Bryan, A. F., Levine, D. M. & Tsai, T. C. Home hospital for surgery. JAMA Surg. 156, 679–680 (2021).
Leff, B. et al. Hospital at home: feasibility and outcomes of a program to provide hospital-level care at home for acutely ill older patients. Ann. Intern. Med. 143, 798–808 (2005).
Safavi, K. C. et al. A different kind of perioperative surgical home: hospital at home after surgery. Ann. Surg. 271, 227–229 (2020).
HealthIT.gov. The Office of the National Coordinator for Health Information Technology (ONC). Telemedicine and telehealth. https://www.healthit.gov/topic/health-it-health-care-settings/telemedicine-and-telehealth#:~:text=Remote%20patient%20monitoring%20(RPM)%3A,usually%20at%20a%20different%20time (2020).
Conley, J., Snyder, G. D., Whitehead, D. & Levine, D. M. Technology-enabled Hospital at Home: Innovation for Acute Care at Home. NEJM Catal 3 (2022).
Peyroteo, M., Ferreira, I. A., Elvas, L. B., Ferreira, J. C. & Lapão, L. V. Remote monitoring systems for patients with chronic diseases in primary health care: systematic review. JMIR Mhealth Uhealth 9, e28285 (2021).
Coffey, J. D. et al. Implementation of a multisite, interdisciplinary remote patient monitoring program for ambulatory management of patients with COVID-19. NPJ Digit. Med. 4, 1–11 (2021).
Huynh, D. N. et al. Description and early results of the Kaiser permanente Southern California COVID-19 home monitoring program. Perm. J. 25, 20.281 (2021).
Atilgan, K. et al. Remote patient monitoring after cardiac surgery: the utility of a novel telemedicine system. J. Card. Surg. 36, 4226–4234 (2021).
Farias, F. A. C., Dagostini, C. M., Bicca, Y. A., Falavigna, V. F. & Falavigna, A. Remote patient monitoring: a systematic review. Telemed. J. E. Health 26, 576–583 (2020).
Home. Biofourmis. Available at: https://biofourmis.com/ (2023) (Accessed: 5th February 2023).
Haque, A., Milstein, A. & Fei-Fei, L. Illuminating the dark spaces of healthcare with ambient intelligence. Nature 585, 193–202 (2020).
Jorge, J. et al. Non-contact physiological monitoring of post-operative patients in the intensive care unit. NPJ Digit. Med. 5, 1–11 (2022).
VandeWeerd, C. et al. HomeSense: design of an ambient home health and wellness monitoring platform for older adults. Health Technol. 10, 1291–1309 (2020).
Pol, M. C., ter Riet, G., van Hartingsveldt, M., Kröse, B. & Buurman, B. M. Effectiveness of sensor monitoring in a rehabilitation programme for older patients after hip fracture: a three-arm stepped wedge randomised trial. Age Ageing 48, 650–657 (2019).
Kabelac, Z. et al. An in-home study of facioscapulohumeral muscular dystrophy (FSHD) patients using contactless wireless sensing and machine learning (1561). Neurology 94 (2020).
Kim, K. M., Yefimova, M., Lin, F. V., Jopling, J. K. & Hansen, E. N. A home-recovery surgical care model using AI-driven measures of activities of daily living. NEJM Catal. Innov. Care. Deliv. 3 (2022).
Paine, C. W. et al. Systematic review of physiologic monitor alarm characteristics and pragmatic interventions to reduce alarm frequency. J. Hosp. Med. 11, 136–144 (2016).
Sagahyroon, A. Remote patients monitoring: challenges. In 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC) 1–4 (IEEE, 2017).
Vioptix. Tissue perfusion. https://www.vioptix.com/ (2023).
Collins, G. S., Reitsma, J. B., Altman, D. G. & Moons, K. G. M. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMC Med. 13, 1 (2015).
Neilley, V. What health care must learn from meteorology about the importance of R2O. https://www.statnews.com/2022/03/31/what-health-care-must-learn-from-meteorology-about-the-importance-of-r2o/ (2022).
Marwaha, J. S. & Kvedar, J. C. Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI. NPJ Digit. Med. 5, 1–2 (2022).
Bhandare, M., Thomas, M. & Joshi, R. Complications after supramajor gastrointestinal surgery: role of enhanced recovery after surgery. Indian J. Crit. Care Med. 24, S205–S210 (2020).
Stephenson, C. et al. Management of Common Postoperative Complications. Mayo Clin. Proc. 95, 2540–2554 (2020).
Wj, Y. Index for rating diagnostic tests. Cancer 3, 32–35 (1950).
Jung, K. et al. A framework for making predictive models useful in practice. J. Am. Med. Inform. Assoc. 28, 1149–1158 (2021).
Safavi, K. C. et al. Hospital at home for surgical patients: a case series from a pioneer program at a large academic medical center. Ann. Surg. 275, e275–e277 (2022).
Schroeder, C. Pilot study of telemedicine for the initial evaluation of general surgery patients in the clinic and hospitalized settings. Surg. Open Sci. 1, 97–99 (2019).
Myers, D. R., Weiss, A., Rollins, M. R. & Lam, W. A. Towards remote assessment and screening of acute abdominal pain using only a smartphone with native accelerometers. Sci. Rep. 7, 12750 (2017).
Haskel, O., Itelman, E., Zilber, E., Barkai, G. & Segal, G. Remote auscultation of heart and lungs as an acceptable alternative to legacy measures in quarantined COVID-19 patients—Prospective evaluation of 250 examinations. Sensors 22, 3165 (2022).
Gowda, V., Schulzrinne, H. & Miller, B. J. The case for medical device interoperability. JAMA Health Forum 3, e214313–e214313 (2022).
Smith, J. An upcoming milestone in our interoperability journey. Health IT Buzz https://www.healthit.gov/buzz-blog/healthit-certification/an-upcoming-milestone-in-our-interoperability-journey (2022).
Administration, F&D. Design considerations and premarket submission recommendations for interoperable medical devices. (2017).
Haider, A. H. et al. Racial disparities in surgical care and outcomes in the United States: a comprehensive review of patient, provider, and systemic factors. J. Am. Coll. Surg. 216, 482–492e12 (2013).
ATA. A framework for eliminating health disparities using telehealth. https://www.americantelemed.org/resources/a-framework-for-eliminating-health-disparities-using-telehealth/ (2021).
Siu, A. L. et al. Health equity in hospital at home: outcomes for economically disadvantaged and non-disadvantaged patients. J. Am. Geriatr. Soc. 70, 2153–2156 (2022).
Veinot, T. C., Mitchell, H. & Ancker, J. S. Good intentions are not enough: how informatics interventions can worsen inequality. J. Am. Med. Inform. Assoc. 25, 1080–1088 (2018).
Verma, S. Early impact of CMS expansion of medicare telehealth during COVID-19. Health Affairs (15 July 2020).
Hirsch, Q. Beyond broadband: equity, access, and the benefits of audio-only telehealth. Health Affairs (20 September 2021).
Holko, M. et al. Wearable fitness tracker use in federally qualified health center patients: strategies to improve the health of all of us using digital health devices. NPJ Digit. Med. 5, 1–6 (2022).
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