Madhu C Reddy1, M Michael Shabot, Erin Bradner. 1. College of Information Sciences and Technology, The Pennsylvania State University, 321J IST Building, University Park, PA 16802-6823, USA. mreddy@ist.psu.edu
Abstract
PURPOSE: This study evaluates the collaborative features of a critical care system, CV, used in a surgical intensive care unit (SICU). In the evaluation, we take a socio-technical perspective--a view that the technical features of the system and social features of the work are fundamentally interrelated. METHODS: We utilized qualitative data collection and analysis methods. We undertook seven months of observations and conducted more than thirty interviews of healthcare providers in the SICU. RESULTS: We found that there are a wide variety of collaborative activities such as morning rounds and medication administration that a critical care system must support. We further found that CV supports healthcare providers by providing them awareness of others' activities. DISCUSSION: We discuss the issue of awareness in greater detail. We also provide some recommendations on how to evaluate how well a system supports collaborative features such as multiple perspectives on information, workflow dependences, and context.
PURPOSE: This study evaluates the collaborative features of a critical care system, CV, used in a surgical intensive care unit (SICU). In the evaluation, we take a socio-technical perspective--a view that the technical features of the system and social features of the work are fundamentally interrelated. METHODS: We utilized qualitative data collection and analysis methods. We undertook seven months of observations and conducted more than thirty interviews of healthcare providers in the SICU. RESULTS: We found that there are a wide variety of collaborative activities such as morning rounds and medication administration that a critical care system must support. We further found that CV supports healthcare providers by providing them awareness of others' activities. DISCUSSION: We discuss the issue of awareness in greater detail. We also provide some recommendations on how to evaluate how well a system supports collaborative features such as multiple perspectives on information, workflow dependences, and context.
Authors: David C Mohr; Aaron R Lyon; Emily G Lattie; Madhu Reddy; Stephen M Schueller Journal: J Med Internet Res Date: 2017-05-10 Impact factor: 5.428