Designing Collaborative Healthcare Technology for the Acute Care Workflow

Gonzales, Michael J.; Cheung, Vanice C.; Riek, Laurel D.

doi:10.4108/icst.pervasivehealth.2015.259287

Cited by 13 publications

(16 citation statements)

References 39 publications

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“…For the diagnostic, understanding the clinical workflow is of chief importance while introducing novel tools and interaction techniques. Other authors [11,30] present many considerations for collaborative healthcare technology design and discuss the implications of their findings on the current clinical workflow for the development of more effective care interventions. Supported by the above literature, our goal is to introduce a new tool with several novel interaction techniques, which will improve the final medical imaging diagnosis.…”

Section: Clinical Workflowmentioning

confidence: 99%

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

Calisto,

Nunes,

Nascimento

2020

Preprint

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This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual interface for multimodal diagnosis of breast cancer (BreastScreening); 2) Insights from the field comparison of Single-Modality vs Multi-Modality screening of breast cancer diagnosis with 31 clinicians and 566 images; and 3) The visualization of the two main types of breast lesions in the following image modalities: (i) MammoGraphy (MG) in both Craniocaudal (CC) and Mediolateral oblique (MLO) views; (ii) UltraSound (US); and (iii) Magnetic Resonance Imaging (MRI). We summarize our work with recommendations from the radiologists for guiding the future design of medical imaging interfaces. CCS CONCEPTS• Human-centered computing → User studies; Usability testing; Interaction techniques; User centered design; User interface design.

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Section: Clinical Workflowmentioning

confidence: 99%

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

Calisto,

Nunes,

Nascimento

2020

Preprint

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“…As Jessica put it, "When I was on ortho (orthopedics), I never had a code, and when I was in the ICU, I had maybe five or six codes in one week. " Furthermore, as each hospital has its own ways of dealing with code situations [27,28], travel nurses must quickly adopt to new procedures.…”

Section: Decision Supportmentioning

confidence: 99%

“…A potential approach to integrate automatic choreography generation with existing technology in the healthcare space is for the robot to present the generated choreography on an existing shared display [12,26,27,62]. Using color-coded position pads on the ground which aligns with the shared mental model, team members can easily interpret where they should be positioned at any given time.…”

Section: Choreographymentioning

confidence: 99%

“…For the past few years, our group has been developing a series of intelligent systems that work with interprofessional teams in safety critical settings [24,27,42,76]. In this work, we explore the use of our Robot-Centric Team Support System (RoboTSS), comprised of a series of modules which have the ability to engage in group detection, tracking, motion forecasting, and interaction (See Fig.…”

Section: Introductionmentioning

confidence: 99%

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Coordinating Clinical Teams

Taylor

Lee

Kubota

et al. 2019

Proc. ACM Hum.-Comput. Interact.

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Patient safety errors account for over 400,000 preventable deaths annually in US in hospitals alone, 70% of which are caused by team communication breakdowns, stemming from hierarchical structures and asymmetrical power dynamics between physicians, nurses, patients, and others. Nurses are uniquely positioned to identify and prevent these errors, but they are often penalized for speaking up, particularly when physicians are responsible. Nevertheless, empowering nurses and building strong interdisciplinary teams can lead to improved patient safety and outcomes. Thus, our group has been developing a series of intelligent systems that support teaming in safety critical settings, Robot-Centric Team Support System (RoboTSS), and recently developed a group detection and tracking system for collaborative robots. In this paper, we explore how RoboTSS can be used to empower nurses in interprofessional team settings, through a three month long, collaborative design process with nurses across five US-based hospitals. The main findings and contributions of this paper are as follows. First, we found that participants envisioned using a robotic crash cart to guide resuscitation procedures to improve efficiency and reduce errors. Second, nurses discussed how RoboTSS can generate choreography for efficient spatial reconfigurations in co-located clinical teams, which is particularly important in time-sensitive situations such as resuscitation. Third, we found that nurses want to use RoboTSS to "stop the line", and disrupt power dynamics by policing unsafe physician behavior, such as avoiding safety protocols using a robotic crash cart. Fourth, nurses envisioned using our system to support real-time error identification, such as breaking the sterile field, and then communicating those errors to physicians, to relieve them of responsibility. Finally, based on our findings, we propose robot design implications that capture how nurses envision utilizing RoboTSS. We hope this work promotes further exploration in how to design technology to challenge authority in asymmetrical power relationships, particularly in healthcare, as strong teams save lives.

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“…Previously, we conducted an ethnographic field study that involved environmental walkthroughs, observations of mock codes, and contextual inquiries at two regional and one urban US hospital [13].…”

Section: Visual Task: System Designmentioning

confidence: 99%

Visual TASK: A Collaborative Cognitive Aid for Acute Care Resuscitation

Gonzales¹,

Henry²,

Calhoun³

et al. 2016

Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare

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Preventable medical errors are a severe problem in healthcare, causing over 400,000 deaths per year in the US in hospitals alone. In acute care, the branch of medicine encompassing the emergency department (ED) and intensive care units (ICU), error rates may be higher to due low situational awareness among clinicians performing resuscitation on patients. To support cognition, novice team leaders may rely on reference guides to direct and anticipate future steps. However, guides often act as a fixation point, diverting the leader's attention away from the team. To address this issue, we conducted a qualitative study that evaluates a collaborative cognitive aid co-designed with clinicians called Visual TASK. Our study explored the use of Visual TASK in three simulations employing a projected shared display with two different interaction modalities: the Microsoft Kinect and a touchscreen. Our results suggest that tools like the Kinect, while useful in other areas of acute care like the OR, are unsuitable for use in high-stress situations like resuscitation. We also observed that fixation may not be constrained to reference guides alone, and may extend to other objects in the room. We present our findings, and a discussion regarding future avenues in which collaborative cognitive aids may help in improving situational awareness in resuscitation.

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Designing Collaborative Healthcare Technology for the Acute Care Workflow

Cited by 13 publications

References 39 publications

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

Coordinating Clinical Teams

Visual TASK: A Collaborative Cognitive Aid for Acute Care Resuscitation

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