Remote health diagnosis and monitoring in the time of COVID-19

Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of SARS-CoV-2 pneumonia requires early detection and monitoring, within a clinical environment for critical cases and remotely for mild cases, with a large spectrum of symptoms. The fear of contamination in clinical environments has led to a dramatic reduction in on-site referrals for routine care. There has also been a perceived need to continuously monitor non-severe COVID-19 patients, either from their quarantine site at home, or dedicated quarantine locations (e.g., hotels). In particular, facilitating contact tracing with proximity and location tracing apps was adopted in many countries very rapidly. Thus, the pandemic has driven incentives to innovate and enhance or create new routes for providing healthcare services at distance. In particular, this has created a dramatic impetus to find innovative ways to remotely and effectively monitor patient health status. In this paper, we present a review of remote health monitoring initiatives taken in 20 states during the time of the pandemic. We emphasize in the discussion particular aspects that are common ground for the reviewed states, in particular the future impact of the pandemic on remote health monitoring and consideration on data privacy.

[1]  T. Jiang,et al.  Management and Treatment of COVID-19: The Chinese Experience , 2020, Canadian Journal of Cardiology.

[2]  Liam J Caffery,et al.  Telehealth services in rural and remote Australia: a systematic review of models of care and factors influencing success and sustainability. , 2016, Rural and remote health.

[3]  Yaniv Zigel,et al.  Advances in Audio-Based Systems to Monitor Patient Adherence and Inhaler Drug Delivery. , 2017, Chest.

[4]  Jeremy C Wyatt,et al.  The use of telemedicine to enhance secondary care: some lessons from the front line , 2017, Future Healthcare Journal.

[5]  José M. Molina López,et al.  Medical Data Processing and Analysis for Remote Health and Activities Monitoring , 2019, High-Performance Modelling and Simulation for Big Data Applications.

[6]  A. Iwasaki,et al.  Why does Japan have so few cases of COVID‐19? , 2020, EMBO molecular medicine.

[7]  Stefano Omboni,et al.  Telemedicine During the COVID-19 in Italy: A Missed Opportunity? , 2020, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[8]  Luís Velez Lapão,et al.  How to develop a sustainable telemedicine service? A Pediatric Telecardiology Service 20 years on - an exploratory study , 2019, BMC Health Services Research.

[9]  Simonetta Scalvini,et al.  Maugeri Centre for Telehealth and Telecare: A real-life integrated experience in chronic patients , 2017, Journal of telemedicine and telecare.

[10]  Leo Anthony Celi,et al.  COVID-19: Putting the General Data Protection Regulation to the Test , 2020, JMIR Public Health and Surveillance.

[11]  Joachim A. Behar,et al.  PhysioZoo: A Novel Open Access Platform for Heart Rate Variability Analysis of Mammalian Electrocardiographic Data , 2018, Front. Physiol..

[12]  K. Bahaadinbeigy,et al.  Role of Telehealth in the Management of COVID-19: Lessons Learned from Previous SARS, MERS, and Ebola Outbreaks. , 2020, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[13]  E. Segal,et al.  A framework for identifying regional outbreak and spread of COVID-19 from one-minute population-wide surveys , 2020, Nature Medicine.

[14]  Yan Zhao,et al.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. , 2020, JAMA.

[15]  Joel Hellewell,et al.  Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study , 2020, The Lancet Infectious Diseases.

[16]  J. Soar,et al.  Uptake of telehealth services funded by Medicare in Australia. , 2014, Australian health review : a publication of the Australian Hospital Association.

[17]  José Luís Oliveira,et al.  Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations , 2019, JMIR mHealth and uHealth.

[18]  Wei Liu,et al.  Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease , 2020, Chinese medical journal.

[19]  S. Fonn,et al.  South Africa's COVID-19 Tracing Database: Risks and rewards of which doctors should be aware. , 2020, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[20]  Vishnu Prasad Shenoy,et al.  Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India , 2020, Scientific Reports.

[21]  J. Xiang,et al.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study , 2020, The Lancet.

[22]  Arno Klein,et al.  Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data , 2016, PSB.

[23]  Niclas Palmius,et al.  SleepAp: An automated obstructive sleep apnoea screening application for smartphones , 2013, Computing in Cardiology 2013.

[24]  Chao Xu,et al.  Effectiveness of telemedicine systems for adults with heart failure: a meta-analysis of randomized controlled trials , 2019, Heart Failure Reviews.

[25]  P. Warrick,et al.  Neural network based detection of fetal heart rate patterns , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[26]  Patrick E. McSharry,et al.  Constructing spatiotemporal poverty indices from big data , 2017 .

[27]  Liam J Caffery,et al.  How telehealth facilitates the provision of culturally appropriate healthcare for Indigenous Australians , 2018, Journal of telemedicine and telecare.

[28]  G. Parati,et al.  2019 Italian Society of Cardiology Census on telemedicine in cardiovascular disease: a report from the working group on telecardiology and informatics , 2020, Open Heart.

[29]  K A Stroetmann,et al.  "HausTeleDienst"--a CATV-based interactive video service for elderly people. , 1999, Studies in health technology and informatics.

[30]  Lucie Abeler-Dörner,et al.  Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing , 2020, Science.

[31]  Gari D. Clifford,et al.  Personalized heart failure severity estimates using passive smartphone data , 2018, 2018 IEEE International Conference on Big Data (Big Data).

[32]  Rui-guang Zhang,et al.  Clinical Features of 69 Cases with Coronavirus Disease 2019 in Wuhan, China , 2020, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[33]  Ting Yu,et al.  Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study , 2020, The Lancet Respiratory Medicine.

[34]  Mohaned Shilaih,et al.  Wearable Sensors Reveal Menses-Driven Changes in Physiology and Enable Prediction of the Fertile Window: Observational Study , 2019, Journal of medical Internet research.

[35]  Yutaka Imai,et al.  The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2014) , 2014, Hypertension Research.

[36]  J. Switzer,et al.  Teleneurology is neurology , 2019, Neurology.

[37]  L. Carreira,et al.  Five years of teleconsultation: experience of the Cardiology Department of Coimbra Pediatric Hospital. , 2005, Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology.

[38]  J. Barlow,et al.  Telemedicine in Alentejo. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[39]  Edoardo Midena,et al.  Diabetic Retinopathy in Italy: Epidemiology Data and Telemedicine Screening Programs , 2016, Journal of diabetes research.

[40]  Renato Pietro Ricci,et al.  Change in the use of remote monitoring of cardiac implantable electronic devices in Italian clinical practice over a 5-year period: results of two surveys promoted by the AIAC (Italian Association of Arrhythmology and Cardiac Pacing). , 2020, Journal of cardiovascular medicine.