Covid-19 transforms health care through telemedicine
Evidence from the field
Bibliographic Data
| ID | 23322983 |
|---|---|
| Authors | David Mann (0000-0002-2099-0852, NYU Langone Health, corresponding author), Devin M Mann (NYU Grossman School of Medicine), Ji Chen (0000-0002-9476-1737, NYU Langone Health), Rumi Chunara (0000-0002-5346-7259, New York University), Paul Testa (0000-0001-9111-3796, NYU Langone Health), Paul A Testa (Medical Center Information Technology, NYU Langone Health, New York, New York, USA), Oded Nov (0000-0001-6410-2995, Department of Technology Management and Innovation, NYU Tandon School of Engineering, Brooklyn, New York, USA) |
| Year | 2020 |
| Volume | 27 |
| Issue | 7 |
| Pages | 1132-1135 |
| Publication date | 2020-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of the American Medical Informatics Association (JOURNAL) |
| Journal identifiers | ISSN: 1067-5027 • E-ISSN: 1527-974X |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/jamia/ocaa072 |
| PMID | 32324855 |
| OpenAlex | W3019006697 |
| Language | EN |
| Citations received | 73 |
| References cited | 4 |
This study provides data on the feasibility and impact of video-enabled telemedicine use among patients and providers and its impact on urgent and nonurgent healthcare delivery from one large health system (NYU Langone Health) at the epicenter of the coronavirus disease 2019 (COVID-19) outbreak in the United States. Between March 2nd and April 14th 2020, telemedicine visits increased from 102.4 daily to 801.6 daily. (683% increase) in urgent care after the system-wide expansion of virtual urgent care staff in response to COVID-19. Of all virtual visits post expansion, 56.2% and 17.6% urgent and nonurgent visits, respectively, were COVID-19–related. Telemedicine usage was highest by patients 20 to 44 years of age, particularly for urgent care. The COVID-19 pandemic has driven rapid expansion of telemedicine use for urgent care and nonurgent care visits beyond baseline periods. This reflects an important change in telemedicine that other institutions facing the COVID-19 pandemic should anticipate.
2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19) · Field (mathematics) · Health care · Outbreak · Pathology · Political science · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) · Telemedicine · Computer Science · COVID-19 diagnosis using AI · Mathematics · Medicine · Mobile Health and mHealth Applications · Telemedicine and Telehealth Implementation · Virology
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| Unique citing works | 73 |
|---|---|
| Citations per year | 10,43 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 68 |