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Recent advancements in artificial intelligence (AI) have increased the potential to develop technologies to evaluate and support patient-clinician communication. One example is CommSense, an AI-supported communication technology designed by our team to record and analyze clinical conversations and provide clinicians with actionable, tailored feedback to enhance communication performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To explore system-level considerations to successfully implement communication technologies into healthcare contexts, using CommSense as an example case.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This descriptive qualitative study used a purposive sampling strategy to recruit participants with communication expertise across four categories: administrators; industry; policymakers; and scientists. Semi-structured interviews focused on: 1) general barriers to patient-clinician communication; and 2) implementation considerations for integrating communication technologies into healthcare systems. Interviews were audio-recorded, transcribed verbatim, verified, and then analyzed using a combination of inductive and deductive coding strategies to identify broader patterns and themes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Participants (n=13) discussed general barriers to quality communication between patients and clinicians, including: inadequate clinician communication training; generalized versus tailored patient communication; and hesitancy to initiate conversations with patients regarding difficult or sensitive issues, such as advance care planning. System-level implementation considerations focused on: the importance of integrating AI-supported communication technologies within existing health system infrastructure, clinical workflows, and policies and procedures; engagement of champions throughout the implementation process; and intentionality with the design and delivery of communication performance feedback. Participants also emphasized the particular benefit of communication technologies to support trainees and their learning.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>AI-supported communication technologies have the potential to address persistent barriers to quality communication within healthcare. Our findings demonstrate the importance of including decision-makers and outside experts across multiple domains to ensure successful implementation of AI-supported communication tools within complex healthcare systems.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20552076261464754","type":"journal-article","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T15:35:21Z","timestamp":1782488121000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Implementing artificial intelligence (AI)-supported communication tools in healthcare: System-level perspectives"],"prefix":"10.1177","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6994-4515","authenticated-orcid":false,"given":"Carmen M.","family":"Diaz","sequence":"first","affiliation":[{"name":"University of Virginia School of Nursing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6411-8273","authenticated-orcid":false,"given":"Kelly L.","family":"Reed","sequence":"additional","affiliation":[{"name":"University of Virginia School of Nursing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8224-5164","authenticated-orcid":false,"given":"Laura E.","family":"Barnes","sequence":"additional","affiliation":[{"name":"University of Virginia School of Engineering & Applied Science"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8820-2536","authenticated-orcid":false,"given":"Tabor","family":"Flickinger","sequence":"additional","affiliation":[{"name":"University of Virginia School of Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8706-4227","authenticated-orcid":false,"given":"Trish","family":"Truong","sequence":"additional","affiliation":[{"name":"University of Virginia School of Nursing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1611-2053","authenticated-orcid":false,"given":"Zhiyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Virginia School of Engineering & Applied Science"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1299-4730","authenticated-orcid":false,"given":"Virginia","family":"LeBaron","sequence":"additional","affiliation":[{"name":"University of Virginia School of Nursing"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,6,26]]},"reference":[{"key":"e_1_3_8_2_2","first-page":"1","article-title":"The Importance of Effective Communication in Healthcare Practice","volume":"23","author":"Ratna H","year":"2019","unstructured":"Ratna H. 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