The Harvest Program: Integrated Research Databases

DBHi's Harvest program integrates data from multiple clinical and research-focused sources to generate a cohesive view of a patient relative to a therapeutic area.

  • Integration of genomic, imaging, research, and clinical endpoints
  • Dynamic querying engine with visualizations
  • Hypothesis-driven exploration of data

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AudgenDB, the result of a collaboration with CHOP's Center for Childhood Communication, is DBHi's first developed iteration of the Harvest paradigm for a specific therapeutic or disease area. Audiologists and other researchers can dynamically query the data to return aggregate reports or individual cases, all within an interface that allows for seamless reconciliation of the integrated data types.

DBHi is currently seeking to apply its in-depth knowledge of CHOP's data systems, including the Epic EHR, genomic, imaging, and other research data sources into intuitive querying and reporting systems. Please contact Jeff Pennington, Director of DBHi's Translational Informatics Unit, to start a discussion.

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The Care Assistant Program: EHR Prompts, Interventions, and Decision Support

With some robust customizations and a governance model that allows for it, research interests can be represented in an EHR via our proprietary Care Assistant

  • Research recruitment prompts in EHR during patient visit
  • EHR-mediated interventions and alerts
  • EHR-mediated decision support
  • Complex decision support with advanced discovery engines and visualizations

Applications currently implemented within the Care Assistant program include those for:

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The REDCap Program: User-Enabled Data Management

REDCap, a data capture and archiving system, is DBHi's premiere means of providing protocol-focused data management solutions to CHOP researchers. Developed by Vanderbilt University and administered by an academic consortium, the REDCap application's intuitive design and tailored clinical research workflows enable a research team to capture and manage data entirely within the research team. CBMi provides pharma-trained clinical data managers to assist in ramping up and troubleshooting their self-directed programs.

Click here to access REDCap.

DBHi also maintains language that can be inserted into protocols for regulatory and security purposes.

Please contact Marianne Chilutti to make a request for this language.

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Proband - Pedigrees Made Simple

Proband is an iPad(tm) application designed to capture a patient's genetic family history during the clinical encounter. Rapid data capture means pedigrees can be stored electronically during the interview, instead of transcribed later. The Department of Biomedical and Health Informatics at The Children’s Hospital of Philadelphia developed and tested the app with our genetic counselors in actual clinical settings. Proband has fully editable functionality and can capture any level of detail, without page size limitations. It stores information in a structured format for use by other software, computing systems, and clinical decision support algorithms. The app is available for download in the Apple iTunes store.

Click here to learn more about Proband.

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The Mobile Health Application Development Program

DBHi's programmers have developed and implemented multiple applications that are launched on a number of mobile devices, including the iPhone/iPod Touch and iPad platforms. Our interests in developing applications span the full spectrum of clinical and bench research.

DBHi's Mobile Health Application Gateway lists all of our current applications and provides support information, including:

  • CTCAE v3.0 and v4.0: iPhone characterization of adverse events

Have an idea for an mHealth application? This email address is being protected from spambots. You need JavaScript enabled to view it.

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Clinical Trial Management Systems

DBHi is working with CHOP's Center for Childhood Cancer Research (CCCR) to evaluate, implement, and optimize a comprehensive clinical trial management system, OnCore. The system, now in operation, manages over 200 CCCR clinical trials and has been instrumental in establishing a single source of data entry, archiving, and reporting for the disparate needs of each study. The system is now being extended to integrate with other CHOP databases and administrative resources such as eIRB.

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Laboratory Information Management Systems (LIMS)

DBHi has partnered with ThermoFisher Scientific to implement a unique protocol-centered LIMS to specifically support clinical and translational research. The resulting extension of ThermoFisher's Nautilus product allows researchers to accession and query samples within the context of a larger clinical protocol and is currently being used by CHOP's Clinical and Translational Resource Center to support ongoing research.

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CNV Workshop

CNV Workshop is a suite of open source tools that provides a comprehensive approach to CNV analysis for genome array data. The workshop's tools were compiled by the bioinformatics group within DBHi and include packages developed by the general open source community as well as custom modules developed by DBHi. Analysis activities supported by this application include CNV identification, annotation, visual representations and exports of the data, and limited project and account management.

Please click here to download this open source resource or click here to view the manuscript.

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CNV Database

The Copy Number Variation project at the Children's Hospital of Philadelphia (CHOP) represents an effort to identify all frequent copy number variations (CNVs) that exist in the human genome. Our ongoing research uses high-resolution genome-wide scanning and highly accurate computational approaches. CNV's found within this database have been identified from 2,026 healthy children recruited within CHOP's pediatric practice network. These efforts have yielded the first high resolution CNV map of the human genome, providing access to a data source that allows for effective assessment of the role of CNVs in human variation and disease susceptibility.

Please click here to access the database. You can also read the accompanying manuscript or read the OpenHelix blog about this highly accessed tool.

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updated 1/08/2015