A5060507817- Electronic Health Records Systems
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Inertial Sensor and Navigation
- Artificial Intelligence in Healthcare
- Diabetes Management and Research
- Scientific Computing and Data Management
- Machine Learning in Healthcare
- Advanced Database Systems and Queries
- Ethics in Clinical Research
- Data-Driven Disease Surveillance
- Health Systems, Economic Evaluations, Quality of Life
- Diabetes and associated disorders
- Medical Coding and Health Information
- Mobile Agent-Based Network Management
- Privacy-Preserving Technologies in Data
- Energy Efficient Wireless Sensor Networks
- Medical Imaging Techniques and Applications
- Pharmaceutical Practices and Patient Outcomes
- Health Policy Implementation Science
- Advanced Radiotherapy Techniques
- Statistical Methods in Clinical Trials
- Healthcare Policy and Management
- Cerebrovascular and Carotid Artery Diseases
University of Colorado Denver
2015-2024
University of Colorado Anschutz Medical Campus
2015-2024
Compass (United States)
2023
Clinical Practice Research Datalink
2023
RELX Group (United States)
2019
Hyattsville Community Development Corporation
2019
Davidson College
2018
Bacone College
2018
Rudolf Steiner College
2018
Children's Hospital Colorado
2007-2018
Harmonized data quality (DQ) assessment terms, methods, and reporting practices can establish a common understanding of the strengths limitations electronic health record (EHR) for operational analytics, improvement, research. Existing published DQ terms were harmonized to comprehensive unified terminology with definitions examples organized into conceptual framework support approach defining whether EHR is 'fit' specific uses.DQ publications, informatics analytics experts, managers...
Introduction: Answers to clinical and public health research questions increasingly require aggregated data from multiple sites. Data electronic records other sources are useful for such studies, but stringent quality assessment. assessment is particularly important in multisite studies distinguish true variations care problems. Methods: We propose a "fit-for-use" conceptual model process planning conducting single-site assessments. These approaches illustrated using examples prior studies....
A learning health system (LHS) integrates research done in routine care settings, structured data capture during every encounter, and quality improvement processes to rapidly implement advances new knowledge, all with active meaningful patient participation. While disease-specific pediatric LHSs have shown tremendous impact on improved clinical outcomes, a national digital architecture across multiple conditions does not exist. PEDSnet is network that provides the infrastructure support LHS....
Post-acute sequelae of SARS-CoV-2 infection, known as long COVID, have severely affected recovery from the COVID-19 pandemic for patients and society alike. Long COVID is characterised by evolving, heterogeneous symptoms, making it challenging to derive an unambiguous definition. Studies electronic health records are a crucial element US National Institutes Health's RECOVER Initiative, which addressing urgent need understand identify treatments, accurately who has it-the latter aim this study.
Precision medicine initiatives across the globe have led to a revolution of repositories linking large-scale genomic data with electronic health records, enabling analyses entire phenome. Many these focus solely on research insights, leading limited direct benefit patients. We describe biobank at Colorado Center for Personalized Medicine (CCPM Biobank) that was jointly developed by University Anschutz Medical Campus and UCHealth serve as unique, dual-purpose clinical resource accelerating...
Abstract Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability these data, but researchers face significant integration challenges. Knowledge graphs (KGs) are used to model complex phenomena, methods exist construct them automatically. However, tackling biomedical problems flexibility way knowledge is modeled. Moreover, existing KG construction provide robust tooling cost...
Electronic health information routinely collected during care delivery and reimbursement can help address the need for evidence about real-world effectiveness, safety, quality of medical care. Often, distributed networks that combine from multiple sources are needed to generate this evidence.We provide a set field-tested best practices recommendations data checking comparative effectiveness research (CER) in networks.Explore requirements describe approaches undertaken by several existing...
Poor data quality can be a serious threat to the validity and generalizability of clinical research findings. The growing availability electronic administrative is accompanied by concern about these for observational other analytic purposes. Currently, there are no widely accepted guidelines reporting results that would enable investigators consumers independently determine if source fit use support inferences reliable evidence generation.We developed conceptual model captures flow from...
Abstract Objective In response to COVID-19, the informatics community united aggregate as much clinical data possible characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now largest publicly available HIPAA limited dataset in US history with over 6.4 million patients a testament partnership of 100 organizations. Materials Methods We developed pipeline for ingesting, harmonizing, centralizing from 56...
Since the onset of SARS-CoV-2 pandemic, most clinical testing has focused on RT-PCR1. Host epigenome manipulation post coronavirus infection2-4 suggests that DNA methylation signatures may differentiate patients with infection from uninfected individuals, and help predict COVID-19 disease severity, even at initial presentation.We customized Illumina's Infinium MethylationEPIC array to enhance immune response detection profiled peripheral blood samples 164 longitudinal measurements severity...
The Kaiser Permanente & Strategic Partners Patient Outcomes Research To Advance Learning (PORTAL) network engages four healthcare delivery systems (Kaiser Permanente, Group Health Cooperative, HealthPartners, and Denver Health) their affiliated research centers to create a new national infrastructure that builds on existing relationships among these institutions. PORTAL is enhancing its current capabilities by expanding the scope of common data model, paying particular attention...
PEDSnet is a clinical data research network (CDRN) that aggregates electronic health record from multiple children's hospitals to enable large-scale research. Assessing quality ensure suitability for conducting key requirement in PEDSnet. This study presents range of issues identified over period 18 months and interprets them evaluate the capacity PEDSnet.Results were generated by semiautomated assessment workflow. Two investigators reviewed programmatic conducted discussions with partners'...
ONCOCIN is a medical expert system that extends the skeletal-planning technique to an applciation area where history of past events and duration actions are important. The system's knowledge base designed reflect hierarchical model domain, its control inference mechanisms encourage mixed-initiative style interaction between computer user.
To evaluate the validity of multi-institutional electronic health record (EHR) data sharing for surveillance and study childhood obesity.We conducted a non-concurrent cohort 528,340 children with outpatient visits to six pediatric academic medical centers during 2007-08, sufficient in EHR body mass index (BMI) assessment. were compared from 2007-08 National Health Nutrition Examination Survey (NHANES).Among 2-17 years, BMI was evaluable 1,398,655 (56%). The dataset contained over 6,000...
Objective To quantify the percentage of records with matching identifiers as an indicator for duplicate or potentially patient in electronic health five different healthcare organisations, describe safety issues that may arise, and present solutions managing identifiers. Methods For each institution, we retrieved deidentified counts exact match first last names dates birth determined number existing top 250 most frequently occurring name pairs. We also identified methods identifiers,...
Introduction: Growing adoption of electronic health records and increased emphasis on the reuse integration clinical care administration data require a robust informatics infrastructure to inform effectiveness in real-world settings. The Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) was one 3 projects receiving Agency Healthcare Quality Research funds create scalable, distributed network support Comparative Effectiveness Research. SAFTINet's method extracting...
Objective: We sought to determine which of several simple indicators emergency department crowding are most predictive quality care in 2 pediatric disease models: acute asthma and pain associated with long-bone fractures. Methods: performed a retrospective, cross-sectional study patients 21 years old seen for 0 acute, isolated fractures from November 1, 2007, October 31, 2008, at single, academic children's hospital department. The main outcome measures were based on 3 care-related...