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Flype: Software for enabling personalized medicine
Authors:Donald L. Helseth Jr  Kamalakar Gulukota  Nicholas Miller  Mathew Yang  Tom Werth  Linda M. Sabatini  Mike Bouma  Henry M. Dunnenberger  Dyson T. Wake  Peter J. Hulick  Karen L. Kaul  Janaradan D. Khandekar
Affiliation:1. Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA;2. Donald L. Helseth, Jr and Kamalakar Gulukota Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL 60201.;3. Email: lhelseth@northshore.org (D. L. H.) and kgulukota@northshore.org (K. G.);4. Health Information Technology, NorthShore University HealthSystem, Skokie, Illinois, USA;5. Department of Pathology, NorthShore University HealthSystem, Evanston, Illinois, USA;6. Center for Medical Genetics, NorthShore University HealthSystem, Evanston, Illinois, USA;7. Kellogg Cancer Center, NorthShore University HealthSystem, Evanston, Illinois, USA
Abstract:
The advent of next generation DNA sequencing (NGS) has revolutionized clinical medicine by enabling wide‐spread testing for genomic anomalies and polymorphisms. With that explosion in testing, however, come several informatics challenges including managing large amounts of data, interpreting the results and providing clinical decision support. We present Flype, a web‐based bioinformatics platform built by a small group of bioinformaticians working in a community hospital setting, to address these challenges by allowing us to: (a) securely accept data from a variety of sources, (b) send orders to a variety of destinations, (c) perform secondary analysis and annotation of NGS data, (d) provide a central repository for all genomic variants, (e) assist with tertiary analysis and clinical interpretation, (f) send signed out data to our EHR as both PDF and discrete data elements, (g) allow population frequency analysis and (h) update variant annotation when literature knowledge evolves. We discuss the multiple use cases Flype supports such as (a) in‐house NGS tests, (b) in‐house pharmacogenomics (PGX) tests, (c) dramatic scale‐up of genomic testing using an external lab, (d) consumer genomics using two external partners, and (e) a variety of reporting tools. The source code for Flype is available upon request to the authors.
Keywords:bioinformatics  clinical decision support  EMR integration  personalized medicine  pharmacogenomics
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