Healthcare is a key frontline service in the response to the COVID-19 outbreak. The NHS has had to react at pace to plan and deliver services in new and innovative ways.

Digital healthcare solutions are at the fore of ensuring not only the delivery of acute care for those patients suffering from COVID-19 but are also supporting the successful continuity of care and the day to day running of a health service which still needs to maintain “normal service” as well as its pandemic response. Digital infrastructure is helping the NHS and other partners to adapt and to meet the demand for health and care in a number of ways.

Supporting the delivery of care

In many ways, the NHS and frontline care in particular were already making inroads towards transitioning to digital and online platforms before the pandemic emerged. Many GP surgeries allow online appointment booking, and where appropriate, monitoring of those with long term conditions can be done remotely through at-home testing facilities, such as home heart monitors or monitors to help people monitor their diabetes.

Many care providers also already offer telehealth solutions for clients, and patient records are now stored online. However, in many ways the COVID-19 pandemic has catalysed uptake of digital solutions to healthcare diagnosis and delivery, with an increase in online consultations, greater use of the NHS Digital and NHS24 online and app platforms and a rise in the development of digital solutions to better support care in the community.

Support and training for frontline staff

In addition to supporting the direct delivery of care to patients, digital health infrastructure is also being adapted and used to deliver training and support to staff on the frontline. Blogs and online forums, including social media groups are enabling people to share experiences and best practice, and to create a sense of community among healthcare workers. In addition, virtual and e-learning opportunities are being developed to enable staff to access educational activities remotely. These include supporting the rapid education of the healthcare workforce in how best to manage the respiratory conditions encountered, as well as providing education to staff who may have been redeployed to other departments or settings as a result of the pandemic response. Online learning has also been used to help train volunteers and help the public to keep up to date with the latest developments across the health service.

Beyond healthcare to support the response to the pandemic

Artificial intelligence and data analytics also have a vital role to play in helping prevent the spread of coronavirus and other infectious diseases as digital solutions look to be developed to help beyond acute healthcare responses.

Predictive analytics and scenario modelling can be used to help identify those populations who are at risk of spreading the virus and of falling most severely ill to help support shielding campaigns and protect vulnerable groups as lockdown measures ease.

A project run by UK firm Biobank is looking to use samples collected by volunteers to map genetic sequencing in order to identify whether certain genetic characteristics make people more predisposed to become seriously ill, or more likely to contract the virus in the first place. This may help in the development of a vaccine and can also help identify those groups who will be most vulnerable when lockdown conditions are lifted so that they can be monitored more effectively.

Modelling and analytics can also be used to try and project any potential “second waves”. It is hoped that AI, analytics and machine learning will be able to help organisations learn from events such as the SARS epidemic, as well as quickly creating new knowledge from the millions of data points being generated in this outbreak.

Final thoughts

The significant humanitarian response to this global pandemic is being underpinned by a digital infrastructure, the extent of which we have never had at our disposal before. This digital support, of care delivery, communication, analytics, and modelling is being used in conjunction with insight from health and scientific specialists to try and help us find a path through this pandemic, deliver care, aid recovery and prevent re-emergence.

Making best use of the data and digital capacity we have throughout our health and care infrastructure will be a key part in preparing and meeting the needs and challenges that communities are facing.


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Further reading: articles on COVID-19 from The Knowledge Exchange blog

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