In Reply: Telemedicine in Neurosurgery: Lessons Learned From a Systematic Review of the Literature for the COVID-19 Era and Beyond

Declaration of Computational Neurosurgery

Computational neurosurgery is a novel and disruptive field where artificial intelligence and computational modeling are used to improve the diagnosis, treatment, and prognosis of patients affected by diseases of neurosurgical relevance. The field aims to bring new knowledge to clinical neurosciences and inform on the profound questions related to the human brain by applying augmented intelligence, where the power of artificial intelligence and computational inference can enhance human expertise. This transformative field requires the articulation of ethical considerations that will enable scientists, engineers, and clinical neuroscientists, including neurosurgeons, to ensure that the use of such a powerful application is conducted based on the highest moral and ethical standards with a patient-centric approach to predict and prevent mistakes. This declaration is a first attempt to draw a roadmap to guide the application of practical or applied ethics to computational neurosurgery. It is intended for the use of practitioners, ethicists, and scientists using artificial intelligence to understand and treat all the pathophysiological conditions related to the human brain.

A Systematic Review of Outpatient Telemedicine Use in Neurosurgery Since the Start of Coronavirus Disease 2019

OBJECTIVE

The coronavirus disease 2019 (COVID-19) pandemic has sparked interest in telemedicine, resulting in an increase in neurosurgical publications focused on it. We summarize this new literature to evaluate telemedicine applications to neurosurgery.

METHODS

A systematic literature review was performed in accordance with the PRISMA guidelines by searching PubMed, Embase, and Scopus for journal articles published after January 1, 2020. All journal articles that included data after the start of COVID-19 and evaluated any aspect of telemedicine relevant to outpatient neurosurgical visits were included. The premise and key findings of each included study were extracted, as well as patient and provider satisfaction with and preference for telemedicine.

RESULTS

Thirty-seven articles met the inclusion criteria. Four studies proposed and evaluated a remote neurologic examination. Two studies reported similar postvisit outcomes between remote and in-person visits. Twenty-four studies reported a combination of patient and provider opinions toward telemedicine. Of 9834 patients and 116 providers, 82.4% and 65.2% were satisfied overall with telemedicine, respectively. Of 3526 patients and 168 providers, 57.0% and 66.5% preferred telemedicine to in-person visits, respectively.

CONCLUSIONS

Overall, most patients and providers have a high opinion of telemedicine for outpatient visits, and increasing evidence suggests that remote visits yield favorable clinical outcomes. The high rates of patient and provider satisfaction and preference may be considered for further adoption of remote neurosurgical visits beyond the COVID-19 era.

The Impact of Digital Health Transformation Driven by COVID-19 on Nursing Practice: Systematic Literature Review

Background

The COVID-19 pandemic has accelerated the uptake of digital health innovations due to the availability of various technologies and the urgent health care need for treatment and prevention. Although numerous studies have investigated digital health adoption and the associated challenges and strategies during the pandemic, there is a lack of evidence on the impact on the nursing workforce.

Objective

This study aims to identify the impact of digital health transformation driven by COVID-19 on nurses.

Methods

The online software Covidence was used to follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Relevant scientific health and computing databases were searched for papers published from January 2020 to November 2021. Using the 8D sociotechnical approach for digital health in health care systems, the papers were analyzed to identify gaps in applying digital health in nursing practice.

Results

In total, 21 papers were selected for content analysis. The analysis identified a paucity of research that quantifies the impact of the digital health transformation on nurses during the pandemic. Most of the initiatives were teleconsultation, followed by tele–intensive care unit (tele-ICU), and only 1 (5%) study explored electronic medical record (EMR) systems. Among the sociotechnical elements, the human-related factor was the most explored and the system measurement was the least studied item.

Conclusions

The review identified a significant gap in research on how implementing digital health solutions has impacted nurses during the COVID-19 pandemic. This gap needs to be addressed by further research to provide strategies for empowering the nursing workforce to be actively involved in digital health design, development, implementation, use, and evaluation.