BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260413T095402EDT-7299jtvhVs@132.216.98.100 DTSTAMP:20260413T135402Z DESCRIPTION:\n\nAnand Bhardwaj\, a doctoral student at in the Strategy and Organization area will be presenting his thesis defense entitled:\n\nAI and OR scheduling: Entangling knowledge and artificial int elligence in healthcare\n\nTuesday\, March 24\, 2026\, at 10:00 a.m. \n (Th e defense will be conducted in hybrid mode)\n\nStudent Committee Co-chairs : Professor Samer Faraj​​​​​​​\n\n\nAbstract\n\nArtificial intelligence (A I) technologies in healthcare routinely achieve high levels of accuracy an d predictive performance\, yet rarely become embedded in everyday care wor kflows. Understanding this disconnect requires looking beyond technical de sign to the everyday forms of knowing that make such processes work\, and how these forms of knowing are captured in development. Prior research hig hlights the importance of domain knowledge in AI development but offers li mited insight into how multiple situated forms of knowing are negotiated\, represented\, or excluded as technical systems take shape. This dissertat ion examines how organizational knowing relates to the development and imp lementation of a process-specialized AI for operating room (OR) scheduling across two ultra-specialty hospitals developing similar technologies with a common vendor. Drawing on 131 hours of observation\, 74 interviews\, an d in-depth project documentation\, I trace how the process of OR schedulin g was understood\, represented\, and enacted during AI development. Each h ospital mobilized different local schedule “experts” and thus produced dis tinct interpretations of what problems could be solved with technology. As a consequence\, process-as-represented\, formalized in scheduling protoco ls and project documents\, diverged from the cross-occupational process-in -practice enacted by surgeons\, clerks\, nurses\, and administrators. Acro ss both sites\, development unfolded through provisionally mobilizing loca l knowledge\, influencing which process knowings-in-practice were included and encoded in the algorithm\, and which were excluded. Elements of the A I system grounded in articulated knowings-in-practice materialized and per sisted in ongoing work\, while those based on excluded forms of knowing di ssipated once the projects ended. The study contributes to relational view s on technology and organizing by showing that in the context of emergent\ , negotiated work such as in healthcare\, there may be no singular ground truth of the process toward which AI development converges\, but rather th at AI enacts partial and competing versions of the process. It further con tributes to research on knowledge and knowing in organizations by showing how cross-occupational work processes are sustained by the ongoing negotia tion of multiple incommensurate forms of knowing\, even as technical syste ms selectively stabilize some while excluding others. Together\, these ins ights explain why many technically excellent AI systems in healthcare fail to take hold: because negotiating knowing is the norm rather than the exc eption\, and most systems are not designed to negotiate.\n DTSTART:20260324T140000Z DTEND:20260324T160000Z SUMMARY:PhD Thesis Defense Presentation: Anand Bhardwaj URL:/desautels/channels/event/phd-thesis-defense-prese ntation-anand-bhardwaj-371979 END:VEVENT END:VCALENDAR