Connect with us

MedTech

Mobile health technologies to tackle COVID-19

Mounir Jamil

Published

on

Mobile health technologies

According to the latest research, mobile health technologies have now become a critical solution in monitoring COVID-19 patients at home and predicting who might need medical intervention.

An international task force has conducted extensive research that reveals mobile health technologies such as wearable sensors, electronic patient generated data, and digital contact tracing can assist in monitoring COVID-19 patients in their homes, and they can also be used to predict and monitor coronavirus exposure in people suspected to be free of the infection, providing further information that can aid in prioritizing diagnostic testing.

A panel of 60 members has been established – representing universities from Germany, Switzerland, Australia, Italy, Ireland, and the US. The panel is led by Professor Paolo Bonato, Harvard Medical School associate and director of the Motion Analysis Lab at Spaulding Rehabilitation Hospital in Boston. The research study, ‘Can mHealth Technology Help Mitigate the Effects of the COVID 19 Pandemic?’ is published in the IEEE Open Journal of Engineering in Medicine and Biology.

The study revealed that smartphone applications that give patients the ability to self-report, in addition to wearable sensors that enable physiological data collection, could assist in monitoring clinical workers and could potentially detect early signs of an outbreak in hospitals or healthcare settings. Inside the community, early detection of coronavirus cases can be achieved by building on previous research that indicates it is possible to predict influenza-like illness rates and COVID-19 epidemic trends by using wearable sensors to capture sleep duration and heart rate among other data.

Members from the task force such as Lee and Rahman, the original inventors of mobile health sensors, have reviewed 27 commercially available remote monitoring technologies that could be directly used in clinical practices to aid patients and frontline healthcare workers in monitoring symptoms of the coronavirus. The paper is concluded with a brief summary, ‘When combined with diagnostic and immune status testing, mHealth technology could be a valuable tool to help mitigate, if not prevent, the next surge of COVID-19 cases.’

Junior social media strategist with a degree in business. Passionate about technology, film, music and video games.

MedTech

Impacts of the pandemic on SMEs: First in, first out

Adnan Kayyali

Published

on

Impacts of the pandemic on SMEs First in, first out

The pandemic sent shockwaves across the world with many SMEs bearing the brunt of the crisis due to the reduction in global demand for goods and services.  

The worst effect of the pandemic on SMEs were the mass layoffs seen throughout all industries, although disproportionately. Disposable income that could have circulated in the economy became scarce, leaving many SMEs susceptible to permanent closure as people spend their money with greater caution. This was only a few weeks into the crisis, and prior to any government aid.

Business owners had very different predictions about the duration of the pandemic, leading them to make varied decisions on whether or not to keep their employees, cut their losses, or whether to save up or spend their stimulus checks. Many business owners were paying from their own pocket to stay afloat, and could not last more than a few weeks or few months, with layoffs.

A survey of more than 5,800 small businesses between March 28 and April 4, 2020 was conducted to determine how adaptable businesses were to the sudden change of the market and social landscape, and the impacts of the pandemic on SMEs.

According to the survey, 92% of SMEs changed at least one thing in their business model to adapt to COVID-19, most using some form of digital technology to bypass, adapt, or improve many traditional – potentially risky – ways of doing business.

Noting that some companies selected more than one option, the changes were listed as follows:

  • 58% of businesses said that they had adopted a new online delivery channel
  • 40% created new virtual services
  • 36% listed the use of a new offline delivery channel, such as Uber Eats.
  • 31% had released a new product.
  • 19% new customers

Consequently, the survey also listed the 5 most commonly mentioned challenges that these businesses have experienced:

  • 22% lack of employee skills
  • 16% lack of adequate funds
  • 14% setting up new online delivery channels
  • 9% developing new products.
  • 8% faced challenges adapting to the new health and safety standards
Continue Reading

MedTech

Top 3 digital health technologies post- pandemic

Mounir Jamil

Published

on

Top 3 digital health technologies post- pandemic

It’s certain that the current pandemic will eventually come to an end. However, some of the digital health technologies we’ve adopted along the way have proven to be indispensable, and some technologies may not be so prominent after the crisis.

Here are top 3 digital health technologies that are likely to stick around post- pandemic.

1. Disinfectant robots

Ultraviolet (UV) lights, more specifically UV-C is a well-established digital disinfecting method that is commonly used in the healthcare world. It works by altering the virus’ genetic material, that way UV lights make sure that virus doesn’t replicate. However, if exposed to human skin, it can lead to sunburns, irritations, and in the worst case, skin cancer.

All that aside, the benefits of UV-C in effectively disinfecting hospitals is seriously attracting robotics engineers and healthcare workers alike. Companies such as YouiBot are reimagining and redesigning their current robots into UV disinfectant ones. Danish company UVD Robots has shipped hundreds of their existing disinfectant robots around the world during the pandemic.

In addition to saving valuable time and decreasing the spread of COVID-19 in hospitals, these robots will also prevent hospitals from getting infections.

2. AI for predicting future pandemics

In an ideal tech world, AI can predict a viral outbreak weeks, if not months in advance. Unfortunately, we don’t live in an ideal tech world, but the good news is that we can work towards forecasting such a system with the help of current technologies.

AI company BlueDot has issued early first warnings, after scrutinizing massive data sets from news, airlines, and animal disease outbreaks. Their algorithim managed to detect a certain trend which Epidemiologists later analyzed further to confirm an outbreak.

But BlueDot is the exception and not the rule, so we must reverse the situation in order to better handle the next public health crisis. Given the massive predictive power that AI brings to the healthcare sector, the proper authorities should utilize its full potential and help in making it more commonplace in hospital settings.

3. Remote care via smartphones 

It’s a sad reality that the pandemic kick-started telemedicine for mainstream adoption. Before the crisis, only 1 in 10 US patients used telemedicine services, the number has now increased up to 158% in the same country.

With lockdowns enforced globally, people are utilizing the power of their smartphones for their mental and physical wellbeing. These new digital health technologies greatly reduce the risk of cross infection all while offering patients quality care from the comfort of their own homes

These solutions greatly reduce the risk of cross-infection while offering patients quality care from the comfort of their homes. What’s more, they prove that face-to-face doctor-patient visits are unnecessary. A Global Markets Insights report from April this year, projects that the telemedicine market value will reach $175.5 billion by 2026, indicating the need for remote care in the coming years.

Continue Reading

MedTech

The glaring problem with COVID-19 vaccine deployment

Adnan Kayyali

Published

on

The glaring problem with COVID-19 vaccine deployment

As most of us already know, creating a vaccine is only half the challenge of beating the pandemic. Getting 7 billion people vaccinated is a colossal undertaking, the scale of which has never been seen in history. How will the world manage and sustain COVID-19 vaccine deployment, and ensure equitable access to everyone?

It is not an easy task, and many people in positions of responsibility may have to make some difficult decisions. In short, we will not have enough vaccines for everyone by the end of this year, even if a particular vaccine candidate is deemed adequate.

In a document by the CDC published as a rough skeletal guideline, four categories of people were prioritized with newly produced or procured vaccine doses. This is to strategically use the scarce resources available to minimize the loss of life and maximize equity.

The document classified four categories of people that would receive the vaccine at different times according to a number of factors:

Category 1:

– High risk healthcare workers. First responders

– High risk older adults in congregate or crowded settings

Category 2:

Workers in critical industries and those living in an environment of high risk such as prison.

Category 3:

Young adults and children, and workers of essential industries that were not included in phase 2.

Category 4:

Everyone else.

In an Audio Interview “Guidelines for Covid-19 Vaccine Deployment”, Eric J. Rubin, M.D., Ph.D. concurred. “We do this in medicine all the time”, he said “in that we plan to treat everybody but those who get sicker are the ones who need the treatment first, while we are scaling up or making any assessment of deploying a treatment”.

This task becomes more difficult in areas were the data on who needs what is scarce. Numerous collectives and institutions however are finding ways to guide their communities using localized data tracking, remote monitoring and some forms of contact tracing. They will be able to identify where and how many people require vaccination, how many vaccines are available for the taking, when more is coming, etc.

Having a clear picture is essential for any major endeavor to succeed, and a type of “communal immunity” can be achieved, to break the back of community transmission” as Rubin put it.

The issue of Covid-19 Vaccine Deployment isn’t when the vaccine is coming, but “who gets it first”. The answer given by the CDC seems to be a good one, from the perspective of the scientist, who have accepted the reality that vaccine equity is no easy task, and hard decisions must be made.

Continue Reading

Trending