Julie Diiulio

TL;DR: In this paper, the authors review approaches to function allocation in the context of human machine teaming and propose a set of strategies for distributing system functions and tasks across people and technology.

TL;DR: Interventions to improve pain care might focus on supporting sensemaking in the context of clinical evidence rather than attempting to provide clinicians with decontextualized and/or algorithm-based decision rules.

TL;DR: An evaluation of the ability of the Screening and Surveillance App to support primary care clinicians in tracking and managing colorectal cancer testing using the Decision-Centered Design framework shows promise for filling decision support gaps in current electronic health records.

TL;DR: This study designed the Chronic Pain Treatment Tracker, a novel approach to decision support that presents clinicians with the information they need in a structure that promotes quick uptake, understanding, and action.

TL;DR: In this paper, the authors conducted a qualitative study involving 30 interviews with 10 primary care clinicians and a subsequent multidisciplinary systems design workshop to identify information needs and decision support requirements for assessing, diagnosing and treating chronic noncancer pain in primary care.