Video-Based Communication Assessment: Development of an Innovative System for Assessing Clinician-Patient Communication
UMass Chan Affiliations
Department of Medicine, Division of Geriatric MedicineMeyers Primary Care Institute
Document Type
Journal ArticlePublication Date
2019-02-14Keywords
communicationcrowdsourcing
health care
mobile phone
patient-centered care
video-based communication assessment
Health Communication
Health Information Technology
Health Services Administration
Medical Education
Telemedicine
Metadata
Show full item recordAbstract
Good clinician-patient communication is essential to provide quality health care and is key to patient-centered care. However, individuals and organizations seeking to improve in this area face significant challenges. A major barrier is the absence of an efficient system for assessing clinicians' communication skills and providing meaningful, individual-level feedback. The purpose of this paper is to describe the design and creation of the Video-Based Communication Assessment (VCA), an innovative, flexible system for assessing and ultimately enhancing clinicians' communication skills. We began by developing the VCA concept. Specifically, we determined that it should be convenient and efficient, accessible via computer, tablet, or smartphone; be case based, using video patient vignettes to which users respond as if speaking to the patient in the vignette; be flexible, allowing content to be tailored to the purpose of the assessment; allow incorporation of the patient's voice by crowdsourcing ratings from analog patients; provide robust feedback including ratings, links to highly rated responses as examples, and learning points; and ultimately, have strong psychometric properties. We collected feedback on the concept and then proceeded to create the system. We identified several important research questions, which will be answered in subsequent studies. The VCA is a flexible, innovative system for assessing clinician-patient communication. It enables efficient sampling of clinicians' communication skills, supports crowdsourced ratings of these spoken samples using analog patients, and offers multifaceted feedback reports.Source
JMIR Med Educ. 2019 Feb 14;5(1):e10400. doi: 10.2196/10400. Link to article on publisher's site
DOI
10.2196/10400Permanent Link to this Item
http://hdl.handle.net/20.500.14038/40983PubMed ID
30710460Related Resources
Rights
© Kathleen M Mazor, Ann M King, Ruth B Hoppe, Annie O Kochersberger, Jie Yan, Jesse D Reim. Originally published in JMIR Medical Education (http://mededu.jmir.org), 14.02.2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on http://mededu.jmir.org/, as well as this copyright and license information must be included.Distribution License
http://creativecommons.org/licenses/by/4.0/ae974a485f413a2113503eed53cd6c53
10.2196/10400
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © Kathleen M Mazor, Ann M King, Ruth B Hoppe, Annie O Kochersberger, Jie Yan, Jesse D Reim. Originally published in JMIR Medical Education (http://mededu.jmir.org), 14.02.2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on http://mededu.jmir.org/, as well as this copyright and license information must be included.
Related items
Showing items related by title, author, creator and subject.
-
Design and Testing of a Novel Communication System for Non-Vocal Critical Care Patients With Limited Manual DexterityGoldberg, Miriam A. (2020-06-16)Nonvocal alert patients in the intensive care unit setting often struggle to communicate due to inaccessible or unavailable tools for augmentative and alternative communication. A novel communication tool, the Manually-Operated Communication System (MOCS), was developed for use in intensive care settings for patients unable to speak due to mechanical ventilation. It is a speech-generating device designed for patients whose limited manual dexterity precludes legible writing. In a single-arm device feasibility trial, 14 participants (11 with tracheostomies, 2 with endotracheal tubes, and 1 recently extubated) used MOCS. Participants, family members, and observing nurses were interviewed whenever possible. Interviews included a modified version of the System Usability Scale (SUS) as well as open-ended questions; a qualitative immersion/crystallization approach was used to evaluate these responses. Participants with a tracheostomy and their family members/care providers rated MOCS on the SUS questions as consistently “excellent” (average rating across all groups was 84 +/- 17; all subgroups also rated the device highly). Through a qualitative interview process, these stakeholders expressed support for the use of MOCS in the ICU. Based on these data, MOCS has the potential to improve communication for nonvocal patients with limited manual dexterity.
-
Effective Epidemic Control and Source Tracing Through Mobile Social Sensing over WBANsZhang, Zhaoyang; Wang, Honggang; Lin, Xiaodong; Fang, (Julia) Hua; Xuan, Dong (2013-04-15)Accurate and real-time tracing of epidemic sources is critical for epidemic origin analyses and control when outbreaks of epidemic diseases occur. Such tracing requires the simultaneous availability of information about social interactions among people as well as their body vital signs. Existing epidemic control methods are limited due to their inability to collect the above two types of information at the same time. In this paper, for the first time, we propose integrating wireless body area networks (WBANs) for body vital signs collection with mobile phones for social interaction sensing to achieve the desired epidemic source tracing. In particular, we design a mobile phone capability driven hierarchical social interaction detection framework integrated with WBANs. With this framework, we further propose a set of epidemic source tracing and control algorithms including genetic algorithm based search and dominating set identification algorithms to effectively identify epidemic sources and inhibit epidemic spread. We have also conducted extensive simulations, analyses, and case studies based on real data sets, which demonstrate the accuracy and effectiveness of our proposed solutions.
-
Bridging Vital Signs and Social Interactions for Resource Constrained Epidemic ControlZhang, Zhaoyang; Wang, Honggang; Lee, Ken C. K.; Fang, (Julia) Hua (2013-05-01)This paper proposes a new approach that uses people's social interaction behavior collected by mobile phones and vital signs collected by wireless body area networks (WBAN) for epidemic control. By this approach, infectious people who are socially active can be quickly identified to be quarantined. To realize this approach, we introduce a notion of critical network and critical node identification algorithm. Observing some resource constraints such as quarantine cost and hardware limitation, we focus on optimizing the proposed approach such that high epidemic control effectiveness is achieved while the corresponding overhead is minimized. Our simulation results demonstrate that our approach can effectively control the spread of epidemic diseases in various situations.