Maternal Polyunsaturated Fatty Acid Status but not Prenatal Methylmercury exposure is associated with Children’s Language Functions at Age Five Years in the Seychelles

submitted by: msmulhern
Evidence from the Seychelles Child Development Nutrition Study suggests that maternal nutritional status can modulate the relationship between prenatal methylmercury (MeHg) exposure and developmental outcomes in children. The aim of this study was to investigate whether maternal PUFA status was a confounding factor in any possible associations between prenatal MeHg exposure and developmental outcomes at 5 y of age in the Republic of Seychelles. Maternal status of (n-3) and (n-6) PUFA were...
Authors: JJ Strain, Philip W Davidson, Sally W Thurston, Donald Harrington, Maria S Mulhern, Alison J McAfee, Edwin van Wijngaarden, Conrad F Shamlaye, Juliette Henderson, Gene E Watson, Grazyna Zareba, Deborah A Cory-Slechta, Miranda Lynch, Julie M W Wallace, Emeir M McSorley, Maxine P Bonham, Abbie Stokes-Riner, Jean Sloan-Reeves, Joanne Janciuras, Rosa Wong

Patient Characteristics associated with Venous Thromboembolic Events: a Cohort Study Using Pooled Electronic Health Record Data

submitted by: Jamia
Abstract: Objective: To demonstrate the potential of de-identified clinical data from multiple healthcare systems using different electronic health records (EHR) to be efficiently used for very large retrospective cohort studies. Materials and methods: Data of 959,030 patients, pooled from multiple different healthcare systems with distinct EHR, were obtained. Data were standardized and normalized using common ontologies, searchable through a HIPAA-complaint, patient de-identified web...

Deriving rules and assertions from pharmacogenomics knowledge resources in support of patient drug metabolism efficacy...

submitted by: Jamia
Full title: Deriving rules and assertions from pharmacogenomics knowledge resources in support of patient drug metabolism efficacy predictions Abstract: Objective Pharmacogenomics evaluations of variability in drug metabolic processes may be useful for making individual drug response predictions. We present an approach to deriving ‘phenotype scores’ based on existing pharmacogenomics knowledge and a patient's genomics data. Pharmacogenomics plays an important role in the bioactivation...

AMIA Board White Paper on Biomedical Informatics Definition and Core Competencies

submitted by: Jamia
Abstract The AMIA biomedical informatics (BMI) core competencies have been designed to support and guide graduate education in BMI, the core scientific discipline underlying the breadth of the field's research, practice, and education. The core definition of BMI adopted by AMIA specifies that BMI is ‘the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated...

Probability of an Algorithm to Identify Rheumatoid Arthritis in Electronic Health Records

submitted by: Jamia
Abstract Objectives: Electronic health record (EHR) can allow for the generation of large cohort of individuals with given diseases for clinical and genomic research. A rate-limiting step is the development of electronic phenotype selection algorithms to find such cohorts. This study evaluated the portability of a published phenotype algorithm to identify rheumatoid arthritis (RA) patients from HER records at three institutions with different EHR systems. Material and Methods: Physicians...

Visualizing EHRs

submitted by: Milan

Doctors Zia Agha, Sam Ho and Rob El-Kareh briefly describe the value of visualizing EHRs (Electronic Health Records).