Evan Minty
A5009606643- Vaccine Coverage and Hesitancy
- Diabetes Treatment and Management
- Influenza Virus Research Studies
- Biomedical Text Mining and Ontologies
- Diabetes Management and Research
- Machine Learning in Healthcare
- Cerebrovascular and Carotid Artery Diseases
- Medical Coding and Health Information
- Acute Ischemic Stroke Management
- COVID-19 Clinical Research Studies
- Atrial Fibrillation Management and Outcomes
- Lipoproteins and Cardiovascular Health
- AI in cancer detection
- COVID-19 diagnosis using AI
- Semantic Web and Ontologies
- COVID-19 and healthcare impacts
- Long-Term Effects of COVID-19
- Data-Driven Disease Surveillance
- SARS-CoV-2 and COVID-19 Research
- Cardiac, Anesthesia and Surgical Outcomes
- Metabolism, Diabetes, and Cancer
- Chronic Disease Management Strategies
- Disaster Response and Management
- COVID-19 epidemiological studies
- Heparin-Induced Thrombocytopenia and Thrombosis
University of Calgary
2014-2025
Yale University
2023-2024
University of California, Los Angeles
2023-2024
United States Department of Veterans Affairs
2023
Stanford University
2014-2022
Foothills Medical Centre
2021
Institute of Population and Public Health
2020
Libin Cardiovascular Institute of Alberta
2020
Health Sciences Centre
2013
University of Alberta
2009
Abstract Objective Traditionally, patient groups with a phenotype are selected through rule-based definitions whose creation and validation time-consuming. Machine learning approaches to electronic phenotyping limited by the paucity of labeled training datasets. We demonstrate feasibility utilizing semi-automatically sets create models via machine learning, using comprehensive representation medical record. Methods use list keywords specific interest generate noisy data. train L1 penalized...
Abstract Objective Patients with autoimmune diseases were advised to shield avoid coronavirus disease 2019 (COVID-19), but information on their prognosis is lacking. We characterized 30-day outcomes and mortality after hospitalization COVID-19 among patients prevalent diseases, compared hospital admissions similar seasonal influenza. Methods A multinational network cohort study was conducted using electronic health records data from Columbia University Irving Medical Center [USA, Optum...
A) To characterize the incidence of kidney failure associated with intravitreal anti-vascular endothelial growth factor (VEGF) exposure, and B) compare risk in patients treated ranibizumab, aflibercept, or bevacizumab. Retrospective cohort study across 12 databases Observational Health Data Sciences Informatics (OHDSI) network. Subjects aged ≥18 years ≥3 monthly anti-VEGF medications for a blinding disease (diabetic retinopathy, diabetic macular edema, exudative age-related degeneration,...
Abstract Objectives The verification of biomedical ontologies is an arduous process that typically involves peer review by subject-matter experts. This work evaluated the ability crowdsourcing methods to detect errors in SNOMED CT (Systematized Nomenclature Medicine Clinical Terms) and address challenges scalable ontology verification. Methods We developed a methodology crowdsource uses micro-tasking combined with Bayesian classifier. then conducted prospective study which both crowd domain...
Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Associated Risks Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation analysis of COVID-19 RWD.
Objective To assess the uptake of second line antihyperglycaemic drugs among patients with type 2 diabetes mellitus who are receiving metformin. Design Federated pharmacoepidemiological evaluation in LEGEND-T2DM. Setting 10 US and seven non-US electronic health record administrative claims databases Observational Health Data Sciences Informatics network eight countries from 2011 to end 2021. Participants 4.8 million (≥18 years) across based had received metformin monotherapy initiated...
Abstract Background To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network standardization can be utilized to scale-up external validation of patient-level prediction models by enabling across a large number heterogeneous observational healthcare datasets. Methods Five previously published prognostic (ATRIA, CHADS 2 , VASC, Q-Stroke Framingham) that predict future risk stroke in patients with atrial fibrillation were replicated using OHDSI...
Background Adverse events of special interest (AESIs) were pre-specified to be monitored for the COVID-19 vaccines.Some AESIs are not only associated with vaccines, but COVID-19.Our aim was characterise incidence rates following SARS-CoV-2 infection in patients and compare these historical general population.Methods A multi-national cohort study data from primary care, electronic health records, insurance claims mapped a common model.This study's evidence collected between Jan 1, 2017...
The desire to monitor the spatial-temporal characteristics of myelination in spinal cord (SC), context pathological change demyelinating diseases or proposed neuroregenerative protocols, has led an interest noninvasive image-based myelin measurement methods. We present one strategy: a magnetic resonance-based measure that capitalizes on T(2) relaxation water compartmentalized within tissue. In this study, 32-echo studies for measuring fraction (MWF) were applied healthy control SC vivo using...
Background: Routinely collected healthcare data such as administrative claims and electronic health records (EHR) can complement clinical trials spontaneous reports to detect previously unknown risks of vaccines, but uncertainty remains about the behavior alternative epidemiologic designs declare a true risk early. Methods: Using three one EHR database, we evaluate several variants case-control, comparative cohort, historical comparator, self-controlled against vaccinations using real...
Abstract Objective Observational studies can impact patient care but must be robust and reproducible. Nonreproducibility is primarily caused by unclear reporting of design choices analytic procedures. This study aimed to: (1) assess how the logic described in an observational could interpreted independent researchers (2) quantify interpretations’ variability on characteristics. Materials Methods Nine teams highly qualified reproduced a cohort from Albogami et al. The were provided clinical...
Diabetes and its complications, particularly diabetic foot ulcers (DFUs), pose significant challenges to healthcare systems worldwide. DFUs result in severe consequences such as amputation, increased mortality rates, reduced mobility, substantial costs. The majority of are preventable treatable through early detection. Sensor-based remote patient monitoring (RPM) has been proposed a possible solution overcome limitations, enhance the effectiveness, existing care best practices. However,...
As prescribing of newer antihyperglycemic agents expands, there remains limited comparative safety data for older adults-a population particularly vulnerable to adverse drug events and underrepresented in clinical trials. We aimed evaluate the real-world second-line among adults with type 2 diabetes. conducted a multinational cohort study using nine harmonized electronic health record claims databases from U.S. Europe, applying consistent analytical framework based on LEGEND-T2DM initiative....
Abstract Background Acute kidney injury (AKI) is common in hospitalized patients and associated with poor patient outcomes high costs of care. The implementation clinical decision support tools within electronic medical record (EMR) could improve AKI care outcomes. While have the potential to enhance recognition management AKI, there limited description literature how these were developed whether they meet end-user expectations. Methods We evaluated content, acceptability, usability for...
Vaccine-induced thrombotic thrombocytopenia (VITT) has been identified as a rare but serious adverse event associated with coronavirus disease 2019 (COVID-19) vaccines. In this study, we explored the pre-pandemic co-occurrence of thrombosis (TWT) using 17 observational health data sources across world. We applied multiple TWT definitions, estimated background rate TWT, characterized patients, and makeup types among patients. conducted an international network retrospective cohort study...
Using real-world data and past vaccination data, we conducted a large-scale experiment to quantify bias, precision timeliness of different study designs estimate historical background (expected) compared post-vaccination (observed) rates safety events for several vaccines. We used negative (not causally related) positive control outcomes. The latter were synthetically generated true signals with incident rate ratios ranging from 1.5 4. Observed vs. expected analysis using within-database is...
Abstract Background Extended duty hours for residents are associated with negative consequences. Strategies to accommodate hour restrictions may also have unintended impacts. To eliminate extended and potentially lessen these impacts, we developed a senior resident rotation bundle that integrates night float system, educational sessions on sleep hygiene, an electronic handover tool, simulation-based medical education curriculum. The aim of this study was assess internal medicine residents’...
Vaccine safety surveillance commonly includes a serial testing approach with sensitive method for 'signal generation' and specific validation.' The extent to which in real-world studies improves or hinders overall performance terms of sensitivity specificity remains unknown. We assessed the using three administrative claims one electronic health record database. compared type I II errors before after empirical calibration historical comparator, self-controlled case series (SCCS), combination...
Abstract Background The evolving COVID-19 pandemic has and continues to present a threat health system capacity. Rapidly expanding an existing acute care physician workforce is critical response planning in large urban academic systems. Intervention Medical Emergency-Pandemic Operations Command (MEOC)—a multi-specialty team of physicians, operational leaders, support staff within Department Medicine Calgary, Canada—partnered with its provincial rapidly develop comprehensive, scalable plan...
SGLT2 inhibitors (SGLT2is) and GLP-1 receptor agonists (GLP1-RAs) reduce major adverse cardiovascular events (MACE) in patients with type 2 diabetes mellitus (T2DM). However, their effectiveness relative to each other second-line antihyperglycemic agents is unknown, without any ongoing head-to-head trials. Across the LEGEND-T2DM network, we included ten federated international data sources, spanning 1992-2021. We identified 1,492,855 T2DM established disease (CVD) on metformin monotherapy...
Diabetic foot ulcers (DFU) are a devastating complication of diabetes. There numerous challenges with preventing diabetic complications and barriers to achieving the care processes suggested in established guidelines. Multi-faceted digital health solutions, which combine multimodal sensing, patient-facing biofeedback, remote patient monitoring (RPM), show promise improving our ability understand, prevent, manage DFUs.