Quality Frameworks for Virtual Care: Expert Panel Recommendations

Demaerschalk, Bart M.; Hollander, Judd E.; Krupiński, Elizabeth A.; Scott, John D.; Albert, Daniel A.; Bobokalonova, Zarrina; Bolster, Marcy B.; Chan, Albert; Christopherson, Laura A.; Coffey, Jordan; Edgman‐Levitan, Susan; Goldwater, Jason; Hayden, Emily M.; Peoples, C.E; Rising, Kristin L.; Schwamm, Lee H

doi:10.1016/j.mayocpiqo.2022.12.001

Cited by 27 publications

(12 citation statements)

References 24 publications

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“…This framework embodies a convolutional neural network (CNN) [44], featuring a sequential configuration consisting of an input layer followed by four dense layers [45]. The design of this model is meticulously engineered to enable thorough analysis and interpretation of the intricate patterns inherent in the data collected from wearable devices [46]. The primary aim of this structured architecture is to achieve precise identification of indicative markers associated with heart disease.…”

Section: Resultsmentioning

confidence: 99%

Framework for Organization of Medical Processes in Medical Institutions Based on Big Data Technologies

Zhussipbek,

Turymbetov,

Ibragimova

et al. 2024

IJACSA

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This research paper delves into the burgeoning field of Big Data analytics in healthcare, proposing an innovative framework aimed at refining the organization and management of medical processes within healthcare institutions. Through the lens of detailed case studies, including stroke diagnosis leveraging the UNet model, and the identification of heart and respiratory diseases via machine learning algorithms applied to data from wearable devices, the study illuminates the profound capabilities of Big Data technologies in enhancing the precision of diagnostics, tailoring patient treatment, and elevating the overall efficiency of healthcare services. It meticulously interprets the outcomes of these applications, discusses the practical implications for healthcare professionals and institutions, confronts the challenges inherent in the integration of sophisticated analytics in clinical settings, and outlines potential directions for future research. Among the pivotal challenges highlighted are issues related to data privacy, security, the need for advanced infrastructure, and the imperative for ongoing training and interdisciplinary cooperation to navigate the complexities of Big Data in healthcare. The paper underscores the transformative promise of Big Data analytics, suggesting that comprehensive adoption and adept implementation could revolutionize healthcare delivery, making it more personalized, efficient, and cost-effective. Through this exploration, the paper contributes to the ongoing discourse on the integration of technology in healthcare, offering insights into how Big Data analytics can serve as a cornerstone for the next generation of medical diagnostics and patient care management, thereby enhancing health outcomes on a global scale.

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Section: Resultsmentioning

confidence: 99%

Framework for Organization of Medical Processes in Medical Institutions Based on Big Data Technologies

Zhussipbek,

Turymbetov,

Ibragimova

et al. 2024

IJACSA

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“…While the physicians we spoke with often mentioned the need for evidence-informed guidelines to assist decision-making around which patients to see in-person and when, decisions about visit modalities must be centred on the needs and preferences of patients, and physicians’ clinical judgement [ 13 , 62 ]. Discussing their experiences of providing virtual care in the context of their longitudinal family practices, our participants identified positive uses of virtual care in established, ongoing relationships with their patients, where they had a good understanding of patients’ conditions, and social and family circumstances.…”

Section: Discussionmentioning

confidence: 99%

“Technology has allowed us to do a lot more but it’s not necessarily the panacea for everybody”: Family physician perspectives on virtual care during the COVID-19 pandemic and beyond

Hedden,

Spencer,

Mathews

et al. 2024

PLoS ONE

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Introduction Early in the COVID-19 pandemic, Canadian primary care practices rapidly adapted to provide care virtually. Most family physicians lacked prior training or expertise with virtual care. In the absence of formal guidance, they made individual decisions about in-person versus remote care based on clinical judgement, their longitudinal relationships with patients, and personal risk assessments. Our objective was to explore Canadian family physicians’ perspectives on the strengths and limitations of virtual care implementation for their patient populations during the COVID-19 pandemic and implications for the integration of virtual care into broader primary care practice. Methods We conducted semi-structured qualitative interviews with family physicians working in four Canadian jurisdictions (Vancouver Coastal health region, British Columbia; Southwestern Ontario; the province of Nova Scotia; and Eastern Health region, Newfoundland and Labrador). We analyzed interview data using a structured applied thematic approach. Results We interviewed 68 family physicians and identified four distinct themes during our analysis related to experiences with and perspectives on virtual care: (1) changes in access to primary care; (2) quality and efficacy of care provided virtually; (3) patient and provider comfort with virtual modalities; and (4) necessary supports for virtual care moving forward. Conclusions The move to virtual care enhanced access to care for select patients and was helpful for family physicians to better manage their panels. However, virtual care also created access challenges for some patients (e.g., people who are underhoused or living in areas without good phone or internet access) and for some types of care (e.g., care that required access to medical devices). Family physicians are optimistic about the ongoing integration of virtual care into broader primary care delivery, but guidance, regulations, and infrastructure investments are needed to ensure equitable access and to maximize quality of care.

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“…With a focus on Long COVID, we did not investigate other important ethical and legal issues related to telemedicine practice in this survey. Future studies on the key quality issues in enhancing patient safety, privacy protection, informed consent process, and patient satisfaction are warranted [40].…”

Section: Discussionmentioning

confidence: 99%

Prevalence, Patterns, and Clinical Severity of Long COVID among Chinese Medicine Telemedicine Service Users: Preliminary Results from a Cross-Sectional Study

Kwong

et al. 2023

IJERPH

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Introduction: The emergence and persistence of symptoms after acute COVID-19 is expected to become a major burden on healthcare systems. We assessed the features of the post-COVID-19 Syndrome (Long COVID) burden in a cohort of COVID-19 patients during the fifth major wave in Hong Kong. Methods: A cross-sectional study of 135 patients with confirmed COVID-19 from Feb to Apr 2022 who utilized traditional Chinese medicine telemedicine services was conducted. The COVID-19 Yorkshire Rehabilitation Scale was administered using an online survey 12 weeks after the COVID-19 infection. Prevalence of symptom severity and functional impairments were assessed to identify burdens and patterns. The correlation between symptom severity, functional impairments, patient characteristics, and overall health was evaluated. Results: The mean age was 46.8 years, with 46 (34.1%) males. Symptoms, functional impairments, and overall health worsened significantly when compared to the status prior to the infection. More than 50% reported the following sequelae 12 weeks after the acute infection: breathlessness, laryngeal or airway complications, fatigue, weakness, sleep, cognition, and anxiety. The presence of a single symptom or functional impairment significantly correlated with at least seven other problems positively, except for pain. Severity tended to be higher among vulnerable groups, including those who were chronic disease patients, older, less well educated, female, or had incomplete COVID-19 vaccinations. Conclusions: Long COVID is a significant healthcare burden among telemedicine users in Hong Kong, with complex needs for symptom and functional impairment management. Designing relevant health and rehabilitation services tailored to the needs of these patients is warranted.

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Quality Frameworks for Virtual Care: Expert Panel Recommendations

Cited by 27 publications

References 24 publications

Framework for Organization of Medical Processes in Medical Institutions Based on Big Data Technologies

Framework for Organization of Medical Processes in Medical Institutions Based on Big Data Technologies

“Technology has allowed us to do a lot more but it’s not necessarily the panacea for everybody”: Family physician perspectives on virtual care during the COVID-19 pandemic and beyond

Prevalence, Patterns, and Clinical Severity of Long COVID among Chinese Medicine Telemedicine Service Users: Preliminary Results from a Cross-Sectional Study

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