Patient preference for virtual versus in‐person visits in neuromuscular clinical practice

Kushlaf, Hani; Hafeez, Komal; Joseph, Anny-Claude; Zaeem, Zoya; Siddiqi, Zaeem A.; LaBoy, Shannon; Pulley, Michael; Habib, Ali A; Robbins, Nathaniel M.; Zadeh, Sean; Hafeez, Muhammad Ubaid; Hussain, Yessar; Melendez-Zaidi, Alexandria Ellen; Kassardjian, Charles D.; Johnson, Kristin; Leonhard, Holly; Biliciler, Suur; Murillas, Jorge E Patino; Shaibani, Aziz

doi:10.1002/mus.27641

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Current literature suggests an increasing demand for web-based consultations [63][64][65][66]. On the basis of this evidence, it is reasonable and efficient to equip undergraduates in communication skills training for health care professionals with the possibility to practice with virtual patient-health care provider encounters.…”

Section: Web-based Consultationsmentioning

confidence: 99%

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review

Stamer¹,

Steinhäuser²,

Flägel³

2023

J Med Internet Res

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Background Communication is a crucial element of every health care profession, rendering communication skills training in all health care professions as being of great importance. Technological advances such as artificial intelligence (AI) and particularly machine learning (ML) may support this cause: it may provide students with an opportunity for easily accessible and readily available communication training. Objective This scoping review aimed to summarize the status quo regarding the use of AI or ML in the acquisition of communication skills in academic health care professions. Methods We conducted a comprehensive literature search across the PubMed, Scopus, Cochrane Library, Web of Science Core Collection, and CINAHL databases to identify articles that covered the use of AI or ML in communication skills training of undergraduate students pursuing health care profession education. Using an inductive approach, the included studies were organized into distinct categories. The specific characteristics of the studies, methods and techniques used by AI or ML applications, and main outcomes of the studies were evaluated. Furthermore, supporting and hindering factors in the use of AI and ML for communication skills training of health care professionals were outlined. Results The titles and abstracts of 385 studies were identified, of which 29 (7.5%) underwent full-text review. Of the 29 studies, based on the inclusion and exclusion criteria, 12 (3.1%) were included. The studies were organized into 3 distinct categories: studies using AI and ML for text analysis and information extraction, studies using AI and ML and virtual reality, and studies using AI and ML and the simulation of virtual patients, each within the academic training of the communication skills of health care professionals. Within these thematic domains, AI was also used for the provision of feedback. The motivation of the involved agents played a major role in the implementation process. Reported barriers to the use of AI and ML in communication skills training revolved around the lack of authenticity and limited natural flow of language exhibited by the AI- and ML-based virtual patient systems. Furthermore, the use of educational AI- and ML-based systems in communication skills training for health care professionals is currently limited to only a few cases, topics, and clinical domains. Conclusions The use of AI and ML in communication skills training for health care professionals is clearly a growing and promising field with a potential to render training more cost-effective and less time-consuming. Furthermore, it may serve learners as an individualized and readily available exercise method. However, in most cases, the outlined applications and technical solutions are limited in terms of access, possible scenarios, the natural flow of a conversation, and authenticity. These issues still stand in the way of any widespread implementation ambitions.

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Section: Web-based Consultationsmentioning

confidence: 99%

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review

Stamer¹,

Steinhäuser²,

Flägel³

2023

J Med Internet Res

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“…Este manejo, como se ha mencionado, puede ser en forma presencial o a través de sesiones virtuales, en México y con datos no publicados, se cuenta con la experiencia de médicos rehabilitadores que han hecho uso de las sesiones virtuales para tratar y dar seguimiento a pacientes con COVID persistente y con buenos resultados, esto abre la posibilidad de implementar las sesiones a distancia para el manejo y control de ciertas patologías que afectan el área musculoesquelética, pues es sabido que muchos pacientes prefieren la privacidad que brinda una sesión virtual, además de la comodidad del uso de la tecnología, lo que probablemente incremente la telemedicina en algunos campos. 7 Este tema tan interesante y muchos más serán presentados en el XXVII Congreso Mexicano de Medicina Física y Rehabilitación y 4to. Congreso Internacional «Actualización en Rehabilitación» a celebrarse en la ciudad de Mérida, Yucatán del 21 al 24 de septiembre del presente año, por lo que te invitamos a inscribirte y compartir experiencias.…”

Section: The Persistent Covid or Long-covid: A New Field Of Action Fo...unclassified

El COVID persistente o long-COVID: un nuevo campo de acción de la Medicina de Rehabilitación

Rodríguez¹

2021

Revista Mexicana De Medicina Física Y Rehabilitación

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“…One of the main problems reported by patients during similar virtual visits organized during the COVID-19 pandemic was the lack of face-to-face communication and clinical examination, with most preferring a face-to-face visit or at least video communication [ 10 ]. In another study, patients indicated that interactions during a face-to-face visits were of high personal importance [ 11 ]. Another study that examined patient satisfaction and experiences with virtual visits found that technical difficulties were associated with lower overall satisfaction [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Prescription Trends of Biologic DMARDs in Treating Rheumatologic Diseases: Changes of Medication Availability in COVID-19

Radić,

Đogaš,

Vrkić

et al. 2023

JPM

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Biologic disease-modifying antirheumatic drugs (DMARDs) are very effective in treating rheumatic diseases with a good patient tolerance. However, high cost and individualistic approach requires dedication of the physician. Therefore, the aim of this study was to determine how the COVID-19 pandemic has affected the prescription of biologic DMARDs in rheumatology at the University Hospital of Split. The data collection was conducted through an archive search in the Outpatient Clinic for Rheumatology in the University Hospital of Split, Split, Croatia. The search included the period before and after the start of the COVID-19 pandemic in Croatia (31 March 2020). Collected data included age, sex, ICD-10 code of diagnosis, generic and brand name of the prescribed drug, date of therapy initiation, and medication administration route. In the pre-COVID-19 period, 209 patients were processed, while in the COVID-19 period, 185 patients were processed (11.5% fewer). During pre-COVID-19, 231 biologic medications were prescribed, while during COVID-19, 204. During COVID-19, IL-6 inhibitors were less prescribed (48 (21%) vs. 21 (10%) prescriptions, p = 0.003), while IL-17A inhibitors were more prescribed (39 (17%) vs. 61 (30%) prescriptions, p = 0.001). In ankylosing spondylitis (AS), adalimumab was prescribed more during pre-COVID-19 (25 vs. 15 patients, p = 0.010), while ixekizumab was prescribed less (1 vs. 10 patients, p = 0.009). In rheumatoid arthritis, tocilizumab was prescribed more in the pre-COVID-19 period (34 vs. 10 patients, p = 0.012). Overall, the prescription trends of biologic DMARDs for rheumatologic diseases did not vary significantly in the University Hospital of Split, Croatia. Tocilizumab was prescribed less during COVID-19 due to shortages, while ixekizumab was more prescribed during COVID-19 due to an increase in psoriatic arthritis patients processed and due to being approved for treating AS.

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Patient preference for virtual versus in‐person visits in neuromuscular clinical practice

Cited by 5 publications

References 16 publications

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review

El COVID persistente o long-COVID: un nuevo campo de acción de la Medicina de Rehabilitación

Prescription Trends of Biologic DMARDs in Treating Rheumatologic Diseases: Changes of Medication Availability in COVID-19

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