Batman and Robin in Healthcare Knowledge Work: Human-AI Collaboration by Clinical Documentation Integrity Specialists

Claus Bossen, Kathleen H. Pine

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

16 Citationer (Scopus)
506 Downloads (Pure)

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.

OriginalsprogEngelsk
Artikelnummer26
TidsskriftACM Transactions on Computer-Human Interaction
Vol/bind30
Nummer2
Antal sider29
ISSN1073-0516
DOI
StatusUdgivet - apr. 2023

Fingeraftryk

Dyk ned i forskningsemnerne om 'Batman and Robin in Healthcare Knowledge Work: Human-AI Collaboration by Clinical Documentation Integrity Specialists'. Sammen danner de et unikt fingeraftryk.

Citationsformater