[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-426957-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-426957-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","use-of-clinical-emr-systems-for-targeted-recruitment-of-older-adults-for-research-abstract-s2-facilitators-and-barriers","Use of Clinical EMR Systems for Targeted Recruitment of Older Adults for Research - Abstract S2 - Facilitators and Barriers","","Identifying older adults with specific diagnoses through Electronic Medical Records (EMR) offers a promising route for targeted research recruitment, especially given wide variation in functional and cognitive status, comorbidity clusters, medication patterns, functional decline, and frailty risk. Real-world adoption is hindered by missing or unreliable functional data, provider burden and burnout driven by EMR alert fatigue, compliance and regulatory complexities, and resistance or misunderstandings from institutional leaders. The presentation reviews facilitators and barriers to EMR-alert recruitment, includes a case study using early-stage lower-extremity wounds, and outlines solutions such as improved stratification of frailty, function, and care preferences.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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are EMR-based approaches promising for recruiting older adults?","Question",{"text":63,"@type":64},"They enable identification of participants with specific diagnoses and may support recruitment despite major heterogeneity in functional and cognitive status, comorbidity, medication use, and frailty risk.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What are the main barriers to using EMR systems for targeted recruitment?",{"text":68,"@type":64},"Barriers include lack of functional and accurate EMR data, provider burden and burnout from alert fatigue, compliance and regulatory issues, and occasional misperceptions or pushback from institutional leaders.",{"name":70,"@type":61,"acceptedAnswer":71},"What solutions are discussed to improve the effectiveness of EMR-based recruitment?",{"text":72,"@type":64},"The presentation suggests better stratification of frailty, function, and care preferences, alongside overcoming regulatory obstacles for effective implementation of these tools.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},426957,1791117805,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & 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Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":22,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":30},962090893677,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","Innovation in Aging, 2025, Vol. 9, No. S2 1303  \nAbstract citation ID: igaf122.4342  \nUSE OF CLINICAL EMR SYSTEMS FOR TARGETED RECRUITMENT OF OLDER ADULTS FOR RESEARCH:  \nFACILITATORS AND BARRIERS  \nLisa Kenyon-Pesce1, Roshanak Sharafieh1, Karina Berg1, Tina Ferrarotti1, George Kuchel2, Richard Fortinsky3,  \nIman Al-Naggar1, and Julie Robison3, 1. UConn Health, Farmington, Connecticut, United States, 2. UCONN HEALTH,  \nFarmington, Connecticut, United States, 3. University of Connecticut, Farmington, Connecticut, United States  \nIdentifying participants with specific diagnoses through the Electronic Medical Record (EMR) represents one of the most promising strategies for targeted research recruitment. Given the remarkable heterogeneity of the aging population in terms of functional and cognitive status, clusters of co-morbidities, medication use, decline of physical function and increased risk of frailty, EMR-based approaches should be especially helpful for recruitment in observational and interventional studies involving older adults. However, the implementation of this approach faces real-world obstacles that prevent expensive institutional investments in EMRs from meeting their full potential. These barriers include the absence of functional and accurate data in EMRs, provider burden and burnout resulting from EMR alert fatigue, compliance and regulatory issues, as well as occasional misperceptions and pushback among institutional leaders. This presentation aims to discuss facilitators and barriers of utilizing EMR alerts as a recruitment method for identifying patients for research studies. A case study highlights the challenges and benefits of using Electronic Medical Records (EMR) systems to recruit older adults with early-stage lower extremity wounds. In addition, we discuss potential solutions, such as better stratifying frailty, function, and care preferences, while overcoming regulatory obstacles in the effective implementation of these important tools.","cbCaikMR3oZJDKWu","https://ap.wps.com/l/cbCaikMR3oZJDKWu","pdf",1142886,"English","# Overview\n## Rationale for EMR-based recruitment\n## Facilitators and barriers to implementation\n## Case study: early-stage lower extremity wounds\n## Potential solutions and regulatory considerations","[{\"question\":\"Why are EMR-based approaches promising for recruiting older adults?\",\"answer\":\"They enable identification of participants with specific diagnoses and may support recruitment despite major heterogeneity in functional and cognitive status, comorbidity, medication use, and frailty risk.\"},{\"question\":\"What are the main barriers to using EMR systems for targeted recruitment?\",\"answer\":\"Barriers include lack of functional and accurate EMR data, provider burden and burnout from alert fatigue, compliance and regulatory issues, and occasional misperceptions or pushback from institutional leaders.\"},{\"question\":\"What solutions are discussed to improve the effectiveness of EMR-based recruitment?\",\"answer\":\"The presentation suggests better stratification of frailty, function, and care preferences, alongside overcoming regulatory obstacles for effective implementation of these tools.\"}]","Use of Clinical EMR Systems for Targeted Recruitment of Older Adults for Research - Abstract S2 - Facilitators and Barriers | PDF",1790642319]