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Journal of Medical Systems
Published in: Journal of Medical Systems 5/2020

01-05-2020 | Care | Mobile & Wireless Health

Evaluative Research of Technologies for Prehospital Communication and Coordination: a Systematic Review

Authors: Zhan Zhang, John Brazil, Mustafa Ozkaynak, Kristen Desanto

Published in: Journal of Medical Systems | Issue 5/2020

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Abstract

Various technologies have been designed and developed to support communication and coordination between the field and hospital during a medical emergency. The usability issues and human factors entailed in these new technologies are important to their application and effectiveness, suggesting the need to examine this information in a systematic review. The systematic review aims to synthesize the user-centered evaluative research of prehospital communication technologies. We conducted a systematic literature search in four databases (Medline, Cochrane, Embase, and Web of Science) for articles published between the years 2000 and 2019. We included articles that evaluated the technologies developed for supporting prehospital communication and collaboration, and were published in English. A total of 918 articles were retrieved and screened, with 17 articles included for in-depth analysis. Two authors conducted independent screens and reviews of the articles using a list of inclusion/exclusion criteria and defined factors. The types of technology of reviewed articles included ambulance-based telemedicine, wearable, handheld, and Internet of Things (IoT) devices. Even though these technologies have demonstrated high levels of user acceptance, the reviewed studies noted a variety of challenges faced by emergency care providers, which were grouped into three categories—technical, usability, and organizational challenges. Our review also highlighted the paucity of evaluative research of prehospital communication technologies and the lack of user engagement throughout system design process. Based on the results, we discuss the importance of adopting user-centered design approaches and accounting for three social-technical factors in designing technologies for time-critical medical settings, including cognitive and physical stressor, workflow, and context. This systematic review presents an overview of key evaluative research of prehospital communication technologies. The paucity of evaluative research in prehospital communication technology and challenges faced in adopting advanced technological solutions in emergency care highlight the need to adopt user-centered design and take into account socio-technical issues at the point of system design.
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Literature
1.
Sarcevic, A., and Burd, R. S., Information handover in time-critical work. In: Proceedings of the ACM 2009 International Conference on Supporting Group Work, 2009. ACM, 301–310.CrossRef
2.
Aase, K., Soeyland, E., and Hansen, B., A standardized patient handover process: Perceptions and functioning. Safety Science Monitor 15(2):1–9, 2011.
3.
Faraj, S., and Xiao, Y., Coordination in fast-response organizations. Management Science 52(8):1155–1169, 2006.CrossRef
4.
Meisel, Z. F., Shea, J. A., Peacock, N. J., Dickinson, E. T., Paciotti, B., Bhatia, R., Buharin, E., and Cannuscio, C. C., Optimizing the patient handoff between emergency medical services and the emergency department. Annals of emergency medicine 65(3):310–317, 2015 e311.PubMedCrossRef
5.
Rowlands, A., An evaluation of pre-hospital communication between ambulances and an accident and emergency department. London: SAGE Publications Sage UK, 2003.CrossRef
6.
Zhang, Z., Sarcevic, A., and Bossen, C., Constructing common information spaces across distributed emergency medical teams. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017. ACM, 934–947.
7.
Xiao, Y., Kim, Y. J., Gardner, S. D., Faraj, S., and MacKenzie, C. F., Communication technology in trauma centers: A national survey. Journal of Emergency Medicine 30(1):21–28, 2006.PubMedCrossRef
8.
Chan, T. C., Killeen, J., Griswold, W., and Lenert, L., Information technology and emergency medical care during disasters. Academic Emergency Medicine 11(11):1229–1236, 2004.PubMedCrossRef
9.
Salvemini, A. V., Challenges for user-interface designers of telemedicine systems. Telemedicine and e-Health 5(2):163–168, 1999.CrossRef
10.
Buck, S., Nine human factors contributing to the user acceptance of telemedicine applications: A cognitive-emotional approach. Journal of Telemedicine and Telecare 15(2):55–58, 2009.PubMedCrossRef
11.
Klaassen, B., van Beijnum, B. J., and Hermens, H. J., Usability in telemedicine systems—A literature survey. International Journal of Medical Informatics 93:57–69, 2016.PubMedCrossRef
12.
Viitanen, J., Hyppönen, H., Lääveri, T., Vänskä, J., Reponen, J., and Winblad, I., National questionnaire study on clinical ICT systems proofs: Physicians suffer from poor usability. International Journal of Medical Informatics 80(10):708–725, 2011.PubMedCrossRef
13.
Viitanen, J., and Kuusisto, A., Nykänen P usability of electronic nursing record systems: Definition and results from an evaluation study in Finland. Studies in Health Technology and Informatics, 2011, 333–338.
14.
Militello, L., Patterson, E. S., Tripp-Reimer, T., Asch, S. M., Fung, C. H., Glassman, P., and Anders, S., Doebbeling B clinical reminders: Why don't they use them? In: Proceedings of the human factors and ergonomics society annual meeting, 2004. Vol. 15. Los Angeles: SAGE Publications Sage CA, 1651–1655.
15.
Sarcevic, A., and Ferraro, N., On the use of electronic documentation systems in fast-paced, time-critical medical settings. Interacting with Computers 29(2):203–219, 2017.
16.
Middleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., Payne, T. H., Rosenbloom, S. T., Weaver, C., and Zhang, J., Enhancing patient safety and quality of care by improving the usability of electronic health record systems: Recommendations from AMIA. Journal of the American Medical Informatics Association 20(e1):e2–e8, 2013.PubMedPubMedCentralCrossRef
17.
Rogers, H., Madathil, K. C., Agnisarman, S., Narasimha, S., Ashok, A., Nair, A., Welch, B. M., and McElligott, J. T., A systematic review of the implementation challenges of telemedicine systems in ambulances. Telemedicine and e-Health 23(9):707–717, 2017.PubMedCrossRef
18.
Yperzeele, L., Van Hooff, R. J., De Smedt, A., Espinoza, A. V., Van Dyck, R., Van de Casseye, R., Convents, A., Hubloue, I., Lauwaert, D., and De Keyser, J., Feasibility of AmbulanCe-based telemedicine (FACT) study: Safety, feasibility and reliability of third generation in-ambulance telemedicine. PloS one 9(10):e110043, 2014.PubMedPubMedCentralCrossRef
19.
Moher, D., Liberati, A., Tetzlaff, J., and Altman, D. G., Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine 151(4):264–269, 2009.PubMedCrossRef
20.
Xiao, Y., Gagliano, D., LaMonte, M., Hu, P., Gaasch, W., Gunawadane, R., and Mackenzie, C., Design and evaluation of a real-time mobile telemedicine system for ambulance transport. Journal of High Speed Networks 9(1):47–56, 2000.
21.
Tollefsen, W. W., Gaynor, M., Pepe, M., Myung, D., Welsh, M., and Moulton, S., iRevive: A pre-hospital database system for emergency medical services. International Journal of Healthcare Technology and Management 6(4–6):454–469, 2005.CrossRef
22.
Tang, Z., Johnson, T. R., Tindall, R. D., and Zhang, J., Applying heuristic evaluation to improve the usability of a telemedicine system. Telemedicine and e-Health 12(1):24–34, 2006.PubMedCrossRef
23.
Sibert, K., Ricci, M. A., Caputo, M., Callas, P. W., Rogers, F. B., Charash, W., Malone, P., Leffler, S. M., Clark, H., and Salinas, J., The feasibility of using ultrasound and video laryngoscopy in a mobile telemedicine consult. Telemedicine and e-Health 14(3):266–272, 2008.PubMedCrossRef
24.
Reddy, M., Paul, S. A., Abraham, J., McNeese, M., DeFlitch, C., and Yen, J., Challenges to effective crisis management: Using information and communication technologies to coordinate emergency medical services and emergency department teams. International Journal of Medical Informatics 78(4):259–269, 2009.PubMedCrossRef
25.
Schooley, B., Abed, Y., Murad, A., Horan, T. A., and Roberts, J., Design and field test of an mHealth system for emergency medical services. Health and Technology 3(4):327–340, 2013.CrossRef
26.
Chapman Smith, S. N., Brown, P. C., Waits, K. H., Wong, J. S., Bhatti, M. S., Toqeer, Q., Ricks, J. V., Stockner, M. L., Habtamu, T., and Seelam, J., Development and evaluation of a user-centered Mobile Telestroke platform. Telemedicine and e-Health 25(7):638–648, 2019.PubMedCrossRef
27.
Bergrath, S., Rörtgen, D., Rossaint, R., Beckers, S. K., Fischermann, H., Brokmann, J. C., Czaplik, M., Felzen, M., Schneiders, M. T., and Skorning, M., Technical and organisational feasibility of a multifunctional telemedicine system in an emergency medical service – An observational study. Journal of Telemedicine and Telecare 17(7):371–377, 2011. https://​doi.​org/​10.​1258/​jtt.​2011.​110203.PubMedCrossRef
28.
Felzen, M., Brokmann, J. C., Beckers, S. K., Czaplik, M., Hirsch, F., Tamm, M., Rossaint, R., and Bergrath, S., Improved technical performance of a multifunctional prehospital telemedicine system between the research phase and the routine use phase–an observational study. Journal of Telemedicine and Telecare 23(3):402–409, 2017.PubMedCrossRef
29.
Geisler, F., Kunz, A., Winter, B., Rozanski, M., Waldschmidt, C., Weber, J. E., Wendt, M., Zieschang, K., Ebinger, M., and Audebert, H. J., Telemedicine in Prehospital acute stroke care. Journal of the American Heart Association 8(6):e011729, 2019.PubMedPubMedCentralCrossRef
30.
31.
Cho, S. J., Kwon, I. H., and Jeong, J., Application of telemedicine system to prehospital medical control. Healthcare Informatics Research 21(3):196–200, 2015.PubMedPubMedCentralCrossRef
32.
Park, E., Kim, J. H., Nam, H. S., and Chang, H. J., Requirement analysis and implementation of smart emergency medical services. IEEE Access 6:42022–42029, 2018.CrossRef
33.
Espinoza, A. V., De Smedt, A., Guldolf, K., Vandervorst, F., Van Hooff, R. J., Tellez, H. F., Desmaele, S., Cambron, M., Hubloue, I., and Brouns, R., Opinions and beliefs about telemedicine for emergency treatment during ambulance transportation and for chronic care at home. Interactive Journal of Medical Research 5(1), 2016.
34.
Gilligan P, Bennett A, Houlihan A, Padki A, Owens N, Morris D, Chochliouros I, Mohammed A, Mutawa A, Eswararaj M (2018) The doctor can see you now: A key stakeholder study into the acceptability of ambulance based telemedicine.
35.
Johansson, A., Esbjörnsson, M., Nordqvist, P., Wiinberg, S., Andersson, R., Ivarsson, B., and Möller, S., Technical feasibility and ambulance nurses’ view of a digital telemedicine system in pre-hospital stroke care–a pilot study. International emergency nursing 44:35–40, 2019.PubMedCrossRef
36.
Bevan N, Kirakowski J, J M What is usability? In: HJ B (ed) Proceedings of the 4th International Conference on Human Computer Interaction, Stuttgart, 1991 1991. Elsevier,
37.
Goodhue, D. L., Understanding user evaluations of information systems. Management science 41(12):1827–1844, 1995.CrossRef
38.
Jiang J. J, Klein G (1999) User evaluation of information systems: By system typology. IEEE transactions on systems, man, cybernetics-part a: systems and humans 29 (1):111–116
39.
Kujala, S., User involvement: A review of the benefits and challenges. Behaviour information technology 22(1):1–16, 2003.CrossRef
40.
Norman D. A, Draper S. W (1986) User centered system design: New perspectives on human-computer interaction. CRC Press,
41.
Reddy, M., Pratt, W., Dourish, P., and Shabot, M., Sociotechnical requirements analysis for clinical systems. Methods of Information in Medicine 42(04):437–444, 2003.PubMedCrossRef
42.
Berg, M., Patient care information systems and health care work: A sociotechnical approach. International Journal of Medical Informatics 55(2):87–101, 1999.PubMedCrossRef
43.
Ariza, F., Kalra, D., and Potts, H., How do clinical information systems affect the cognitive demands of general practitioners?: Usability study with a focus on cognitive workload. Journal of Innovation in Health Informatics 22(4):379–390, 2015.PubMedCrossRef
44.
Harrison, M. I., Koppel, R., and Bar-Lev, S., Unintended consequences of information technologies in health care—An interactive sociotechnical analysis. Journal of the American Medical Informatics Association 14(5):542–549, 2007.PubMedPubMedCentralCrossRef
45.
Ahmed, A., Chandra, S., Herasevich, V., Gajic, O., and Pickering, B., The effect of two different electronic health record user interfaces on intensive care provider task load, errors of cognition, and performance. Critical Care Medicine 39(7):1626–1634, 2011.PubMedCrossRef
46.
Chen, Y., Documenting transitional information in EMR. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2010. ACM, 1787–1796.
47.
48.
Bossen, C., The parameters of common information spaces: the heterogeneity of cooperative work at a hospital ward. In: Proceedings of the 2002 ACM Conference on Computer Supported Cooperative Work, 2002. ACM, 176–185.
Metadata
Title
Evaluative Research of Technologies for Prehospital Communication and Coordination: a Systematic Review
Authors
Zhan Zhang
John Brazil
Mustafa Ozkaynak
Kristen Desanto
Publication date
01-05-2020
Publisher
Springer US
Keywords
Care
Telemedicine
Published in
Journal of Medical Systems / Issue 5/2020
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-020-01556-z

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