Affiliation:
1. University of Washington USA
Abstract
ABSTRACTExisting models of the work of analytics teams and how they impact health organizations do not describe the activities, nor their relationship to the organization, in sufficient detail for optimal decision making. This poster reports on an ongoing study of the work of healthcare and population health analytics teams to rectify this gap. We are interviewing members of analytics teams in healthcare and population health organizations to gather data on the processes, deliverables, downstream and upstream stakeholders, and artifacts that the teams rely on to conduct and manage their work. The primary analysis uses a grounded theory approach, with a secondary activity theory analysis of relationships between the analytics team, identified cognitive artifacts, and intended outcomes. In this poster, we intend to present the methods, participants, and some preliminary observations. We hope that this presentation will solicit feedback that leads to improvements in the study.
Subject
Library and Information Sciences,General Computer Science