Abstract
This article describes the successful collaboration "in the wild"between Clinical Documentation Integrity Specialists (CDIS) and an Artificial Intelligence (AI)-embedded software to conduct knowledge work. CDIS review patient charts in near real-time to improve clinicians' documentation, with the goal to make medical documentation more accurate, consistent and complete. CDIS collaborate with an AI-embedded "Computer Assisted Coding"(CAC) system that scans records from the Electronic Healthcare Record and auto-suggests codes based on natural language processing. CDIS find the CAC's suggestions are often inaccurate - often humorously so. Still, they find the CAC to be a useful helper, like Robin is to Batman. This human-AI collaboration is contingent on several factors: the flexible integration of the AI into the workflow similar to the notion of unremarkable AI; supporting the CDIS' sensemaking; the CDIS' knowledge about the CAC being predictably unreliable, an experience by the CDIS of the AI's value; humans remaining in control; and ability to experiment with the AI, which spurs reflection and learning for these knowledge workers.
Originalsprog | Engelsk |
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Artikelnummer | 26 |
Tidsskrift | ACM Transactions on Computer-Human Interaction |
Vol/bind | 30 |
Nummer | 2 |
Antal sider | 29 |
ISSN | 1073-0516 |
DOI | |
Status | Udgivet - apr. 2023 |