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Multi-Level Linguistic Alignment in a Virtual Collaborative Problem-Solving Task
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Multi-Level Linguistic Alignment in a Virtual Collaborative Problem-Solving Task ...
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Precision communication: Physicians’ linguistic adaptation to patients’ health literacy
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In: Sci Adv (2021)
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Please, Please, Just Tell Me: The Linguistic Features of Humorous Deception
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In: Dialogue & Discourse; Vol 11 No 2 (2020); 128-149 ; 2152-9620 (2020)
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Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
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In: J Biomed Inform (2020)
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R Code for Replication of Example Application: Measuring Linguistic Alignment in Deception and Disagreement ...
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ALIGN: Analyzing Linguistic Interactions with Generalizable techNiques - a Python Library ...
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ALIGN: Analyzing Linguistic Interactions with Generalizable techNiques - a Python Library ...
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
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Schillinger, Dean; McNamara, Danielle; Crossley, Scott; Lyles, Courtney; Moffet, Howard H; Sarkar, Urmimala; Duran, Nicholas; Allen, Jill; Liu, Jennifer; Oryn, Danielle; Ratanawongsa, Neda; Karter, Andrew J. - : eScholarship, University of California, 2017
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Abstract:
Health systems are heavily promoting patient portals. However, limited health literacy (HL) can restrict online communication via secure messaging (SM) because patients' literacy skills must be sufficient to convey and comprehend content while clinicians must encourage and elicit communication from patients and match patients' literacy level. This paper describes the Employing Computational Linguistics to Improve Patient-Provider Secure Email (ECLIPPSE) study, an interdisciplinary effort bringing together scientists in communication, computational linguistics, and health services to employ computational linguistic methods to (1) create a novel Linguistic Complexity Profile (LCP) to characterize communications of patients and clinicians and demonstrate its validity and (2) examine whether providers accommodate communication needs of patients with limited HL by tailoring their SM responses. We will study >5 million SMs generated by >150,000 ethnically diverse type 2 diabetes patients and >9000 clinicians from two settings: an integrated delivery system and a public (safety net) system. Finally, we will then create an LCP-based automated aid that delivers real-time feedback to clinicians to reduce the linguistic complexity of their SMs. This research will support health systems' journeys to become health literate healthcare organizations and reduce HL-related disparities in diabetes care.
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Keyword:
Behavioral and Social Science; Bioengineering; Clinical Research; Communication; Diabetes; Diabetes Mellitus; Electronic Health Records; Electronic Mail; Health Literacy; Health Services; Humans; Internet; Medical Physiology; Networking and Information Technology R&D; Patient Safety; Physician-Patient Relations; Type 2
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URL: https://escholarship.org/uc/item/0384j5vf
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
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Social and configural effects on the cognitive dynamics of perspective-taking ...
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging
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