JAMIA Webinar - 2013

submitted by: Jamia

March 2013, JAMIA Webinar. Presenter: Griffin Weber,MD. CIO of Harvard Medical School

Identifying clinical/translational research cohorts: ascertainment via querying an integrated multi-source database

submitted by: Jamia

Identifying clinical/translational research cohorts: ascertainment via querying an integrated multi-source database

Feb-2013 JAMIA Webinar (UCSD, Division of Biomedical Informatics)

submitted by: Jamia

Clinical Decision Support for Genetically Guided Personalized Medicine: a Systematic Review

Online Disease Management of Diabetes: (EMPOWER-D)

submitted by: Jamia
Full title: Online Disease Management of Diabetes: Engaging and Motivating Patients Online With Enhanced Resources-Diabetes (EMPOWER-D), A Randomized Controlled Trial Abstract: OBJECTIVE: To evaluate an online disease management system supporting patients with uncontrolled type 2 diabetes. MATERIALS AND METHODS: Engaging and Motivating Patients Online With Enhanced Resources for Diabetes was a 12-month parallel randomized controlled trial of 415 patients with type 2 diabetes with...

Identifying Clinical/Translational Research Cohorts: Ascertainment via Querying an Integrated Multi-Source Database

submitted by: Jamia
Abstract: BACKGROUND: Ascertainment of potential subjects has been a longstanding problem in clinical research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects-some methods work well for large cohorts; others work for small cohorts only. OBJECTIVE: We propose a method that provides a simple identification of pre-research cohorts and relies on data available in most states in the USA: merged...

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...