Airports in Paris and Singapore as well as airlines including United and JetBlue are experimenting with apps that verify travelers are Covid-free before boarding. WSJ visits an airport in Rome to see how a digital health passport works. Photo credit: AOKpass
Currently, smartwatches provide information such as heart rate, sleep time and activity patterns. In the future, this could be augmented with new classes of wearable devices that monitor, for example, concentrations of cortisol for tracking stress (using electronic epidermal tattoos), biomarkers of inflammation and levels of blood O2 (microneedle patches), skin temperature (electronic textiles), blood pressure (smart rings), concentration of ions (wristbands), intraocular pressure (smart contact lenses), the presence of airborne pathogens and breathing anomalies (face masks), and the concentration of therapeutic drugs (on-teeth sensors)2,10,12,13,14,15,16. Such emerging low-cost wearable sensing technologies, monitoring both physical parameters and biochemical markers, could be used to identify symptomatic and pre-symptomatic cases in future pandemics. The devices could also be used to remotely monitor the recovery of individuals undergoing treatment or self-isolating at home.
Top technology at all-digital CES 2021.
Join CNET during CES 2021 for talks with three medical luminaries to discuss what we’ve gained — and need to fix — with telehealth over a turbulent pandemic year.
In the coming weeks, major airlines including United, JetBlue and Lufthansa plan to introduce a health passport app, called CommonPass, that aims to verify passengers’ virus test results — and soon, vaccinations. The app will then issue confirmation codes enabling passengers to board certain international flights. It is just the start of a push for digital Covid-19 credentials that could soon be embraced by employers, schools, summer camps and entertainment venues.
The advent of electronic vaccination credentials could have a profound effect on efforts to control the coronavirus and restore the economy. They could prompt more employers and college campuses to reopen. They may also give some consumers peace of mind, developers say, by creating an easy way for movie theaters, cruise ships and sports arenas to admit only those with documented coronavirus vaccinations.
The CommonPass, IBM and Clear apps, for instance, allow users to download their virus test results — and soon their vaccinations — to their smartphones. The apps can then check the medical data and generate unique confirmation codes that users can show at airports or other locations to confirm their health status.
But the health passes do not share specific details — like where and when a user was tested — with airlines or employers, developers said. The QR codes, they said, act merely as a kind of green light, clearing users for entry.
Internet-connected “smart” devices are increasingly available in the marketplace, promising consumers and businesses improved convenience and efficiency. Within this broader Internet of Things (IoT) lies a growing industry of devices that monitor the human body and transmit the data collected via the internet.
This development, which some have called the Internet of Bodies (IoB), includes an expanding array of devices that combine software, hardware, and communication capabilities to track personal health data, provide vital medical treatment, or enhance bodily comfort, function, health, or well-being. However, these devices also complicate a field already fraught with legal, regulatory, and ethical risks. In this video,
RAND mathematician Mary Lee examines this emerging collection of human body–centric and internet-connected technologies; explores their benefits, security and privacy risks, and ethical implications; surveys the nascent regulatory landscape for these devices and the data they collect; and makes recommendations to balance IoB risks and rewards.
Read more about the Internet of Bodies here: https://www.rand.org/pubs/research_re…
From a “Circulation: Heart Failure” Journal study (Feb 25, 2020):
The study shows that wearable sensors coupled with machine learning analytics have predictive accuracy comparable to implanted devices.
We demonstrate that machine learning analytics using data from a wearable sensor can accurately predict hospitalization for heart failure exacerbation…at a median time of 6.5 days before the admission.
Heart failure (HF) is a major public health problem affecting >23 million patients worldwide. Hospitalization costs for HF represent 80% of costs attributed to HF care. Thus, accurate and timely detection of worsening HF could allow for interventions aimed at reducing the risk of HF admission.
Several such approaches have been tested. Tracking of daily weight, as recommended by current HF guidelines, did not lead to reduction of the risk of HF hospitalization, most likely because the weight gain is a contemporaneous or lagging indicator rather than a leading event. Interventions based on intrathoracic impedance monitoring also did not result in reduction of readmission risk. The results suggest that physiological parameters other than weight or intrathoracic impedance in isolation may be needed to detect HF decompensation in a timely manner. In fact, 28% reduction of rehospitalization rates has been shown with interventions based on pulmonary artery hemodynamic monitoring. More recently, in the MultiSENSE study (Multisensor Chronic Evaluation in Ambulatory HF Patients), an algorithm based on physiological data from sensors in the implantable cardiac resynchronization therapy defibrillators, was shown to have 70% sensitivity in predicting the risk of HF hospitalization or outpatient visit with intravenous therapies for worsening of HF.