New York City Health + Hospitals is the largest safety-net health care delivery system in the United States. Before the coronavirus disease 2019 (COVID-19) pandemic, NYC Health + Hospitals served more than one million patients annually, including the most vulnerable New Yorkers, while billing fewer than five hundred telehealth visits monthly. Once the pandemic struck, we established a strategy to allow us to continue to serve our existing patients while treating the surge of new patients. Starting in March 2020, we were able to transform the system using virtual care platforms through which we conducted almost eightythree thousand billable televisits in one month, as well as more than thirty thousand behavioral health encounters via telephone and video. Telehealth also enabled us to support patient-family communication, postdischarge follow-up, and palliative care for patients with COVID-19. Expanded Medicaid coverage and insurance reimbursement for telehealth played a pivotal role in this transformation. As we move to a new blend of virtual and in-person care, it is vital that the major regulatory and insurance changes undergirding our COVID-19 telehealth response be sustained to protect access for our most vulnerable patients.

In recent years, 'Cyber Security' has emerged as a widely-used term with increased adoption by practitioners and politicians alike. However, as with many fashionable jargon, there seems to be very little understanding of what the term really entails. Although this is may not be an issue when the term is used in an informal context, it can potentially cause considerable problems in context of organizational strategy, business objectives, or international agreements. In this work, we study the existing literature to identify the main definitions provided for the term 'Cyber Security' by authoritative sources. We then conduct various lexical and semantic analysis techniques in an attempt to better understand the scope and context of these definitions, along with their relevance. Finally, based on the analysis conducted, we propose a new improved definition that we then demonstrate to be a more representative definition using the same lexical and semantic analysis techniques.

Objectives: The purpose of this study was to assess the feasibility and clinical impact of telemedicine-based opioid treatment with buprenorphine-naloxone following the Coronavirus disease 2019 pandemic. Methods: Participants included in this retrospective analysis consisted of adult New York City residents with opioid use disorder eligible for enrollment in the NYC HealthþHospitals Virtual Buprenorphine Clinic between March and May 2020 (n ¼ 78). Follow-up data were comprised of rates of retention in treatment at 2 months, referrals to community treatment, and induction-related events. Results: During the initial 9 weeks of clinic operations, the clinic inducted 78 patients on to buprenorphine-naloxone and completed 252 visits. Patient referrals included non-NYC Health þ Hospitals (n ¼ 22, 28.2%) and NYC Health þ Hospitals healthcare providers (n ¼ 17, 21.8%), homeless shelter staff (n ¼ 13, 16.7%), and the NYC Health þ Hospitals jail reentry program in Rikers Island (n ¼ 11, 14.1%). At 8 weeks, 42 patients remained in care (53.8%), 21 were referred to a community treatment program (26.9%), and 15 were lost to follow-up (19.2%). No patients were terminated from care due to disruptive behavior or suspicions of diversion or misuse of Buprenorphine. Adverse clinical outcomes were uncommon and included persistent withdrawal symptoms (n ¼ 8, 4.3%) and one nonfatal opioid overdose (0.5%). Conclusions: Telemedicine-based opioid treatment and unobserved home induction on buprenorphine-naloxone offers a safe and feasible approach to expand the reach of opioid use disorder treatment, primary care, and behavioral health for a highly vulnerable urban population during an unprecedented natural disaster.