Providing access to risk prediction tools via the HL7 XML-formatted risk web service.
Providing access to risk prediction tools via the HL7 XML-formatted risk web service.
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DOI：
10.1007/s10549-013-2605-z
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发表时间：
2013-07
影响因子：
3.8
通讯作者：
Bosinoff, Phil
中科院分区：
文献类型：
--
作者：
Chipman, Jonathan;Drohan, Brian;Blackford, Amanda;Parmigiani, Giovanni;Hughes, Kevin;Bosinoff, Phil
关键词：
癌症风险预测工具为临床医生提供了有价值的信息，但在计算上仍然具有挑战性。许多诊所发现，Ca Gene或Hughes风险应用程序适合他们的需求，即使用简单易用的软件来获取癌症风险；然而，这些资源可能并不适合所有诊所的需要。因此，休斯风险应用小组和贝叶斯孟德尔实验室开发了一个名为“风险服务”的网络服务，该服务可以集成到任何客户端软件中，以快速获得贝叶斯孟德尔工具（BRCAPRO、MMRpro、PancPRO和MelaPRO）、Tyrer-Cuzick IBIS乳腺癌风险评估工具和结直肠癌风险评估工具的标准化和最新风险预测。能够将本地结构化数据转换为HL7 xml格式的家庭和临床病史（谱系模型）的软件客户端可以与Risk Service集成。风险服务使用Apache Tomcat和Apache Axis2技术来提供全Java web服务。软件客户端将包含匿名家族史和临床病史的HL7 XML信息发送到Dana-Farber Cancer Institute （DFCI）服务器，在那里由多个风险工具对其进行解析、解释和处理。然后，Risk Service将结果格式化为HL7样式的消息，并将风险预测返回给原始软件客户端。经同意后，用户可以允许DFCI为未来的研究保留数据。Hughes Risk Apps是风险服务实现的范例。风险服务扩大了有价值的、最新的癌症风险工具的可用性，并允许诊所和研究人员将风险预测工具整合到他们自己的软件界面中，以满足他们的需求。每个软件包都可以使用自己的界面收集风险数据，并使用自己的界面显示结果，同时使用中央的、最新的风险计算器。这允许用户从多个接口中进行选择，同时始终获得最新的风险计算。同意的用户为未来的研究贡献他们的数据，从而建立一个丰富的多中心资源。
Cancer risk prediction tools provide valuable information to clinicians but remain computationally challenging. Many clinics find that Ca Gene or Hughes Risk Apps fit their needs for easy- and ready-to-use software to obtain cancer risks; however, these resources may not fit all clinics’ needs. The Hughes Risk Apps Group and Bayes Mendel 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 Bayes Mendel 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 Hughes Risk Apps. 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 multi-center resource.
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