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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 Precision communication: Physicians’ linguistic adaptation to patients’ health literacy Schillinger, Dean; Duran, Nicholas D.; McNamara, Danielle S.... In: Sci Adv (2021) BASE Show details 2 Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study Schillinger, Dean; Balyan, Renu; Crossley, Scott A.... In: Health Serv Res (2020) BASE Show details 3 Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study Brown, William; Balyan, Renu; Karter, Andrew J.; Crossley, Scott; Semere, Wagahta; Duran, Nicholas D.; Lyles, Courtney; Liu, Jennifer; Moffet, Howard H.; Daniels, Ryane; McNamara, Danielle S.; Schillinger, Dean In: J Biomed Inform (2020) Abstract: OBJECTIVE: In the National Library of Medicine funded ECLIPPSE Project (Employing Computational Linguistics to Improve Patient-Provider Secure Emails exchange), we attempted to create novel, valid, and scalable measures of both patients’ health literacy (HL) and physicians’ linguistic complexity by employing natural language processing (NLP) techniques and machine learning (ML). We applied these techniques to > 400,000 patients’ and physicians’ secure messages (SMs) exchanged via an electronic patient portal, developing and validating an automated patient literacy profile (LP) and physician complexity profile (CP). Herein, we describe the challenges faced and the solutions implemented during this innovative endeavor. MATERIALS AND METHODS: To describe challenges and solutions, we used two data sources: study documents and interviews with study investigators. Over the five years of the project, the team tracked their research process using a combination of Google Docs tools and an online team organization, tracking, and management tool (Asana). In year 5, the team convened a number of times to discuss, categorize, and code primary challenges and solutions. RESULTS: We identified 23 challenges and associated approaches that emerged from three overarching process domains: (1) Data Mining related to the SM corpus; (2) Analyses using NLP indices on the SM corpus; and (3) Interdisciplinary Collaboration. With respect to Data Mining, problems included cleaning SMs to enable analyses, removing hidden caregiver proxies (e.g., other family members) and Spanish language SMs, and culling SMs to ensure that only patients’ primary care physicians were included. With respect to Analyses, critical decisions needed to be made as to which computational linguistic indices and ML approaches should be selected; how to enable the NLP-based linguistic indices tools to run smoothly and to extract meaningful data from a large corpus of medical text; and how to best assess content and predictive validities of both the LP and the CP. With respect to the Interdisciplinary Collaboration, because the research required engagement between clinicians, health services researchers, biomedical informaticians, linguists, and cognitive scientists, continual effort was needed to identify and reconcile differences in scientific terminologies and resolve confusion; arrive at common understanding of tasks that needed to be completed and priorities therein; reach compromises regarding what represents “meaningful findings” in health services vs. cognitive science research; and address constraints regarding potential transportability of the final LP and CP to different health care settings. DISCUSSION: Our study represents a process evaluation of an innovative research initiative to harness “big linguistic data” to estimate patient HL and physician linguistic complexity. Any of the challenges we identified, if left unaddressed, would have either rendered impossible the effort to generate LPs and CPs, or invalidated analytic results related to the LPs and CPs. Investigators undertaking similar research in HL or using computational linguistic methods to assess patient-clinician exchange will face similar challenges and may find our solutions helpful when designing and executing their health communications research. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186847/ http://www.ncbi.nlm.nih.gov/pubmed/33316421 https://doi.org/10.1016/j.jbi.2020.103658 BASE Hide details 4 Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis. Khoong, Elaine C; Cherian, Roy; Matta, George Y... In: Journal of medical Internet research, vol 21, iss 5 (2019) BASE Show details 5 Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study Semere, Wagahta; Crossley, Scott; Karter, Andrew J.... In: J Gen Intern Med (2019) BASE Show details 6 Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis Khoong, Elaine C; Cherian, Roy; Matta, George Y. - : JMIR Publications, 2019 BASE Show details 7 A Randomized Clinical Trial of Group Acupuncture for Painful Diabetic Neuropathy Among Diverse Safety Net Patients Chao, Maria T; Schillinger, Dean; Nguyen, Unity... In: Pain Med (2019) BASE Show details 8 Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims. Ratanawongsa, Neda; Quan, Judy; Handley, Margaret A... In: BMC health services research, vol 18, iss 1 (2018) BASE Show details 9 Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims ... Ratanawongsa, Neda; Quan, Judy; Handley, Margaret. - : Figshare, 2018 BASE Show details 10 Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims ... Ratanawongsa, Neda; Quan, Judy; Handley, Margaret. - : Figshare, 2018 BASE Show details 11 The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging. Schillinger, Dean; McNamara, Danielle; Crossley, Scott. - : eScholarship, University of California, 2017 BASE Show details 12 The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging. Schillinger, Dean; McNamara, Danielle; Crossley, Scott. - : eScholarship, University of California, 2017 BASE Show details 13 Health Literacy, Health Care Utilization, and Direct Cost of Care Among Linguistically Diverse Patients with Type 2 Diabetes Mellitus Doyle, Gerardine; Gibney, Sarah; Quan, Judy. - : SLACK Incorporated, 2017 BASE Show details 14 The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging Schillinger, Dean; McNamara, Danielle; Crossley, Scott. - : Hindawi Publishing Corporation, 2017 BASE Show details 15 Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis. Quan, Judy; Lee, Alexandra K; Handley, Margaret A... In: Population health management, vol 18, iss 6 (2015) BASE Show details 16 Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis Quan, Judy; Lee, Alexandra K.; Handley, Margaret A.. - : Mary Ann Liebert, Inc., 2015 BASE Show details 17 Diabetes health information technology innovation to improve quality of life for health plan members in urban safety net. Ratanawongsa, Neda; Handley, Margaret A; Sarkar, Urmimala... In: Ratanawongsa, Neda; Handley, Margaret A; Sarkar, Urmimala; Quan, Judy; Pfeifer, Kelly; Soria, Catalina; et al.(2014). Diabetes health information technology innovation to improve quality of life for health plan members in urban safety net. The Journal of ambulatory care management, 37(2), 127 - 137. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/3jw0n5sm (2014) BASE Show details 18 ESL Participation as a Mechanism for Advancing Health Literacy in Immigrant Communities SANTOS, MARICEL G.; HANDLEY, MARGARET A.; OMARK, KARIN. - 2014 BASE Show details 19 Diabetes Health Information Technology Innovation to Improve Quality of Life for Health Plan Members in Urban Safety Net Ratanawongsa, Neda; Handley, Margaret A.; Sarkar, Urmimala. - 2014 BASE Show details 20 Safety events during an automated telephone self-management support intervention. Lyles, Courtney R; Schillinger, Dean; Lopez, Andrea... In: Journal of diabetes science and technology, vol 7, iss 3 (2013) BASE Show details Page: 1 2

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 4 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 28 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0