American Medical Informatics Association
https://www.amia.org/applications-informatics/clinical-research-informatics
Canadian Primary Care Sentinel Surveillance Network:
http://cpcssn.ca/
IRB Class Model
http://irb-dam.bmi.utah.edu/v1/index.htm?goto=3:1:181
https://www.amia.org/applications-informatics/clinical-research-informatics
Canadian Primary Care Sentinel Surveillance Network:
http://cpcssn.ca/
IRB Class Model
http://irb-dam.bmi.utah.edu/v1/index.htm?goto=3:1:181
Clinical research informatics: a conceptual perspective
See "Practices and perspectives on building integrated data repositories: results from a 2010 CTSA survey" in volume 19 on page e119.
See "The
design and implementation of an open-source, data-driven cohort
recruitment system: the Duke Integrated Subject Cohort and Enrollment
Research Network (DISCERN)" in volume 19 on page e68.
See "Implementation of a deidentified federated data network for population-based cohort discovery" in volume 19 on page e60.
See "The Hub Population Health System: distributed ad hoc queries and alerts" in volume 19 on page e46.
See "Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study" in volume 19 on page e145.
See "Evaluation of a prototype interactive consent program for pediatric clinical trials: a pilot study" in volume 19 on page e43.
See "A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support" in volume 19 on page e137.
See "Use of electronic health record data to evaluate overuse of cervical cancer screening" in volume 19 on page e96.
See "Adjusting outbreak detection algorithms for surveillance during epidemic and non-epidemic periods" in volume 19 on page e51.
See "Evaluation of record linkage between a large healthcare provider and the Utah Population Database" in volume 19 on page e54.
See "Missing values in deduplication of electronic patient data" in volume 19 on page e76.
See "Informatics and data quality at collaborative multicenter Breast and Colon Cancer Family Registries" in volume 19 on page e125.
See "Quality evaluation of value sets from cancer study common data elements using the UMLS semantic groups" in volume 19 on page e129.
See "Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record" in volume 19 on page e83.
See "Development of an optical character recognition pipeline for handwritten form fields from an electronic health record" in volume 19 on page e90.
See "Automated identification of extreme-risk events in clinical incident reports" in volume 19 on page e110.
See "Usability-driven pruning of large ontologies: the case of SNOMED CT" in volume 19 on page e102.
See "Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis" in volume 19 on page e149.
See "Big science, big data, and a big role for biomedical informatics" in volume 19 on page e1.
This article has been cited by other articles in PMC.
Abstract
Clinical
research informatics is the rapidly evolving sub-discipline within
biomedical informatics that focuses on developing new informatics
theories, tools, and solutions to accelerate the full translational
continuum: basic research to clinical trials (T1), clinical trials to
academic health center practice (T2), diffusion and implementation to
community practice (T3), and ‘real world’ outcomes (T4). We present a
conceptual model based on an informatics-enabled clinical research
workflow, integration across heterogeneous data sources, and core
informatics tools and platforms. We use this conceptual model to
highlight 18 new articles in the JAMIA special issue on clinical research informatics.
Keywords: Clinical
research informatics, clinical and translational research,
visualization of data and knowledge, knowledge representations, methods
for integration of information from disparate sources, data models, data
exchange, knowledge bases, knowledge acquisition, knowledge acquisition
and knowledge management