiple sclerosis research

A Pirmani, E De Brouwer, L Geys… - JMIR Medical …, 2023 - medinform.jmir.org
Background: Investigating low-prevalence diseases such as multiple sclerosis is
challenging because of the rather small number of individuals affected by this disease and …

Global Health Informatics: The state of research and lessons learned

Y Quintana, TA Cullen, JH Holmes… - Journal of the …, 2023 - academic.oup.com
The Journal of the American Medical Informatics Association (JAMIA) focus issue on Global
Health Informatics (GHI) examines how health informatics can address global health issues …

[HTML][HTML] Trends in Antidiabetic Drug Use and Safety of Metformin in Diabetic Patients with Varying Degrees of Chronic Kidney Disease from 2010 to 2021 in Korea …

SH Joo, S Yang, S Lee, SJ Park, T Park, SY Rhee… - Pharmaceuticals, 2024 - mdpi.com
Background/Objectives: This study aimed to investigate trends in antidiabetic drug use and
assess the risk of metformin-associated lactic acidosis (MALA) in patients with chronic …

Assessing equitable use of large language models for clinical decision support in real-world settings: fine-tuning and internal-external validation using electronic …

SA Hasheminasab, F Jamil, MU Afzal, AH Khan, S Ilyas… - medRxiv, 2024 - medrxiv.org
Abstract Objective Fair and safe Large Language Models (LLMs) hold the potential for
clinical task-shifting which, if done reliably, can benefit over-burdened healthcare systems …

[HTML][HTML] CIDACS'efforts towards an inclusive and dialogic data governance in Brazil: a focused literature review

B de A Almeida, RP Carreiro… - … of Population Data …, 2024 - pmc.ncbi.nlm.nih.gov
The Centre for Data and Knowledge Integration for Health's (CIDACS) data governance
efforts have primarily focused on legal, technical and operational procedures to provide high …