Reis, Lea and Maier, Christian and Mattke, Jens and Creutzenberg, Marcus and Weitzel, Tim (2020) Addressing User Resistance Would Have Prevented a Healthcare AI Project Failure. MIS QUARTERLY EXECUTIVE, 19 (4). pp. 279-296. ISSN 1540-1960, 1540-1979
Full text not available from this repository. (Request a copy)Abstract
Integrating artificial intelligence (AI) into existing work routines involves invasive changes, and the resulting user resistance can lead to project failure. We describe a failed AI project at a large hospital to implement a cognitive agent and identify the root causes of the user resistance that led to the failure. Based on the lessons learned, we provide recommendations for addressing the causes of resistance for the three types of AI-automation, decision support and engagement.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Anästhesiologie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 08 Mar 2021 07:02 |
| Last Modified: | 08 Mar 2021 07:02 |
| URI: | https://pred.uni-regensburg.de/id/eprint/43272 |
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