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Providing access to risk prediction tools via the HL7 XML-formatted risk web service

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Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Cancer risk prediction tools provide valuable information to clinicians but remain computationally challenging. Many clinics find that CaGene or HughesRiskApps fit their needs for easy- and ready-to-use software to obtain cancer risks; however, these resources may not fit all clinics’ needs. The HughesRiskApps Group and BayesMendel Lab therefore developed a web service, called “Risk Service”, which may be integrated into any client software to quickly obtain standardized and up-to-date risk predictions for BayesMendel tools (BRCAPRO, MMRpro, PancPRO, and MelaPRO), the Tyrer-Cuzick IBIS Breast Cancer Risk Evaluation Tool, and the Colorectal Cancer Risk Assessment Tool. Software clients that can convert their local structured data into the HL7 XML-formatted family and clinical patient history (Pedigree model) may integrate with the Risk Service. The Risk Service uses Apache Tomcat and Apache Axis2 technologies to provide an all Java web service. The software client sends HL7 XML information containing anonymized family and clinical history to a Dana-Farber Cancer Institute (DFCI) server, where it is parsed, interpreted, and processed by multiple risk tools. The Risk Service then formats the results into an HL7 style message and returns the risk predictions to the originating software client. Upon consent, users may allow DFCI to maintain the data for future research. The Risk Service implementation is exemplified through HughesRiskApps. The Risk Service broadens the availability of valuable, up-to-date cancer risk tools and allows clinics and researchers to integrate risk prediction tools into their own software interface designed for their needs. Each software package can collect risk data using its own interface, and display the results using its own interface, while using a central, up-to-date risk calculator. This allows users to choose from multiple interfaces while always getting the latest risk calculations. Consenting users contribute their data for future research, thus building a rich multicenter resource.

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Abbreviations

HRA:

HughesRiskApps

HL7:

Health Level 7

DFCI:

Dana-Farber Cancer Institute

CCRAT:

Colorectal Cancer Risk Assessment Tool

SNOMED:

Systematized Nomenclature of Medicine

CDS:

Clinical Decision Support

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Acknowledgements

Work partly supported by the Susan G. Komen Foundation and by NCI award 2 P30 CA006516-47 (DF/HCC comprehensive cancer center core grant).

Conflict of interest

Jonathan Chipman, Brian Drohan, and Amanda Blackford declare they have no conflict of interest. Giovanni Parmigiani, Kevin Hughes, and Phil Bosinoff may receive royalties from the commercial licensing of the Risk Service.

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Authors and Affiliations

  1. Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02115, USA

    Jonathan Chipman & Giovanni Parmigiani

  2. Massachusetts General Hospital, 55 Fruit Street, Yawkey 7, Boston, MA, 02114, USA

    Brian Drohan, Kevin Hughes & Phil Bosinoff

  3. Sidney Kimmel Comprehensive Cancer Center, 550 N Broadway, Suite 1111, Baltimore, MD, 21205, USA

    Amanda Blackford

Authors
  1. Jonathan Chipman
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  2. Brian Drohan
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  3. Amanda Blackford
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  4. Giovanni Parmigiani
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  5. Kevin Hughes
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  6. Phil Bosinoff
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Corresponding author

Correspondence to Jonathan Chipman.

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Chipman, J., Drohan, B., Blackford, A. et al. Providing access to risk prediction tools via the HL7 XML-formatted risk web service. Breast Cancer Res Treat 140, 187–193 (2013). https://doi.org/10.1007/s10549-013-2605-z

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  • DOI: https://doi.org/10.1007/s10549-013-2605-z

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