The Implementation of an Emergency Medicine Telehealth System During a Pandemic

Tresenriter, Megan; J, Holdaway; Killeen, J.P.; Chan, Theodore; Dameff, Christian

doi:10.1016/j.jemermed.2020.11.026

Cited by 13 publications

(11 citation statements)

References 12 publications

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“…In March 2020, the World Health Organization (WHO) declared SARS-CoV-2 (COVID-19) a pandemic [ 1 ]. Many local, state, and national governments instituted guidelines for physical distancing [ 2 , 3 ], and health systems expanded telehealth quickly, and telehealth visits increased across the USA and worldwide, including for supportive and survivorship care in cancer [ 4 , 5 ]. The policy changes in many countries with coverage of the telehealth visit at the same level as an in-person visit facilitated this transformation.…”

Section: Introductionmentioning

confidence: 99%

Disparities in telehealth use: How should the supportive care community respond?

Dixit

Sebille

Crawford

et al. 2021

Support Care Cancer

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Telehealth use has increased in the setting of the COVID-19 pandemic. However, there are disparities in telehealth use based on age, income, race/ethnicity, low health, digital literacy, and limited English proficiency. There are multilevel barriers to telehealth use at the patient, health systems, telehealth portal, and policy levels. To ensure equity in telehealth services and to leverage these services to maximize the reach of health care services, concerted efforts are needed to design telehealth tools and workflows. It should include reimbursement for staff training, patient education, and technical support needed for telehealth use. Furthermore, ongoing monitoring and responsive modifications in the use of telehealth services are needed to promote telehealth equity.

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Section: Introductionmentioning

confidence: 99%

Disparities in telehealth use: How should the supportive care community respond?

Dixit

Sebille

Crawford

et al. 2021

Support Care Cancer

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show abstract

“…The simulation was a powerful tool for converting several under-utilized exam rooms into a pooled telehealth resource that improved room utilization and exam room availability across departments. The intent was to accommodate future volume growth for telehealth demands in outpatient clinics (Patel et al, 2021;Tresenriter et al, 2021;Wang et al, 2021). It also provided an opportunity for designers to create dedicated telehealth rooms.…”

Section: Discussionmentioning

confidence: 99%

Discrete Event Simulation for Clinic Design

Zamani¹

2023

IJEAS

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There has been an increasing demand for outpatient services that support patient experience and quality of care. Consequently, healthcare systems aspire to reduce operational costs and improve resource utilization through different strategies. Given the complexity of multi-department outpatient healthcare facility operations, DES has been recognized as an effective tool for evaluating performance outcomes and design decisions. The purpose of this study was to introduce Discrete Event Simulation (DES) as an effective tool in the architecture planning of a multi-department outpatient clinic. The DES integrated patient flow, schedules, proposed layout, and staffing information to identify space and staff utilization, wait for the provider (WFP), and wait for the room (WFR). The study explored the effects of pooling decentralized registration desks into a centralized desk and staffing with additional kiosks for the primary care departments. We also converted underutilized exam rooms into telehealth rooms, flexible consult-exam rooms, and dedicated pediatric waiting areas. registration pooling and kiosks improved staff resource utilization. Allocating additional providers and exam rooms to departments reduced their WFP and WFR. DES indicated minimal operational effects of transitioning underutilized exam rooms to alternate functions. This finding enabled us to determine if space allocation modifications negatively affected operations. The findings suggest the effectiveness of DES in analyzing the impact of alternative design strategies on operational outcomes through a data-driven approach. This understanding is valuable, as improved resource allocation and streamlined operation are associated with cost reduction and enhanced patient and staff satisfaction.

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“…Psychiatric patients can be treated easily through digital media. Tresenriter et al [ 13 ] had stated the fruitful implementation of telehealth on emergency medicine in the phase of corona virus pandemic. Plenty of patients were successfully treated through this approach.…”

Section: Literature Surveymentioning

confidence: 99%

Concurring of Neural Machines for Robust Session Key Generation and Validation in Telecare Health System During COVID-19 Pandemic

Dey¹,

Bhowmik²

2023

Wireless Pers Commun

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In this technique, it has been proposed to agree the session keys that have been generated through dual artificial neural networks based on the Telecare Health COVID-19 domain. Electronic health enables secure and protected communication between the patients and physicians, especially during this COVID-19 pandemic. Telecare was the main component which served the remote and non-invasive patients in the crisis period of COVID-19. Neural cryptographic engineering support in terms of data security and privacy is the main theme for Tree Parity Machine (TPM) synchronization in this paper. The session key has been generated on different key lengths and key validation done on the proposed set of robust session keys. A neural TPM network receives a vector designed through same random seed and producing a single output bit. Duo neural TPM networks’ intermediate keys would be partially shared between the patient and doctor for the purpose neural synchronization. Higher magnitude of co-existence has been observed at the duo neural networks at the Telecare Health Systems in COVID-19. This proposed technique has been highly protective against several data attacks in the public networks. Partial transmission of the session key disables the intruders to guess the exact pattern, and highly randomized through different tests. The average p -values of different session key lengths of 40 bits, 60 bits, 160 bits, and 256 bits were observed to be 221.9, 259.3, 242, and 262.8 (taken under multiplicative of 1000) respectively.

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The Implementation of an Emergency Medicine Telehealth System During a Pandemic

Cited by 13 publications

References 12 publications

Disparities in telehealth use: How should the supportive care community respond?

Disparities in telehealth use: How should the supportive care community respond?

Discrete Event Simulation for Clinic Design

Concurring of Neural Machines for Robust Session Key Generation and Validation in Telecare Health System During COVID-19 Pandemic

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