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Coordinating Clinical Teams: Using Robots to Empower Nurses to Stop the Line

Published: 07 November 2019 Publication History

Abstract

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.

References

[1]
H. S. Ahn, M. H. Lee, and B. A. MacDonald. 2015. Healthcare robot systems for a hospital environment: CareBot and ReceptionBot. In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 571--576.
[2]
A. F. Arriaga, A. M. Bader, J. M. Wong, S. R. Lipsitz, W. R. Berry, J. E. Ziewacz, D. L. Hepner, D. J. Boorman, C. N. Pozner, D. S. Smink, et almbox. 2013. Simulation-based trial of surgical-crisis checklists. New England Journal of Medicine, Vol. 368, 3 (2013), 246--253.
[3]
J. E. Bardram and C. Bossen. 2005. Mobility work: The spatial dimension of collaboration at a hospital. Computer supported cooperative work (CSCW), Vol. 14, 2 (2005), 131--160.
[4]
E. P. S. Baumer. 2017. Toward human-centered algorithm design. Big Data & Society, Vol. 4, 2 (2017).
[5]
B. A. Bechky. 2006. Gaffers, gofers, and grips: Role-based coordination in temporary organizations. Organization science, Vol. 17, 1 (2006), 3--21.
[6]
E. Björgvinsson, P. Ehn, and P. Hillgren. 2010. Participatory design and democratizing innovation. In Proceedings of the 11th Biennial participatory design conference. ACM, 41--50.
[7]
J. Braithwaite, R. Clay-Williams, Garth S. Hunte, and R. L. Wears. 2017. Understanding resilient clinical practices in emergency department ecosystems. In Resilient Health Care . Vol. 89. ROUTLEDGE in association with GSE Research, 89--102.
[8]
J. L. Burke, R. R. Murphy, M. D. Coovert, and D. L. Riddle. 2004. Moonlight in Miami: Field study of human-robot interaction in the context of an urban search and rescue disaster response training exercise. Human-Computer Interaction, Vol. 19, 1--2 (2004), 85--116.
[9]
R. J. Burke, E. S.W. Ng, and J. Wolpin. 2015. Economic austerity and healthcare restructuring: correlates and consequences of nursing job insecurity. The International Journal of Human Resource Management, Vol. 26, 5 (2015), 640--656.
[10]
P. Caleb-Solly, S. Dogramadzi, D. Ellender, and H. van den Fear, T.and Heuvel. 2014. A mixed-method approach to evoke creative and holistic thinking about robots in a home environment. In Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction. ACM, 374--381.
[11]
A. J. Card. 2014. Patient safety: this is public health. Journal of Healthcare Risk Management, Vol. 34, 1 (2014), 6--12.
[12]
J. Casper and R. R. Murphy. 2003. Human-robot interactions during the robot-assisted urban search and rescue response at the world trade center. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Vol. 33, 3 (2003), 367--385.
[13]
K. Charmaz. 2014. Constructing grounded theory .Sage.
[14]
E. Cheon and N. M. Su. 2017. Configuring the User: Robots have Needs Too. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 191--206.
[15]
T. C. Clapper and G. M. Ng. 2013. Why your TeamSTEPPS program may not be working. Clinical Simulation in Nursing, Vol. 9, 8 (2013), e287--e292.
[16]
P. F. Clark, D. A. Clark, D. V. Day, and D. G. Shea. 2001. Healthcare reform and the workplace experience of nurses: Implications for patient care and union organizing. ILR Review, Vol. 55, 1 (2001), 133--148.
[17]
A. F. Coburn and Z. Gage-Croll. 2011. Improving hospital patient safety through teamwork: The use of TeamSTEPPS in critical access hospitals. challenge, Vol. 5 (2011), 7.
[18]
A. Cordar, A. Robb, A. Wendling, S. Lampotang, C. White, and B. Lok. 2015. Virtual role-models: using virtual humans to train best communication practices for healthcare teams. In International Conference on Intelligent Virtual Agents. Springer, 229--238.
[19]
C. D. Cramton. 2001. The mutual knowledge problem and its consequences for dispersed collaboration. Organization science, Vol. 12, 3 (2001), 346--371.
[20]
S. Dekker. 2016. Patient safety: a human factors approach .CRC Press.
[21]
M. O. Donahue, I. M. Piazza, M. Q. Griffin, P. C. Dykes, and J. J. Fitzpatrick. 2008. The relationship between nurses' perceptions of empowerment and patient satisfaction. Applied Nursing Research, Vol. 21, 1 (2008), 2--7.
[22]
V. Eubanks. 2012. Digital dead end: Fighting for social justice in the information age .MIT Press.
[23]
J. B. Fernando, T. Tanigawa, E. Naito, K. Yamagami, and J. Ozawa. 2012. Collision avoidance path planning for hospital robot with consideration of disabled person's movement characteristic. In 2012 IEEE 1st Global Conference on Consumer Electronics (GCCE). IEEE, 392--396.
[24]
A. Frank, A. Kubota, and L. D. Riek. 2019. Wearable activity recognition for robust human-robot teaming in safety-critical environments via hybrid neural networks. In Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE/RSJ.
[25]
A. Gawande. 2010. Checklist manifesto, the (HB) .Penguin Books India.
[26]
M. J. Gonzales. 2016. Safety-critical healthcare technology design .University of Notre Dame, PhD dissertation.
[27]
M. J. Gonzales, V. C. Cheung, and L. D. Riek. 2015. Designing collaborative healthcare technology for the acute care workflow. In Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare. 145--152.
[28]
M. J. Gonzales, J. M. Henry, A. W. Calhoun, and L. D. Riek. 2016. Visual task: A collaborative cognitive aid for acute care resuscitation. In Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare. 45--52.
[29]
M. J. Gonzales and L. D. Riek. 2013. Co-designing patient-centered health communication tools for cancer care. In Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare. 208--215.
[30]
P. Greco, H. K. S. Laschinger, and C. Wong. 2006. Leader empowering behaviours, staff nurse empowerment and work engagement/burnout. Nursing Leadership, Vol. 19, 4 (2006), 41--56.
[31]
S. Hirschauer. 1991. The manufacture of bodies in surgery. Social studies of science, Vol. 21, 2 (1991), 279--319.
[32]
M. Iftikhar and M. Mariappan. 2009. Otorob (Ortho robot) with Docmata (Doctor's eye): Role of remote presence in developing countries. In Second International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services, 2009. CENTRIC'09. IEEE, 51--56.
[33]
J. T. James. 2013. A new, evidence-based estimate of patient harms associated with hospital care. Journal of patient safety, Vol. 9, 3 (2013), 122--128.
[34]
B. Johnson, M. Runyon, A. Weekes, and D. Pearson. 2018. Team-focused cardiopulmonary resuscitation: prehospital principles adapted for emergency department cardiac arrest resuscitation. The Journal of emergency medicine, Vol. 54, 1 (2018), 54--63.
[35]
H. Jones and P. Hinds. 2002. Extreme work teams: using swat teams as a model for coordinating distributed robots. In Proceedings of the 2002 ACM conference on Computer Supported Cooperative Work. ACM, 372--381.
[36]
M. F. Jung, N. Martelaro, and P. J Hinds. 2015. Using robots to moderate team conflict: the case of repairing violations. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction. ACM, 229--236.
[37]
M. F. Jung, S. vS abanović, F. Eyssel, and M. Fraune. 2017. Robots in groups and teams. In Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 401--407.
[38]
R. M. Kanter. 2008. Men and women of the corporation: New edition .Basic books.
[39]
F. Kensing and J. Blomberg. 1998. Participatory design: Issues and concerns. Computer Supported Cooperative Work (CSCW), Vol. 7, 3--4 (1998), 167--185.
[40]
H. B. King, J. Battles, D. P. Baker, A. Alonso, E. Salas, J. Webster, L. Toomey, and M. Salisbury. 2008. TeamSTEPPS: team strategies and tools to enhance performance and patient safety. (2008).
[41]
M. E. Kleinman. 2010. Pediatric advanced life support: 2010 AHA Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Pediatrics, Vol. 126, 5 (2010).
[42]
A. Kubota, T. Iqbal, J. A. Shah, and L. D. Riek. 2019. Activity recognition in manufacturing: The roles of motion capture and sEMG
[43]
inertial wearables in detecting fine vs. gross motion. In International Conference on Robotics and Automation. IEEE.
[44]
L. Kuokkanen, H. Leino-Kilpi, and J. Katajisto. 2003. Nurse empowerment, job-related satisfaction, and organizational commitment. Journal of nursing care quality, Vol. 18, 3 (2003), 184--192.
[45]
H. K. S. Laschinger, S. Gilbert, L. M. Smith, and K. Leslie. 2010. Towards a comprehensive theory of nurse/patient empowerment: applying Kanter's empowerment theory to patient care. Journal of Nursing Management, Vol. 18, 1 (2010), 4--13.
[46]
L. E. Lassiter. 2005. The Chicago guide to collaborative ethnography .University of Chicago Press.
[47]
A. Lazar, H. J. Thompson, S. Lin, and G. Demiris. 2018. Negotiating Relation Work with Telehealth Home Care Companionship Technologies that Support Aging in Place. Proceedings of the ACM on Human-Computer Interaction, Vol. 2, CSCW (2018), 103.
[48]
H. Lee and L. D. Riek. 2018. Reframing assistive robots to promote successful aging. ACM Transactions on Human-Robot Interaction (THRI), Vol. 7, 1 (2018), 11.
[49]
H. Lee and S. vS abanović. 2013. Weiser's dream in the Korean home: collaborative study of domestic roles, relationships, and ideal technologies. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. ACM, 637--646.
[50]
H. Lee, S. vS abanović, W. Chang, D. Hakken, S. Nagata, J. Piatt, and C. Bennett. 2017b. Steps toward participatory design of social robots: mutual learning with older adults with depression. In 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI. IEEE, 244--253.
[51]
H. Lee, S. vS abanović, and S. S. Kwak. 2017a. Collaborative map making: A reflexive method for understanding matters of concern in design research. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 5678--5689.
[52]
H. Lee, S. vS abanovic, and E. Stolterman. 2014b. Stay on the boundary: artifact analysis exploring researcher and user framing of robot design. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems. ACM, 1471--1474.
[53]
H. Lee, S. vS abanović, and E. Stolterman. 2016. How humanlike should a social robot be: A user-centered exploration. In 2016 AAAI Spring Symposium Series .
[54]
H. Lee, J. Sung, S. vS abanović, and J. Han. 2012. Cultural design of domestic robots: A study of user expectations in Korea and the United States. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 803--808.
[55]
M. H. Lee, H. S. Ahn, K. Wang, and B. A. MacDonald. 2014a. Design of a healthcare sensor managing system for vital sign measuring devices. In International Conference on Simulation, Modeling, and Programming for Autonomous Robots . Springer, 521--532.
[56]
M. A. Makary, J. B. Sexton, J. A. Freischlag, C. G. Holzmueller, E. A. Millman, L. Rowen, and P. J. Pronovost. 2006. Operating room teamwork among physicians and nurses: teamwork in the eye of the beholder. Journal of the American College of Surgeons, Vol. 202, 5 (2006), 746--752.
[57]
S. Moharana, A. E. Panduro, H. Lee, and L. D. Riek. 2019. Robots for Joy, Robots for Sorrow: Community Based Robot Design for Dementia Caregivers. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 458--467.
[58]
M. Moosaei, S. K. Das, D. O. Popa, and L. D. Riek. 2017. Using facially expressive robots to calibrate clinical pain perception. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. ACM, 32--41.
[59]
T. Mukai, M. Onishi, T. Odashima, S. Hirano, and Z. Luo. 2008. Development of the tactile sensor system of a human-interactive robot “RI-MAN”. IEEE Transactions on Robotics, Vol. 24, 2 (2008), 505--512.
[60]
R. W. Neumar, C. W. Otto, M. S. Link, S. L. Kronick, M. Shuster, C. W. Callaway, P. J. Kudenchuk, J. P. Ornato, B. McNally, S. M. Silvers, et almbox. 2010. Part 8: adult advanced cardiovascular life support: 2010 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation, Vol. 122, 18_suppl_3 (2010), S729--S767.
[61]
A. Okuyama, C. Wagner, and B. Bijnen. 2014. Speaking up for patient safety by hospital-based health care professionals: a literature review. BMC Health Services Research, Vol. 14, 1 (2014), 61.
[62]
M. Omura, T. E. Stone, and T. Levett-Jones. 2018. Cultural factors influencing Japanese nurses' assertive communication: Part 2--hierarchy and power. Nursing & health sciences, Vol. 20, 3 (2018), 289--295.
[63]
H. RM. Pelikan, A. Cheatle, M. F. Jung, and S. J. Jackson. 2018. Operating at a Distance-How a Teleoperated Surgical Robot Reconfigures Teamwork in the Operating Room. Proceedings of the ACM on Human-Computer Interaction, Vol. 2, CSCW (2018), 138.
[64]
K. Pine. 2012. Fragmentation and choreography: caring for a patient and a chart during childbirth. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. ACM, 887--896.
[65]
R. Randell, N. Alvarado, S. Honey, J. Greenhalgh, P. Gardner, A. Gill, D. Jayne, A. Kotze, A. Pearman, and D. Dowding. 2015. Impact of robotic surgery on decision making: perspectives of surgical teams. In Proceedings of the AMIA Annual Symposium, Vol. 2015. American Medical Informatics Association, 1057.
[66]
R. Randell, S. Honey, N. Alvarado, A. Pearman, J. Greenhalgh, A. Long, P. Gardner, A. Gill, D. Jayne, and D. Dowding. 2016. Embedding robotic surgery into routine practice and impacts on communication and decision making: a review of the experience of surgical teams. Springer: Cognition, Technology & Work, Vol. 18, 2 (2016), 423--437.
[67]
M. Reddy and P. Dourish. 2002. A finger on the pulse: temporal rhythms and information seeking in medical work. In Proceedings of the 2002 ACM conference on Computer Supported Cooperative Work. ACM, 344--353.
[68]
L. C. Regan and L. Rodriguez. 2011. Nurse empowerment from a middle-management perspective: nurse managers' and assistant nurse managers' workplace empowerment views. The Permanente Journal, Vol. 15, 1 (2011), e101.
[69]
A. Richardson and J. Storr. 2010. Patient safety: a literative review on the impact of nursing empowerment, leadership and collaboration. International nursing review, Vol. 57, 1 (2010), 12--21.
[70]
L. D. Riek. 2017. Healthcare robotics. Communications of the ACM, Vol. 60, 11 (2017), 68--78.
[71]
A. Robb, A. Kleinsmith, A. Cordar, C. White, A. Wendling, S. Lampotang, and B. Lok. 2016. Training together: how another human trainee's presence affects behavior during virtual human-based team training. Frontiers in ICT, Vol. 3 (2016), 17.
[72]
A. Robb, C. White, A. Cordar, A. Wendling, S. Lampotang, and B. Lok. 2015. A comparison of speaking up behavior during conflict with real and virtual humans. Computers in Human Behavior, Vol. 52 (2015), 12--21.
[73]
R. M. Satava and A. M. Hunter. 2011. The surgical ensemble: choreography as a simulation and training tool. Surgical endoscopy, Vol. 25, 9 (2011), 3080--3086.
[74]
S. Seneviratne, Y. Hu, T. Nguyen, G. Lan, S. Khalifa, K. Thilakarathna, M. Hassan, and A. Seneviratne. 2017. A survey of wearable devices and challenges. IEEE Communications Surveys & Tutorials, Vol. 19, 4 (2017), 2573--2620.
[75]
L. Shi and D. A. Singh. 2014. Delivering health care in America .Jones & Bartlett Learning.
[76]
L. W. Sun and C. K. Yeung. 2007. Port placement and pose selection of the da Vinci surgical system for collision-free intervention based on performance optimization. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 1951--1956.
[77]
A. Taylor and L. D. Riek. 2018. Robot-Centric Human Group Detection. In 13th Annual ACM/IEEE International Conference on Human-Robot Interaction, Social Robots in the Wild Workshop. IEEE.
[78]
A. Taylor and L. D. Riek. 2019. Robot-Centric Perception of Human Groups. In 2019 ACM Trans. on HRI (THRI). In Review .
[79]
E. J. Thomas, J. B. Sexton, and R. L. Helmreich. 2003. Discrepant attitudes about teamwork among critical care nurses and physicians. Critical care medicine, Vol. 31, 3 (2003), 956--959.
[80]
A. L. Tucker, S. J. Singer, J. E. Hayes, and A. Falwell. 2008. Front-line staff perspectives on opportunities for improving the safety and efficiency of hospital work systems. Health Services Research, Vol. 43, 5p2 (2008), 1807--1829.
[81]
A. Vinciarelli, M. Pantic, and H. Bourlard. 2009. Social signal processing: Survey of an emerging domain. Image and vision computing, Vol. 27, 12 (2009), 1743--1759.
[82]
J. Wallace, P. C. Wright, J. McCarthy, D. P. Green, J. Thomas, and P. Olivier. 2013. A design-led inquiry into personhood in dementia. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2617--2626.
[83]
R. Wilson. 1953. Teamwork in the operating room. Human Organization, Vol. 12, 4 (1953), 9--14.
[84]
S. Wu, H. Yang, S. Zheng, H. Su, Y. Fan, and M. Yang. 2017. Crowd behavior analysis via curl and divergence of motion trajectories. International Journal of Computer Vision, Vol. 123, 3 (2017), 499--519.
[85]
Z. Zhang and A. Sarcevic. 2018. Coordination Mechanisms for Self-Organized Work in an Emergency Communication Center. Proceedings of the ACM on Human-Computer Interaction, Vol. 2, CSCW (2018), 199.

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    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 3, Issue CSCW
    November 2019
    5026 pages
    EISSN:2573-0142
    DOI:10.1145/3371885
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    Published: 07 November 2019
    Published in PACMHCI Volume 3, Issue CSCW

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    Author Tags

    1. grounded theory
    2. group perception
    3. hierarchy
    4. nurses
    5. patient safety
    6. robotic system
    7. teamwork

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