A scalable, secure, and interoperable platform for deep data-driven health management

• Published in: Nature communications Vol. 12; no. 1; pp. 5757 - 11
• Main Authors: Bahmani, Amir, Alavi, Arash, Buergel, Thore, Upadhyayula, Sushil, Wang, Qiwen, Ananthakrishnan, Srinath Krishna, Alavi, Amir, Celis, Diego, Gillespie, Dan, Young, Gregory, Xing, Ziye, Nguyen, Minh Hoang Huynh, Haque, Audrey, Mathur, Ankit, Payne, Josh, Mazaheri, Ghazal, Li, Jason Kenichi, Kotipalli, Pramod, Liao, Lisa, Bhasin, Rajat, Cha, Kexin, Rolnik, Benjamin, Celli, Alessandra, Dagan-Rosenfeld, Orit, Higgs, Emily, Zhou, Wenyu, Berry, Camille Lauren, Van Winkle, Katherine Grace, Contrepois, Kévin, Ray, Utsab, Bettinger, Keith, Datta, Somalee, Li, Xiao, Snyder, Michael P.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.10.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/2398; 631/114/2400; 631/114/2401; Big Data; Biomedical data; Computer Security; COVID-19; Dashboards; Data acquisition; Data Analysis; Data processing; Data Science - methods; Electronic health records; Electronic medical records; Health care; Health Information Interoperability; Humanities and Social Sciences; Humans; Information Storage and Retrieval; Insulin; Insulin resistance; Medical electronics; Medical Records Systems, Computerized; multidisciplinary; Personal health; Science; Science (multidisciplinary); Software; Source code; Wearable technology

The large amount of biomedical data derived from wearable sensors, electronic health records, and molecular profiling (e.g., genomics data) is rapidly transforming our healthcare systems. The increasing scale and scope of biomedical data not only is generating enormous opportunities for improving he...