Maria Katerina C Alfaro, Christine S Shusted, Teresa Giamboy, Gregory C Kane, Nathaniel R Evans, Brooke M Ruane, Eboni Gatson-Anderson, Emily Muse, Mary McMullen, Anne Marie Kinsey, Sandra Murray, Christopher McNair, Julie A Barta
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In a widely expanding LCS program, harmonization of data becomes critical for decisions surrounding clinical care coordination and operational management.</p><p><strong>Methods: </strong>This article summarizes the implementation of an integrated, digital framework within the Jefferson Health System using the Epic EHR and its customized SmartForms as well as Research Electronic Data Capture application. Leveraging these tools has allowed for standardized documentation across the LCS process continuum for each patient: LCS eligibility, shared decision making, low-dose computed tomography, and follow-up.</p><p><strong>Results: </strong>Since the initial rollout in October 2022, 11 program sites across four regional hubs have adopted this framework. A standardized process paired with interoperability between systems has resulted in a centralized data repository, increased communication and transparency within and between program sites, and decreased duplicative or manual processes across the entire LCS program.</p><p><strong>Conclusion: </strong>The resultant digital framework is poised for scale-up and sustainment across the Jefferson Health System, and it can also be replicated across other LCS programs. Future iterations of the current work or adoption by other programs should take into account the complexities of the EHR itself and data provenance to ensure success. Active participation among stakeholders for synchronous coordination of building, implementing, and troubleshooting a comprehensive repository for LCS data can ultimately facilitate measurement of quality metrics and develop future research in early detection of lung cancer.</p>","PeriodicalId":51626,"journal":{"name":"JCO Clinical Cancer Informatics","volume":"9 ","pages":"e2400322"},"PeriodicalIF":3.3000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208652/pdf/","citationCount":"0","resultStr":"{\"title\":\"Using an Integrated, Digital Framework to Standardize and Expand a Multisite Lung Cancer Screening Program.\",\"authors\":\"Maria Katerina C Alfaro, Christine S Shusted, Teresa Giamboy, Gregory C Kane, Nathaniel R Evans, Brooke M Ruane, Eboni Gatson-Anderson, Emily Muse, Mary McMullen, Anne Marie Kinsey, Sandra Murray, Christopher McNair, Julie A Barta\",\"doi\":\"10.1200/CCI-24-00322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Lung cancer screening (LCS) is one of the most potentially impactful interventions of the past two decades for reducing lung cancer mortality. 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引用次数: 0
摘要
目的:肺癌筛查(LCS)是过去二十年来降低肺癌死亡率的最具潜在影响的干预措施之一。然而,尽管有电子健康记录(EHRs)和LCS管理工具,但在LCS的全面数据收集和跟踪方面,目前尚无标准。在广泛扩展的LCS计划中,数据的统一对于围绕临床护理协调和运营管理的决策至关重要。方法:本文总结了在杰弗逊医疗系统中使用Epic EHR及其定制的SmartForms以及Research Electronic Data Capture应用程序实现一个集成的数字框架。利用这些工具可以对每个患者的LCS过程连续体进行标准化记录:LCS资格、共享决策、低剂量计算机断层扫描和随访。结果:自2022年10月首次推出以来,四个区域中心的11个项目站点采用了该框架。与系统之间的互操作性相匹配的标准化过程导致了集中的数据存储库,增加了项目站点内部和站点之间的通信和透明度,并减少了整个LCS项目中的重复或手动过程。结论:由此产生的数字框架为整个杰斐逊卫生系统的规模扩大和维持做好了准备,它也可以在其他LCS项目中复制。当前工作的未来迭代或其他项目的采用应考虑到EHR本身的复杂性和数据来源,以确保成功。利益相关者积极参与,同步协调LCS数据综合库的建立、实施和故障排除,最终可以促进质量指标的测量,并发展肺癌早期检测的未来研究。
Using an Integrated, Digital Framework to Standardize and Expand a Multisite Lung Cancer Screening Program.
Purpose: Lung cancer screening (LCS) is one of the most potentially impactful interventions of the past two decades for reducing lung cancer mortality. However, no current standard exists in the field for comprehensive data collection and tracking of LCS, despite availability of electronic health records (EHRs) and LCS management tools. In a widely expanding LCS program, harmonization of data becomes critical for decisions surrounding clinical care coordination and operational management.
Methods: This article summarizes the implementation of an integrated, digital framework within the Jefferson Health System using the Epic EHR and its customized SmartForms as well as Research Electronic Data Capture application. Leveraging these tools has allowed for standardized documentation across the LCS process continuum for each patient: LCS eligibility, shared decision making, low-dose computed tomography, and follow-up.
Results: Since the initial rollout in October 2022, 11 program sites across four regional hubs have adopted this framework. A standardized process paired with interoperability between systems has resulted in a centralized data repository, increased communication and transparency within and between program sites, and decreased duplicative or manual processes across the entire LCS program.
Conclusion: The resultant digital framework is poised for scale-up and sustainment across the Jefferson Health System, and it can also be replicated across other LCS programs. Future iterations of the current work or adoption by other programs should take into account the complexities of the EHR itself and data provenance to ensure success. Active participation among stakeholders for synchronous coordination of building, implementing, and troubleshooting a comprehensive repository for LCS data can ultimately facilitate measurement of quality metrics and develop future research in early detection of lung cancer.