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EMRBots are experimental artificially generated electronic medical records (EMRs).[1][2] The aim of EMRBots is to allow non-commercial entities (such as universities) to use the artificial patient repositories to practice statistical and machine-learning algorithms. Commercial entities can also use the repositories for any purpose, as long as they do not create software products using the repositories.
A letter published in Communications of the ACM emphasizes the importance of using synthetic medical data, "... EMRBots can generate a synthetic patient population of any size, including demographics, admissions, comorbidities, and laboratory values. A synthetic patient has no confidentiality restrictions and thus can be used by anyone to practice machine learning algorithms."[3]
- ^ Kartoun, Uri (September 2019). "Advancing informatics with electronic medical records bots (EMRBots)". Software Impacts. 2: 100006. doi:10.1016/j.simpa.2019.100006.
- ^ Kartoun, Uri (2016). "A methodology to generate virtual patient repositories". arXiv:1608.00570 [cs.CY].
- ^ CACM Staff (1 January 2018). "A leap from artificial to intelligence". Communications of the ACM. 61 (1): 10–11. doi:10.1145/3168260.