Literature Review on Human-Automation Interaction: Relationship Between Healthcare Automation and Human Error at Work
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61063-9_2
Reference19 articles.
1. Ahsen, M.E., Ayvaci, M.U.S., Raghunathan, S.: When algorithmic predictions use human-generated data: a bias-aware classification algorithm for breast cancer diagnosis. Inf. Syst. Res. 30(1), 97–116 (2019)
2. Burton, J.W., Stein, M.K., Jensen, T.B.: A systematic review of algorithm aversion in augmented decision making. J. Behav. Decis. Mak. 33(2), 220–239 (2020)
3. Carayon, P., Wooldridge, A., Hoonakker, P., Hundt, A.S., Kelly, M.M.: SEIPS 3.0: human-centered design of the patient journey for patient safety. Appl. Ergon. 84, 103033 (2020). https://doi.org/10.1016/j.apergo.2019.103033
4. Davenport, T., Kalakota, R.: The potential for artificial intelligence in healthcare. Future Healthc. J. 6(2), 94–98 (2019). https://doi.org/10.7861/futurehosp.6-2-94
5. Đorđević, M., et al.: Effects of automation on sustainability of Immunohistochemistry laboratory. Healthcare 9(7), 866 (2021). https://doi.org/10.3390/healthcare9070866
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