Making healthcare IoT infrastructure safer
The Healthcare sector can benefit greatly from IoT devices. It can help improve the effectiveness of staff, operational cost savings, and even improve patient outcomes. However, it could also bring with them new security risks.
Connected devices are always a potential risk, so it’s imperative that healthcare institutions do everything they can to stem the flow of malicious attackers. To ensure this, a multi-layered security approach is needed to reduce these threats.
Know your network back to front
It is imperative that you understand exactly what devices and tools are running on your network in order to secure it. As more employees and users become more network savvy, it’s hard to keep track of what is being connected to the network because it’s no longer just IT professionals who are making the connections.
To combat this threat, a modern network access control solution is a great starting place, with a roles-based management and network segmentation solution. These solutions will enable network and security managers to set policies around ‘things’ and devices, meaning that not just anyone can connect to the network. On top of this, it’s also possible to set permissions on what data and applications they can access, as well as setting rules to who can manage and maintain these networks and devices.
These solutions monitor connections to the network automatically and can isolate without the need for IT staff to action the quarantine. Assigned IT staff will then be notified to take action against the suspected malicious incident.
The greatest security risks are people
Regardless of the technology in place, or the permission set into practice, individuals using and accessing devices remain critically important to educate, inform and monitor. Traditionally, unsafe practices are usually a result of a poor understanding and therefore, it’s key to regularly review and re-certify all staff members to understand the protocols in place to keep the organisation safe.
By creating a set of processes and practices with password hygiene and prompts, employees can do their bit in ensuring the network remains safe. Password prompts that are unique to the individual is key to building a strong protective perimeter with everyone owning, and protecting their own credentials, and ultimately the network.
Understand the roles of network users and devices
To ensure the efficient running of the network, it’s important to consider the myriad of devices that carry the ability to transmit data, locate them on the network, and consider how they could be used to create an integrated and innovative experience.
In healthcare, patient monitoring within a surgery ward could keep track of vital signs, such as heart rate, without physically attending the bedside. This ability could be critical in detecting a potential issue quicker and taking action (for example alerting a nearby nurse) without the need for caregivers to be everywhere at once.
Clearly, this use case is integral to safe and efficient running of healthcare institutions, and it also fits into part of the IoT puzzle within healthcare, helping those running the institutions to better make use of the equipment they already have.
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Use AI to search for changes
By bringing devices together in a single management platform on the network, security staff are better able to take a holistic view of all equipment and begin to build smarter security policies. The unfortunate truth is that, no matter how much planning and patience is put into securing a network, threats will find their way in.
Thankfully, for organisations that want to combat this to their utmost ability, AI-based machine learning is becoming more sophisticated in helping to identify early and mid-threat scenarios. Sophisticated Cyber-attacks manifest themselves slowly over several months but through leveraging analytics, this technology can spot changes in behaviour that often indicate that the profile of a user’s device is not conforming to usual patterns. In fact, a recent report showed that two thirds of breaches were perpetrated by insider actors, and not internal forces.
The combination of integrating a powerful Access Control solution, along with AI, allows suspicious devices or actors to be temporarily quarantined to support security teams to focus their precious time on analyzing only the most pertinent anomalies. The savings associated with this model is allowing IT teams to rebalance their workload to a more proactive security posture.
Connect your network and security
With the global rise of cyber-attacks, there can no longer be a disconnect between network and security teams. Primary security elements must now beembedded into the network to allow more sophisticated security policies to leverage the network to gate or grant access to bandwidth.
The challenge with this, is that historically some of these features were not embedded as standard but charged as optional extras. Therefore, devices and applications where able to bypass flaws in the network design, creating exposure to risk. Today, there are far more robust security features that are deeply embedded into the wireless and wired network allowing security teams to build around this in a world where the attack surface has grown exponentially due to mobility and IoT. This requires an inside out view of the security strategy.
Stop relying on default settings
It’s surprising to find the frequency of breaches that occur as a result of not changing default credentials and passwords. The fact is, most IoT-related breaches to date were as a result of organisations failing to update these details and have suffered as a result.
Vendors are now getting wise to this and have started offering more unique options than the standard ‘admin’ and ‘password’ defaults, which, surprisingly, is well documented on the internet. However, this does not require unique credentials for every connected device. Instead, role-based credentials that adhere to security recommendations for character length and combinations can be supplied to all of the same devices. In healthcare, this could mean that all door locks, or heart monitors that have their set roles, can have unique credentials.
For employees, having the correct login credentials based on their roles can access certain applications depending on the context of their location, device type and organizational governance. This allows security teams to use these parameters to set polices so that when they change a number of actions can be performed; ranging from multi-factor authentication to a security software update or perhaps quarantine for further inspection.
Step back and reassess
No matter how much effort is put into securing the network, the work is never really complete. Instead, organisations should always look to evolve and improve their practices as new technology and recommendations become available. This shouldn’t mean that everyone has to become experts in security. Rather, it would mean that organisations look at their vendors and partners for what is new and improving the industry. By taking all these steps security isn’t guaranteed but the healthcare organisation that takes its security hygiene seriously will mitigate for the majority of weak links whether that be People, Process or Technology.
Skin Analytics wins NHSX award for AI skin cancer tool
An artificial intelligence-driven tool that identifies skin cancers has received an award from NHSX, the NHS England and Department of Health and Social Care's initiative to bring technology into the UK's national health system.
NHSX has granted the Artificial Intelligence in Health and Care Award to DERM, an AI solution that can identify 11 types of skin lesion.
Developed by Skin Analytics, DERM analyses images of skin lesions using algorithms. Within primary care, Skin Analytics will be used as an additional tool to help doctors with their decision making.
In secondary care, it enables AI telehealth hubs to support dermatologists with triage, directing patients to the right next step. This will help speed up diagnosis, and patients with benign skin lesions can be identified earlier, redirecting them away from dermatology departments that are at full capacity due to the COVID-19 backlog.
Cancer Research has called the impact of the pandemic on cancer services "devastating", with a 42% drop in the number of people starting cancer treatment after screening.
DERM is already in use at University Hospitals Birmingham and Mid and South Essex Health & Care Partnership, where it has led to a significant reduction in unnecessary referrals to hospital.
Now NHSX have granted it the Phase 4 AI in Health and Care Award, making DERM available to clinicians across the country. Overall this award makes £140 million available over four years to accelerate the use of artificial intelligence technologies which meet the aims of the NHS Long Term Plan.
Dr Lucy Thomas, Consultant Dermatologist at Chelsea & Westminster Hospital, said: “Skin Analytics’ receipt of this award is great news for the NHS and dermatology departments. It will allow us to gather real-world data to demonstrate the benefits of AI on patient pathways and workforce challenges.
"Like many services, dermatology has severe backlogs due to the COVID-19 pandemic. This award couldn't have come at a better time to aid recovery and give us more time with the patients most in need of our help.”