Nadine Jackson McCleary, James L Merle, Joshua E Richardson, Michael Bass, Sofia F Garcia, Andrea L Cheville, Sandra A Mitchell, Roxanne Jensen, Sarah Minteer, Jessica D Austin, Nathan Tesch, Lisa DiMartino, Michael J Hassett, Raymond U Osarogiagbon, Sandra Wong, Deborah Schrag, David Cella, Ashley Wilder Smith, Justin D Smith
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Investigators discussed data collection and CI challenges, implementation strategies, and lessons learned.</p><p><strong>Results: </strong>CI implementation strategies and EHRs systems were utilized to collect and act upon symptoms and impairments in functioning via electronic patient-reported outcomes (ePRO) captured in ambulatory oncology settings. Limited EHR functionality and data collection capabilities constrained the ability to address IS questions. Collecting ePRO data required significant planning and organizational champions adept at navigating ambiguity.</p><p><strong>Discussion: </strong>Bringing together CI and IS perspectives offers critical opportunities for monitoring and managing cancer symptoms via ePROs. Discussions between CI and IS researchers identified and addressed gaps between applied informatics implementation and theory-based IS trial and evaluation methods. The use of common terminology may foster shared mental models between CI and IS communities to enhance EHR design to more effectively facilitate ePRO implementation and clinical responses.</p><p><strong>Conclusion: </strong>Implementation of ePROs in ambulatory oncology clinics benefits from common understanding of the concepts, lexicon, and incentives between CI implementers and IS researchers to facilitate and measure the results of implementation efforts.</p>","PeriodicalId":36278,"journal":{"name":"JAMIA Open","volume":"7 3","pages":"ooae081"},"PeriodicalIF":2.5000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11373565/pdf/","citationCount":"0","resultStr":"{\"title\":\"Bridging clinical informatics and implementation science to improve cancer symptom management in ambulatory oncology practices: experiences from the IMPACT consortium.\",\"authors\":\"Nadine Jackson McCleary, James L Merle, Joshua E Richardson, Michael Bass, Sofia F Garcia, Andrea L Cheville, Sandra A Mitchell, Roxanne Jensen, Sarah Minteer, Jessica D Austin, Nathan Tesch, Lisa DiMartino, Michael J Hassett, Raymond U Osarogiagbon, Sandra Wong, Deborah Schrag, David Cella, Ashley Wilder Smith, Justin D Smith\",\"doi\":\"10.1093/jamiaopen/ooae081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To report lessons from integrating the methods and perspectives of clinical informatics (CI) and implementation science (IS) in the context of Improving the Management of symPtoms during and following Cancer Treatment (IMPACT) Consortium pragmatic trials.</p><p><strong>Materials and methods: </strong>IMPACT informaticists, trialists, and implementation scientists met to identify challenges and solutions by examining robust case examples from 3 Research Centers that are deploying systematic symptom assessment and management interventions via electronic health records (EHRs). Investigators discussed data collection and CI challenges, implementation strategies, and lessons learned.</p><p><strong>Results: </strong>CI implementation strategies and EHRs systems were utilized to collect and act upon symptoms and impairments in functioning via electronic patient-reported outcomes (ePRO) captured in ambulatory oncology settings. Limited EHR functionality and data collection capabilities constrained the ability to address IS questions. Collecting ePRO data required significant planning and organizational champions adept at navigating ambiguity.</p><p><strong>Discussion: </strong>Bringing together CI and IS perspectives offers critical opportunities for monitoring and managing cancer symptoms via ePROs. Discussions between CI and IS researchers identified and addressed gaps between applied informatics implementation and theory-based IS trial and evaluation methods. 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引用次数: 0
摘要
目的:报告在 "改善癌症治疗过程中和治疗后症状管理(IMPACT)联盟 "务实试验中整合临床信息学(CI)和实施科学(IS)的方法和观点所取得的经验:IMPACT 的信息学家、试验专家和实施科学家聚集在一起,通过研究 3 个研究中心通过电子健康记录 (EHR) 部署系统症状评估和管理干预措施的有力案例,找出挑战和解决方案。研究人员讨论了数据收集和 CI 挑战、实施策略和经验教训:结果:研究人员利用 CI 实施策略和电子病历系统,通过非住院肿瘤环境中采集的电子患者报告结果 (ePRO) 收集症状和功能障碍,并采取相应行动。有限的电子病历功能和数据收集能力限制了解决信息系统问题的能力。收集 ePRO 数据需要大量的计划和善于驾驭模糊性的组织领导者:将 CI 和 IS 的观点结合起来,为通过 ePRO 监测和管理癌症症状提供了重要机会。CI和IS研究人员之间的讨论发现并解决了应用信息学实施与基于理论的IS试验和评估方法之间的差距。共同术语的使用可促进 CI 和 IS 社区之间建立共同的心理模型,从而加强电子健康记录系统的设计,更有效地促进 ePRO 的实施和临床反应:结论:在门诊肿瘤诊所实施 ePRO 可受益于 CI 实施者和 IS 研究人员对概念、术语和激励措施的共同理解,从而促进和衡量实施工作的结果。
Bridging clinical informatics and implementation science to improve cancer symptom management in ambulatory oncology practices: experiences from the IMPACT consortium.
Objectives: To report lessons from integrating the methods and perspectives of clinical informatics (CI) and implementation science (IS) in the context of Improving the Management of symPtoms during and following Cancer Treatment (IMPACT) Consortium pragmatic trials.
Materials and methods: IMPACT informaticists, trialists, and implementation scientists met to identify challenges and solutions by examining robust case examples from 3 Research Centers that are deploying systematic symptom assessment and management interventions via electronic health records (EHRs). Investigators discussed data collection and CI challenges, implementation strategies, and lessons learned.
Results: CI implementation strategies and EHRs systems were utilized to collect and act upon symptoms and impairments in functioning via electronic patient-reported outcomes (ePRO) captured in ambulatory oncology settings. Limited EHR functionality and data collection capabilities constrained the ability to address IS questions. Collecting ePRO data required significant planning and organizational champions adept at navigating ambiguity.
Discussion: Bringing together CI and IS perspectives offers critical opportunities for monitoring and managing cancer symptoms via ePROs. Discussions between CI and IS researchers identified and addressed gaps between applied informatics implementation and theory-based IS trial and evaluation methods. The use of common terminology may foster shared mental models between CI and IS communities to enhance EHR design to more effectively facilitate ePRO implementation and clinical responses.
Conclusion: Implementation of ePROs in ambulatory oncology clinics benefits from common understanding of the concepts, lexicon, and incentives between CI implementers and IS researchers to facilitate and measure the results of implementation efforts.