Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting

We introduce a multi-institutional data harvesting (MIDH) method for longitudinal observation of medical imaging utilization and reporting. By tracking both large-scale utilization and clinical imaging results data, the MIDH approach is targeted at measuring surrogates for important disease-related...

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Detalles Bibliográficos
Autores principales: Wismüller, Axel, DSouza, Adora M., Abidin, Anas Z., Ali Vosoughi, M., Gange, Christopher, Cortopassi, Isabel O., Bozovic, Gracijela, Bankier, Alexander A., Batra, Kiran, Chodakiewitz, Yosef, Xi, Yin, Whitlow, Christopher T., Ponnatapura, Janardhana, Wendt, Gary J., Weinberg, Eric P., Stockmaster, Larry, Shrier, David A., Shin, Min Chul, Modi, Roshan, Lo, Hao Steven, Kligerman, Seth, Hamid, Aws, Hahn, Lewis D., Garcia, Glenn M., Chung, Jonathan H., Altes, Talissa, Abbara, Suhny, Bader, Anna S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388980/
https://www.ncbi.nlm.nih.gov/pubmed/35986059
http://dx.doi.org/10.1038/s41746-022-00653-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388980/
https://www.ncbi.nlm.nih.gov/pubmed/35986059
http://dx.doi.org/10.1038/s41746-022-00653-2

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