WhatsApp messaging improves communication in an oral and maxillofacial surgery team

Koparal, Mahmut; Ünsal, Haluk Yener; Alan, Hilal; Üçkardeş, Fatih; Gülsün, Belgin

doi:10.1016/j.ijmedinf.2019.103987

Cited by 29 publications

(25 citation statements)

References 13 publications

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“…Another study by Koparal et al examined a group of maxillofacial surgeons using WhatsApp to communicate among the team and provide consultations between surgeons. Out of all consultations, 62.8% were conducted via messages, with the majority engaging a consultant who was not in the hospital 28 . Similarly, Paik et al found that plastic surgery telehealth consult response time was, on average, 4.5 minutes, whereas in‐person response time was an average of 56 minutes.…”

Section: Discussionmentioning

confidence: 99%

“…Out of all consultations, 62.8% were conducted via messages, with the majority engaging a consultant who was not in the hospital. 28 Similarly, Paik et al found that plastic surgery telehealth consult response time was, on average, 4.5 minutes, whereas in-person response time was an average of 56 minutes. The immense difference between these two response times shows how rapidly telehealth consultations can take place and therefore greatly decreasing wait times for patients.…”

Section: Surgical Decision Making and Inpatient Care Phasementioning

confidence: 94%

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COVID‐19: A catalyst for change in virtual health care utilization for persons with limb loss

Hewitt

Smith

Heckman

et al. 2021

PM&R

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The dramatic uptake of virtual care, or telehealth, utilization because of COVID-19 restrictions for persons with limb loss has led to a much greater understanding of this health care delivery method for this complex patient population. However, much is still unknown. Therefore, the authors provide a comprehensive literature review of existing evidence for virtual care delivery across the phases of amputation rehabilitation, as well as anecdotal evidence, to provide a platform for further discussion and development of research and innovative opportunities. Evidence reveals that virtual care serves as a complement to in-person health care for individuals with limb loss because it allows for increased accessibility to these services. The authors conclude that continued use of telehealth beyond the COVID-19 restrictions to optimize outcomes across the continuum of care for persons with limb loss is warranted.

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Section: Discussionmentioning

confidence: 99%

Section: Surgical Decision Making and Inpatient Care Phasementioning

confidence: 94%

COVID‐19: A catalyst for change in virtual health care utilization for persons with limb loss

Hewitt

Smith

Heckman

et al. 2021

PM&R

View full text Add to dashboard Cite

show abstract

“…A17 17 Avaliar a eficiência das mensagens do WhatsApp como um modo de consulta em uma equipe cirúrgica maxilofacial. Grupo de WhatsApp composto por cirurgiões e juniores criado para discussão dos casos com mensagens de texto,voz e imagem.…”

Section: Discussionunclassified

The Use of the Whatsapp Mobile Application in Health: Integrative Review

Santos¹,

Nunes²,

Reis³

et al. 2021

REME

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“…[1]. It is an alternative messaging service to Short Message Services (SMS) with many benefits such as low-cost [2]; supporting group conversation [3]; supporting rich multimodal medium of communication (text, photos, videos, emoticon, documents and also location) [4]; and more secure with end-to-end encryption [5]. Recently WhatsApp has dominated the messaging app market with over 1.5 billion monthly users worldwide [6].…”

Section: Introductionmentioning

confidence: 99%

Smart Dissemination by Using Natural Language Processing Technology

Fahrudin

Kastaman

Meideni

et al. 2020

JISEBI

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Background: Recently, WhatsApp has become the world's most popular text and voice messaging application with 1.5 billion users. A lot of WhatsApp Application Programming Interface (API) has also been established to be connected to other applications. On the other hand, the development of natural language processing (NLP) for WhatsApp messages has snowballed. There are extensive studies on the dissemination information using WhatsApp but the study on NLP involving data from WhatsApp is lacking.Objective: This study aims to implement NLP in smart dissemination applications by using WhatsApp API.Methods: We build a framework that embeds an intelligent system based on the NLP in WhatsApp API to disseminate a dynamic message. Some of the sentences are used to evaluate the accuracy of this application.Results: Smart dissemination consists of dynamic filter and dynamic content. Dynamic filter was conducted by using the POS tagger and clause statement. Meanwhile, dynamic content was built by using the replace MySQL function. There are twofold limitation: the application could not transform a message that matches rule <3> with conjunction “dan”; has the same attribute before and after <CC> tag; and the maximum of the logical operator is one type for coordinating conjunction (AND/OR) in one sentence.Conclusion: Our framework can be used for dynamic dissemination of messages using dynamic message content and dynamic message recipient with an accuracy of 95% from twenty sample messages.

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WhatsApp messaging improves communication in an oral and maxillofacial surgery team

Cited by 29 publications

References 13 publications

COVID‐19: A catalyst for change in virtual health care utilization for persons with limb loss

COVID‐19: A catalyst for change in virtual health care utilization for persons with limb loss

The Use of the Whatsapp Mobile Application in Health: Integrative Review

Smart Dissemination by Using Natural Language Processing Technology

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