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...

The Tranche data repository: Progress made and lessons learned from 24.4 TB of data, 1,612 users and 12,458 depositions.

submitted by: ucsd_idash
ABSTRACT High-throughput data production in proteomics and other post-genome disciplines has resulted in many data sharing, annotation, and dissemination challenges. Successful systems require as much thought and effort be put into the social aspects of engineering as the software side. Close relationships with data generators and users are crucial as is the recognition that development of a database to support a static field is quite different from research fields where the data types,...

Visualization and Analysis of Multiple Streams of Time-Coded Data

submitted by: ucsd_idash
ABSTRACT In many fields of observational research, it is increasingly common to collect many types of data about the activity of study participants, including things such as digital video, system logs, and sensor data. I will present ChronoViz, a tool I have developed for annotation, visualization, navigation, and analysis of multiple streams of time-coded data. Researchers using ChronoViz can navigate data in multiple ways, including through the use of interactive paper technology, and...

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...

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...

Welcome to Biomedical Data Sharing Workshop

submitted by: ucsd_idash

Speaker: Brian E. Chapman, Ph.D (UCSD)
UCSD iDASH Biomedical Data Sharing Workshop July, 2012

Stakeholders perspectives in the Biomedical Data Sharing Enterprise

submitted by: ucsd_idash

Speaker: Don Detmer, M.D., MA (Univ. of Virginia)
UCSD iDASH Biomedical Data Sharing Workshop July, 2012

Response to Ethical Issues in Biomedical Data Sharing

submitted by: ucsd_idash

Speaker: Mary Deveraux, Ph.D. (UCSD)
UCSD iDASH Biomedical Data Sharing Workshop July, 2012

Legal Framework for Data Sharing

submitted by: ucsd_idash

Speaker: Henry T. Greely, J.D. (Stanford University)
UCSD iDASH Biomedical Data Sharing Workshop July, 2012