A sociotechnical framework for integration of telehealth into clinical workflow

References

• Armstrong, A. W., Kwong, M. W., Chase, E. P., Ledo, L., Nesbitt, T. S., & Shewry, S. L. (2012). Teledermatology operational considerations, challenges, and benefits: The referring providers’ perspective. Telemedicine Journal and e-Health: The Official Journal of the American Telemedicine Association, 18(8), 580–584. https://doi.org/10.1089/tmj.2011.0241
   PubMed Web of Science ®Google Scholar
• Bonet Olivencia, S., Rao, A. H., Smith, A., & Sasangohar, F. (2021). Eliciting requirements for a diabetes self-management application for underserved populations: A multi-stakeholder analysis. International Journal of Environmental Research and Public Health, 19(1), 127. https://doi.org/10.3390/ijerph19010127
   PubMed Web of Science ®Google Scholar
• Bonet, S., Sultana, I., Larsen, E., Zheng, F., & Sasangohar, F. (2022). Adoption of telemedicine to support postoperative visits: Mixed methods study of technological readiness and attitudes among surgeons. JMIR Preprints, 39514. https://doi.org/10.2196/preprints.39514
   Google Scholar
• Bonet, S., Zahed, K., Sasangohar, F., Dvir, R., & Vedlitz, A. (2022). Integration of remote patient monitoring systems into physicians work in underserved communities: Survey of healthcare provider perspectives. ACELAB preprints. https://acelab.tamu.edu/wp-content/uploads/sites/23/2022/06/Bonet-et-al._RPMIntegrationSurvey-1.pdf
   Google Scholar
• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
   Google Scholar
• Brereton, L., Wahlster, P., Mozygemba, K., Lysdahl, K. B., Burns, J., Polus, S., Tummers, S., Refolo, P., Sacchini, D., Leppert, W., Chilcott, J., Ingleton, C., Gardiner, S., & Goyder, E. (2017). Stakeholder involvement throughout health technology assessment: An example from palliative care. International Journal of Technology Assessment in Health Care, 33(5), 552–561. https://doi.org/10.1017/S026646231700068X
   PubMed Web of Science ®Google Scholar
• Brewster, L., Mountain, G., Wessels, B., Kelly, C., & Hawley, M. (2014). Factors affecting front line staff acceptance of telehealth technologies: A mixed-method systematic review. Journal of Advanced Nursing, 70(1), 21–33. https://doi.org/10.1111/jan.12196
   PubMed Web of Science ®Google Scholar
• Burgess-Limerick, R. (2018). Participatory ergonomics: Evidence and implementation lessons. Applied Ergonomics, 68, 289–293. https://doi.org/10.1016/j.apergo.2017.12.009
   PubMed Web of Science ®Google Scholar
• Cady, R. G., & Finkelstein, S. M. (2013). Mixed-methods approach for measuring the impact of video telehealth on outpatient clinic triage nurse workflow. Computers, Informatics, Nursing: CIN, 31(9), 439–449. https://doi.org/10.1097/01.NCN.0000432126.99644.6c
   PubMed Web of Science ®Google Scholar
• Cady, R. G., & Finkelstein, S. M. (2014). Task-technology fit of video telehealth for nurses in an outpatient clinic setting. Telemedicine Journal and e-Health: The Official Journal of the American Telemedicine Association, 20(7), 633–639. https://doi.org/10.1089/tmj.2013.0242
   PubMed Web of Science ®Google Scholar
• Cady, R., Finkelstein, S., Lindgren, B., Robiner, W., Lindquist, R., VanWormer, A., & Harrington, K. (2010). Exploring the translational impact of a home telemonitoring intervention using time-motion study. Telemedicine Journal and e-Health: The Official Journal of the American Telemedicine Association, 16(5), 576–584. https://doi.org/10.1089/tmj.2009.0148
   PubMed Web of Science ®Google Scholar
• Carayon, P., Cartmill, R., Hoonakker, P., Hundt, A. S., Karsh, B. T., Krueger, D., Snellman, M., Thuemling, T., & Wetterneck, T. B. (2011). Human factors analysis of workflow in health information technology implementation. In P. Carayon (Ed.), Handbook of human factors and ergonomics in health care and patient safety (pp. 536–551). CRC Press.
   Google Scholar
• Carayon, P., Schoofs Hundt, A., Karsh, B. T., Gurses, A. P., Alvarado, C. J., Smith, M., & Flatley Brennan, P. (2006). Work system design for patient safety: The SEIPS model. Quality in Health Care, 15(Suppl 1), i50–i58. https://doi.org/10.1136/qshc.2005.015842
   Google Scholar
• Center for Connected Health Policy. (2022). State Telehealth Laws and Reimbursement Policies Report-Spring 2022. Retrieved May 18, 2022. https://www.cchpca.org/2022/05/Spring2022_ExecutiveSummaryfinal.pdf
   Google Scholar
• Cherney, L. R., & van Vuuren, S. (2012). Telerehabilitation, virtual therapists, and acquired neurologic speech and language disorders. Seminars in Speech and Language, 33(3), 243–257. https://doi.org/10.1055/s-0032-1320044
   PubMed Web of Science ®Google Scholar
• Cortelyou-Ward, K., Atkins, D. N., Noblin, A., Rotarius, T., White, P., & Carey, C. (2020). Navigating the digital divide: Barriers to telehealth in rural areas. Journal of Health Care for the Poor and Underserved, 31(4), 1546–1556. https://doi.org/10.1353/hpu.2020.0116
   PubMed Web of Science ®Google Scholar
• Cronin, E. M., Ching, E. A., Varma, N., Martin, D. O., Wilkoff, B. L., & Lindsay, B. D. (2012). Remote monitoring of cardiovascular devices: A time and activity analysis. Heart Rhythm, 9(12), 1947–1951. https://doi.org/10.1016/j.hrthm.2012.08.002
   PubMed Web of Science ®Google Scholar
• Dart, E. H., Whipple, H. M., Pasqua, J. L., & Furlow, C. M. (2016). Legal, regulatory, and ethical issues in telehealth technology. In J. Luiselli & A. Fischer (Eds.), Computer-assisted and web-based innovations in psychology, special education, and health (pp. 339–363). Academic Press.
   Google Scholar
• Davidson, E., Simpson, C. R., Demiris, G., Sheikh, A., & McKinstry, B. (2013). Integrating telehealth care-generated data with the family practice electronic medical record: Qualitative exploration of the views of primary care staff. Interactive Journal of Medical Research, 2(2), e29. https://doi.org/10.2196/ijmr.2820
   PubMedGoogle Scholar
• DeGaetano, N., & Shore, J. (2015). Conducting a telehealth needs assessment. In P. Tuerk & P. Shore (Eds.), Clinical videoconferencing in telehealth (pp. 23–54). Springer.
   Google Scholar
• Ellimoottil, C., An, L., Moyer, M., Sossong, S., & Hollander, J. E. (2018). Challenges and opportunities faced by large health systems implementing telehealth. Health Affairs (Project Hope), 37(12), 1955–1959. https://doi.org/10.1377/hlthaff.2018.05099
   PubMed Web of Science ®Google Scholar
• Facchin, D., Baccillieri, M. S., Gasparini, G., Zoppo, F., Allocca, G., Brieda, M., Verlato, R., & Proclemer, A. (2016). Findings of an observational investigation of pure remote follow-up of pacemaker patients: Is the in-clinic device check still needed? International Journal of Cardiology, 220, 781–786. https://doi.org/10.1016/j.ijcard.2016.06.162
   PubMed Web of Science ®Google Scholar
• Fish, A., George, S., Terrien, E., Eccles, A., Baker, R., & Ogunyemi, O. (2011). Workflow concerns and workarounds of readers in an urban safety net teleretinal screening study. AMIA Annual Symposium Proceedings (pp. 417–426). AMIA Symposium.
   Google Scholar
• Francke, J. A., Groden, P., Ferrer, C., Bienstock, D., Tepper, D. L., Chen, T. P., Sanky, C., Grogan, T., & Weissman, M. A. (2022). Remote enrollment into a telehealth-delivering patient portal: Barriers faced in an urban population during the COVID-19 pandemic. Health and Technology, 12(1), 227–238. https://doi.org/10.1007/s12553-021-00614-x
   Web of Science ®Google Scholar
• Friedenthal, S., Moore, A., & Steiner, R. (2014). A Practical Guide to SysML: The Systems Modeling Language. Morgan Kaufmann.
   Google Scholar
• Gajarawala, S. N., & Pelkowski, J. N. (2021). Telehealth benefits and barriers. The Journal for Nurse Practitioners: JNP, 17(2), 218–221. https://doi.org/10.1016/j.nurpra.2020.09.013
   PubMedGoogle Scholar
• Ghaddar, S., Vatcheva, K. P., Alvarado, S. G., & Mykyta, L. (2020). Understanding the intention to use telehealth services in underserved Hispanic border communities: Cross-sectional study. Journal of Medical Internet Research, 22(9), e21012. https://doi.org/10.2196/21012
   PubMed Web of Science ®Google Scholar
• Grigsby, B., Brega, A. G., Bennett, R. E., Devore, P. A., Paulich, M. J., Talkington, S. G., Floersch, N. R., Barton, P. L., Neal, S., Araya, T. M., Loker, J. L., Krohn, N., & Grigsby, J. (2007). The slow pace of interactive video telemedicine adoption: The perspective of telemedicine program administrators on physician participation. Telemedicine Journal and E-Health, 13(6), 645–656.
   PubMed Web of Science ®Google Scholar
• Haque, S. N., & Hayden, E. M. (2022). Telehealth. In J. Finnell & B. Dixon (Eds.), Clinical Informatics Study Guide (pp. 255–259). Springer.
   Google Scholar
• Health Resources & Services Administration. (2022). Health Equity in Telehealth. Retrieved May 18, 2022. https://telehealth.hhs.gov/providers/health-equity-in-telehealth/
   Google Scholar
• Hjelm, N. M. (2005). Benefits and drawbacks of telemedicine. Journal of Telemedicine and Telecare, 11(2), 60–70. https://doi.org/10.1258/1357633053499886
   PubMed Web of Science ®Google Scholar
• Holden, R. J., Carayon, P., Gurses, A. P., Hoonakker, P., Hundt, A. S., Ozok, A. A., & Rivera-Rodriguez, A. J. (2013). SEIPS 2.0: A human factors framework for studying and improving the work of healthcare professionals and patients. Ergonomics, 56(11), 1669–1686. https://doi.org/10.1080/00140139.2013.838643
   PubMed Web of Science ®Google Scholar
• Jarvis-Selinger, S., Chan, E., Payne, R., Plohman, K., & Ho, K. (2008). Clinical telehealth across the disciplines: Lessons learned. Telemedicine Journal and e-Health: The Official Journal of the American Telemedicine Association, 14(7), 720–725. https://doi.org/10.1089/tmj.2007.0108
   PubMed Web of Science ®Google Scholar
• Jennett, P., Jackson, A., Healy, T., Ho, K., Kazanjian, A., Woollard, R., Haydt, S., & Bates, J. (2003). A study of a rural community’s readiness for telehealth. Journal of Telemedicine and Telecare, 9(5), 259–263. https://doi.org/10.1258/135763303769211265
   PubMed Web of Science ®Google Scholar
• Kalicki, A. V., Moody, K. A., Franzosa, E., Gliatto, P. M., & Ornstein, K. A. (2021). Barriers to telehealth access among homebound older adults. Journal of the American Geriatrics Society, 69(9), 2404–2411. https://doi.org/10.1111/jgs.17163
   PubMed Web of Science ®Google Scholar
• Kaufman, D. R., Pevzner, J., Rodriguez, M., Cimino, J. J., Ebner, S., Fields, L., Moreno, V., McGuiness, C., Weinstock, R. S., Shea, S., & Starren, J. (2009). Understanding workflow in telehealth video visits: Observations from the IDEATel project. Journal of Biomedical Informatics, 42(4), 581–592. https://doi.org/10.1016/j.jbi.2009.03.012
   PubMed Web of Science ®Google Scholar
• Koopman, R. J., Wakefield, B. J., Johanning, J. L., Keplinger, L. E., Kruse, R. L., Bomar, M., Bernt, B., Wakefield, D. S., & Mehr, D. R. (2014). Implementing home blood glucose and blood pressure telemonitoring in primary care practices for patients with diabetes: Lessons learned. Telemedicine Journal and e-Health: The Official Journal of the American Telemedicine Association, 20(3), 253–260. https://doi.org/10.1089/tmj.2013.0188
   PubMed Web of Science ®Google Scholar
• Kruse, C., Fohn, J., Wilson, N., Patlan, E. N., Zipp, S., & Mileski, M. (2020). Utilization barriers and medical outcomes commensurate with the use of telehealth among older adults: Systematic review. JMIR Medical Informatics, 8(8), e20359. https://doi.org/10.2196/20359
   PubMed Web of Science ®Google Scholar
• Leon, N., Schneider, H., & Daviaud, E. (2012). Applying a framework for assessing the health system challenges to scaling up mHealth in South Africa. BMC Medical Informatics and Decision Making, 12, 123. https://doi.org/10.1186/1472-6947-12-123
   PubMed Web of Science ®Google Scholar
• LeRouge, C., & Garfield, M. J. (2013). Crossing the telemedicine chasm: Have the US barriers to widespread adoption of telemedicine been significantly reduced? International Journal of Environmental Research and Public Health, 10(12), 6472–6484. https://doi.org/10.3390/ijerph10126472
   PubMed Web of Science ®Google Scholar
• Liu, J. (2007). Health professional shortage and health status and health care access. Journal of Health Care for the Poor and Underserved, 18(3), 590–598. https://doi.org/10.1353/hpu.2007.0062
   PubMed Web of Science ®Google Scholar
• Lopetegui, M., Yen, P. Y., Lai, A., Jeffries, J., Embi, P., & Payne, P. (2014). Time motion studies in healthcare: What are we talking about? Journal of Biomedical Informatics, 49, 292–299. https://doi.org/10.1016/j.jbi.2014.02.017
   PubMed Web of Science ®Google Scholar
• Luo, J., Tong, L., Crotty, B. H., Somai, M., Taylor, B., Osinski, K., & George, B. (2021). Telemedicine adoption during the COVID-19 pandemic: Gaps and inequalities. Applied Clinical Informatics, 12(4), 836–844. https://doi.org/10.1055/s-0041-1733848
   PubMedGoogle Scholar
• Menachemi, N., Burke, D. E., & Ayers, D. J. (2004). Factors affecting the adoption of telemedicine—A multiple adopter perspective. Journal of Medical Systems, 28(6), 617–632. https://doi.org/10.1023/b:Joms.0000044964.49821.df
   PubMedGoogle Scholar
• Molfenter, T., Boyle, M., Holloway, D., & Zwick, J. (2015). Trends in telemedicine use in addiction treatment. Addiction Science & Clinical Practice, 10, 14. https://doi.org/10.1186/s13722-015-0035-4
   PubMed Web of Science ®Google Scholar
• Nilsen, E. R., Stendal, K., & Gullslett, M. K. (2020). Implementation of eHealth technology in community health care: The complexity of stakeholder involvement. BMC Health Services Research, 20(1), 395. https://doi.org/10.1186/s12913-020-05287-2
   PubMed Web of Science ®Google Scholar
• Parasuraman, A. (2000). Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001
   Google Scholar
• Park, J., Erikson, C., Han, X., & Iyer, P. (2018). Are state telehealth policies associated with the use of telehealth services among underserved populations? Health Affairs (Project Hope), 37(12), 2060–2068. https://doi.org/10.1377/hlthaff.2018.05101
   PubMed Web of Science ®Google Scholar
• Park, S., Wagle, N., Hammett, J., Olivencia, S., Lawley, M., Sasangohar, F., & Kum, H.-C. (2019). Telemonitoring in Texas (Report No.: 2019-001–2). Texas A&M University. https://pinformatics.tamhsc.edu/reports/telemonitoring_tamu2019_001v2.pdf
   Google Scholar
• Petersen, C., & DeMuro, P. (2015). Legal and regulatory considerations associated with use of patient-generated health data from social media and mobile health (mHealth) devices. Applied Clinical Informatics, 6(1), 16–26. https://doi.org/10.4338/ACI-2014-09-R-0082
   PubMed Web of Science ®Google Scholar
• Puskin, D. S., Cohen, Z., Ferguson, A. S., Krupinski, E., & Spaulding, R. (2010). Implementation and evaluation of telehealth tools and technologies. Telemedicine Journal and e-Health: The Official Journal of the American Telemedicine Association, 16(1), 96–102. https://doi.org/10.1089/tmj.2009.0182
   PubMed Web of Science ®Google Scholar
• Rainey, L., & Tolk, A. (2014). Modeling and simulation support for system of systems engineering applications (1st ed.). John Wiley & Sons.
   Google Scholar
• Ricci, R. P., Morichelli, L., D'Onofrio, A., Calò, L., Vaccari, D., Zanotto, G., Curnis, A., Buja, G., Rovai, N., & Gargaro, A. (2014). Manpower and outpatient clinic workload for remote monitoring of patients with cardiac implantable electronic devices: Data from the HomeGuide Registry. Journal of Cardiovascular Electrophysiology, 25(11), 1216–1223. https://doi.org/10.1111/jce.12482
   PubMed Web of Science ®Google Scholar
• Salwei, M. E., Carayon, P., Hoonakker, P. L., Hundt, A. S., Wiegmann, D., Pulia, M., & Patterson, B. W. (2021). Workflow integration analysis of a human factors-based clinical decision support in the emergency department. Applied Ergonomics, 97, 103498. https://doi.org/10.1016/j.apergo.2021.103498
   PubMed Web of Science ®Google Scholar
• Shaw, R. J., Kaufman, M. A., Bosworth, H. B., Weiner, B. J., Zullig, L. L., Lee, S. Y., Kravetz, J. D., Rakley, S. M., Roumie, C. L., Bowen, M. E., Del Monte, P. S., Oddone, E. Z., & Jackson, G. L. (2013). Organizational factors associated with readiness to implement and translate a primary care based telemedicine behavioral program to improve blood pressure control: The HTN-IMPROVE study. Implementation Science: IS, 8, 106. https://doi.org/10.1186/1748-5908-8-106
   PubMed Web of Science ®Google Scholar
• Sinsky, C., Colligan, L., Li, L., Prgomet, M., Reynolds, S., Goeders, L., Westbrook, J., Tutty, M., & Blike, G. (2016). Allocation of physician time in ambulatory practice: A time and motion study in 4 specialties. Annals of Internal Medicine, 165(11), 753–760. https://doi.org/10.7326/M16-0961
   PubMed Web of Science ®Google Scholar
• Sittig, D. F., & Singh, H. (2010). A new sociotechnical model for studying health information technology in complex adaptive healthcare systems. Quality and Safety in Health Care, 19(Suppl 3), i68–i74. https://doi.org/10.1136/qshc.2010.042085
   PubMedGoogle Scholar
• Tang, Z., Weavind, L., Mazabob, J., Thomas, E. J., Chu-Weininger, M. Y., & Johnson, T. R. (2007). Workflow in intensive care unit remote monitoring: A time-and-motion study. Critical Care Medicine, 35(9), 2057–2063. https://doi.org/10.1097/01.ccm.0000281516.84767.96
   PubMed Web of Science ®Google Scholar
• Triana, A. J., Gusdorf, R. E., Shah, K. P., & Horst, S. N. (2020). Technology literacy as a barrier to telehealth during COVID-19. Telemedicine Journal and e-Health: The Official Journal of the American Telemedicine Association, 26(9), 1118–1119. https://doi.org/10.1089/tmj.2020.0155
   PubMed Web of Science ®Google Scholar
• Unertl, K. M., Novak, L. L., Johnson, K. B., & Lorenzi, N. M. (2010). Traversing the many paths of workflow research: Developing a conceptual framework of workflow terminology through a systematic literature review. Journal of the American Medical Informatics Association: JAMIA, 17(3), 265–273. https://doi.org/10.1136/jamia.2010.004333
   PubMed Web of Science ®Google Scholar
• Uscher-Pines, L., & Kahn, J. M. (2014). Barriers and facilitators to pediatric emergency telemedicine in the United States. Telemedicine Journal and e-Health: The Official Journal of the American Telemedicine Association, 20(11), 990–996. https://doi.org/10.1089/tmj.2014.0015
   PubMed Web of Science ®Google Scholar
• Whitten, P. S., & Mackert, M. S. (2005). Addressing telehealth’s foremost barrier: Provider as initial gatekeeper. International Journal of Technology Assessment in Health Care, 21(4), 517–521. https://doi.org/10.1017/S0266462305050725
   PubMed Web of Science ®Google Scholar
• Wootton, R. (2012). Twenty years of telemedicine in chronic disease management–an evidence synthesis. Journal of Telemedicine and Telecare, 18(4), 211–220. https://doi.org/10.1258/jtt.2012.120219
   PubMed Web of Science ®Google Scholar
• Yellowlees, P. M. (2005). Successfully developing a telemedicine system. Journal of Telemedicine and Telecare, 11(7), 331–335. https://doi.org/10.1177/1357633X0501100707
   PubMed Web of Science ®Google Scholar
• Yen, P. Y., Lara, B., Lopetegui, M., Bharat, A., Ardoin, S., Johnson, B., Mathur, P., Embi, P. J., & Curtis, J. R. (2016). Usability and workflow evaluation of "RhEumAtic Disease activitY" (READY). A mobile application for rheumatology patients and providers. Applied Clinical Informatics, 7(4), 1007–1024. https://doi.org/10.4338/ACI-2016-03-RA-0036
   PubMed Web of Science ®Google Scholar
• Zheng, K., Haftel, H. M., Hirschl, R. B., O'Reilly, M., & Hanauer, D. A. (2010). Quantifying the impact of health IT implementations on clinical workflow: A new methodological perspective. Journal of the American Medical Informatics Association: JAMIA, 17(4), 454–461. https://doi.org/10.1136/jamia.2010.004440
   PubMed Web of Science ®Google Scholar