Five minutes with... Stanley Healthcare's Troy Dayon
Stanley Healthcare provides technology solutions for caregivers, whether they are in a hospital, a care home, or at home. Here the company's President Troy Dayon explains the challenges carers face and what role technology plays in care for the elderly.
The healthcare workforce is shrinking while the population is aging. How can this be addressed?
Not only is the healthcare workforce shrinking, but the industry is facing the issue of overload and burnout among healthcare professionals.
One major approach to address this is to help each caregiver to accomplish more – not by pushing them harder but by focusing their attention on the things that matter most, harnessing technology such as AI and machine learning.
This technology provides caregivers with information on what care is needed, and which patients or residents to focus on first based on risk or acuity. The insights that it provides can help caregivers to be more efficient and address issues that would usually require more of their time, such as critical asset location, which takes time away from giving the care where it’s needed most.
What do healthcare providers need to do to address clinician burnout?
It is key for healthcare providers to understand the setting and the specific environment in which clinicians have been working. Many hospitals across the globe reconfigured entire wards to treat COVID-19 patients, and for more than a year, clinicians have been working in crisis mode.
They need the opportunity to return to regular, sustainable routines, supported by technologies that help make them more efficient, but also more fulfilled because they maximise time with patients, applying their hard-earned education and experience to work at the top of their license.
In aged care, the experience of managing a highly contagious and deadly virus has reinforced the need for a proactive approach to managing the health of residents. Caregivers need predictive tools like the Foresite solution to help them understand which residents are at greatest risk, so they can focus their efforts where they can have the most impact.
How can technology support older people?
AI-based technology such as Foresite harnesses a range of passive monitoring technologies to develop a baseline profile of a resident in aged care that highlights changes in health or behaviour. This information can help caregivers see where and when they need to spend their time, identifying heightened risk for falls and early indication of heart issues and even infections.
In fact, the technology has been shown to accurately predict events like falls, which allows intervention prior to an event occurring, rather than just automating routine processes.
Beyond this, connecting caregivers remotely to seniors to provide efficient care outside of traditional care settings is crucial. During the pandemic, there was a marked increase in the use of telehealth and remote monitoring of vitals, medication management and daily health.
These technologies fill a major gap in healthcare delivery: care for patients once they’ve been discharged from hospital, or for seniors who need some level of care but don’t need to be in an aged care home. By caring for people effectively in their own homes, we can help reduce the burden on hospitals from readmissions and leverage the expertise of aged care organisations beyond the confines of the four walls of the facility.
A lot of care is in fact delivered by unpaid carers. How can they be better supported with tech?
The remote monitoring technology that professional caregivers have access to can, in turn, also provide information and support to unpaid caregivers. For example, helping ensure a loved one is taking their medication, or knowing when they might be experiencing a change in health that can put them at risk.
Human observation is inherently limited, no matter how often you see a loved one, and you can’t always rely on what a senior says about themselves. It’s very common that they downplay problems, because no one wants to be a burden or relinquish their independence.
Remote solutions that connect family to an older relative help increase safety and wellbeing for the senior and reduce the burden on caregivers. They also make possible care decisions based on facts. At some point, a senior may need to transition to an aged care setting, which is often a difficult family conversation. This is an area where we can offer support to unpaid caregivers – reassurance during what is typically a very stressful period for the people providing that care.
In Japan several large hospitals are deploying robot nurses. Is this a potential solution?
I think the best path for robotics in healthcare is to focus on the root problem. It’s about dealing with a limited number of caregivers for a population that’s rapidly aging. Robotic technologies offer solutions that support the human healthcare providers with the information they need to make better and faster decisions about care. It’s about convergence and use of technology rather than a specific solution such as a robotic nurse.
This technology could be in the form of AI and machine learning or a robotic agent for routine administrative tasks. Removing low-value activities that distract caregivers from giving care is a key focus when it comes to robotics in healthcare. This automation can free up time for caregivers to spend more time with patients while optimising workflows.
Robots in this sense don’t replace humans. They are leveraged for what they do well – repetitive routines done with speed and precision – while humans are given the time and space to deliver what ultimately we all want: human-centered care.
Getting ready for cloud data-driven healthcare
As healthcare continues to recognise the value of data and digital transformation, many organisations are relying on the cloud to make their future-forward and data-centric thinking a reality. In fact, the global healthcare cloud computing market was valued at approximately $18 billion and is expected to generate around $61 billion USD by 2025.
At the forefront of these changes is the rapid adoption of cloud-based, or software-as-a-service (SaaS), applications. These apps can be used to handle patient interactions, track prescriptions, care, billing and more, and the insights derived from this important data can vastly improve operations, procurement and courses of treatment. However, before healthcare organisations can begin to dream about a true data-driven future, they have to deal with a data-driven dilemma: compliance.
Meeting regulation requirements
It’s no secret that healthcare is a highly regulated industry when it comes to data and privacy – and rightfully so. Patient records contain extremely sensitive data that, if changed or erased, could cost someone their life. This is why healthcare systems rely on legacy technologies, like Cerner and Epic EHRs, to manage patient information – the industry knows the vendors put an emphasis on making them as secure as possible.
Yet when SaaS applications are introduced and data starts being moved into them, compliance gets complicated. For example, every time a new application is introduced into an organisation, that organisation must have the vendor complete a BAA (Business Associate Agreement). This agreement essentially puts the responsibility for the safety of patients’ information — maintaining appropriate safeguards and complying with regulations — on the vendor.
However, even with these agreements in place, healthcare systems still are at risk of failing to meet compliance requirements. To comply with HIPAA, U.S. Food and Drug Administration 21 CFR Part 11 and other regulations that stipulate the need to exercise best practices to keep electronic patient data safe, healthcare organisations must maintain comprehensive audit trails – something that gets increasingly difficult when data sits in an application that resides in the vendor’s infrastructure.
Additionally, data often does not stay in the applications – instead healthcare users download, save and copy it into other business intelligence tools, creating data sprawl across the organisation and exposing patient privacy to greater risk.
With so many of these tools that are meant to spur growth and more effective care creating compliance challenges, it begs the question: how can healthcare organisations take advantage of the data they have without risking non-compliance?
Yes, healthcare organisations can adhere to regulations while also getting valuable insights from the wealth of data they have available. However, to help do this, organisations must own their data. This means data must be backed up and stored in an environment that they have control over, rather than in the SaaS vendors’ applications.
Backing up historical SaaS application data directly from an app into an organisation’s own secure cloud infrastructure, such as AWS or Microsoft Azure, makes it easier, and less costly, to maintain a digital chain of custody – or a trail of the different touchpoints of data. This not only increases the visibility and auditability of that data, but organisations can then set appropriate controls around who can access the data.
Likewise, having data from these apps located in one central, easily accessible location can decrease the number of copies floating around an organisation, reducing the surface area of exposure while also making it easier for organisations to securely pull data into business intelligence tools.
When healthcare providers have unfettered access to all their historical data, the possibilities for growth and insights are endless. For example, having ownership and ready access to authorised data can help organisations further implement and support outcome-based care. Insights enabled by this data will help inform diagnoses, prescriptions, treatment plans and more, which benefits not only the patient, but the healthcare ecosystem as a whole.
To keep optimising and improving care, healthcare systems must take advantage of new tools like SaaS applications. By backing up and owning their historical SaaS application data, they can do so while minimising the risk to patient privacy or compliance requirements. Having this ownership and access can propel healthcare organisations to be more data-driven – creating better outcomes for everyone.