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Medical School Collaboration: Transporting Critically Ill Children

Medical School Collaboration: Transporting Critically Ill Children. Creating and Consuming Medical Information on the Fly. Collaboration with Stanford Hospital. Content: Supporting information-mediated collaboration during transport of critically ill infants and children

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Medical School Collaboration: Transporting Critically Ill Children

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  1. Medical School Collaboration: Transporting Critically Ill Children Creating and Consuming Medical Information on the Fly

  2. Collaboration with Stanford Hospital • Content: Supporting information-mediated collaboration during transport of critically ill infants and children • Purpose: Study information production and consumption in mobile setting with well-defined user tasks • Strategy: Study current process with ethnographic techniques Construct partial prototype Gather feedback and refine Transition to funding from medical sources

  3. (Sub-) Agenda • Karen Butler: ethnographic study of information flow • Nigel Choi and Ryan Radecki: Snapshot of evolving prototype

  4. Transporting Critically Ill Infants from Regional Hospitals to Stanford Hospital 1 ReceivingHospital ReferringHospital 4 2 3 PerformanceStatistics 5 6 TransportRecord WWW Proxy

  5. Current Breakdowns • Repetitive information capture and wasted staff time • Inconsistent data through repetition • Lost information • Delays/obstacles in timely information sharing • Lack of flexibility • Potential miscommunication over phone • Difficult to collect statistics

  6. Special Challenges and Constraints • Harsh environmental conditions for information capture • Mobility issues • Event driven data production/consumption • Multiple users • Significant number of information items • Multiple artifacts, devices, equipment used • Interoperability with existing systems (export data models)

  7. User interviews, observations Participants: Transport Team, Respiratory RNs, MDs, Dispatchers, EMTs, Administrators.. Information Analysis/ Task Analysis Information Clustering Observational Study Hospital, Field Based Surprises Iterative Prototyping with Users Project Phases Overview

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